diff --git a/.github/workflows/delete_doc_comment.yml b/.github/workflows/delete_doc_comment.yml
deleted file mode 100644
index 1cad807b..00000000
--- a/.github/workflows/delete_doc_comment.yml
+++ /dev/null
@@ -1,12 +0,0 @@
-name: Delete doc comment
-
-on:
-  pull_request:
-    types: [ closed ]
-
-
-jobs:
-  delete:
-    uses: huggingface/doc-builder/.github/workflows/delete_doc_comment_trigger.yml@main
-    with:
-      pr_number: ${{ github.event.number }}
\ No newline at end of file
diff --git a/Cargo.lock b/Cargo.lock
index 3baff665..7fdf301a 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -19,9 +19,9 @@ checksum = "f26201604c87b1e01bd3d98f8d5d9a8fcbb815e8cedb41ffccbeb4bf593a35fe"
 
 [[package]]
 name = "ahash"
-version = "0.8.6"
+version = "0.8.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "91429305e9f0a25f6205c5b8e0d2db09e0708a7a6df0f42212bb56c32c8ac97a"
+checksum = "77c3a9648d43b9cd48db467b3f87fdd6e146bcc88ab0180006cef2179fe11d01"
 dependencies = [
  "cfg-if",
  "once_cell",
@@ -40,9 +40,9 @@ dependencies = [
 
 [[package]]
 name = "anstream"
-version = "0.6.5"
+version = "0.6.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d664a92ecae85fd0a7392615844904654d1d5f5514837f471ddef4a057aba1b6"
+checksum = "6e2e1ebcb11de5c03c67de28a7df593d32191b44939c482e97702baaaa6ab6a5"
 dependencies = [
  "anstyle",
  "anstyle-parse",
@@ -88,9 +88,9 @@ dependencies = [
 
 [[package]]
 name = "anyhow"
-version = "1.0.76"
+version = "1.0.79"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "59d2a3357dde987206219e78ecfbbb6e8dad06cbb65292758d3270e6254f7355"
+checksum = "080e9890a082662b09c1ad45f567faeeb47f22b5fb23895fbe1e651e718e25ca"
 
 [[package]]
 name = "arc-swap"
@@ -128,18 +128,18 @@ checksum = "16e62a023e7c117e27523144c5d2459f4397fcc3cab0085af8e2224f643a0193"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
 name = "async-trait"
-version = "0.1.75"
+version = "0.1.77"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fdf6721fb0140e4f897002dd086c06f6c27775df19cfe1fccb21181a48fd2c98"
+checksum = "c980ee35e870bd1a4d2c8294d4c04d0499e67bca1e4b5cefcc693c2fa00caea9"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -261,9 +261,9 @@ checksum = "9e1b586273c5702936fe7b7d6896644d8be71e6314cfe09d3167c95f712589e8"
 
 [[package]]
 name = "base64"
-version = "0.21.5"
+version = "0.21.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "35636a1494ede3b646cc98f74f8e62c773a38a659ebc777a2cf26b9b74171df9"
+checksum = "9d297deb1925b89f2ccc13d7635fa0714f12c87adce1c75356b39ca9b7178567"
 
 [[package]]
 name = "bitflags"
@@ -273,9 +273,9 @@ checksum = "bef38d45163c2f1dde094a7dfd33ccf595c92905c8f8f4fdc18d06fb1037718a"
 
 [[package]]
 name = "bitflags"
-version = "2.4.1"
+version = "2.4.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "327762f6e5a765692301e5bb513e0d9fef63be86bbc14528052b1cd3e6f03e07"
+checksum = "ed570934406eb16438a4e976b1b4500774099c13b8cb96eec99f620f05090ddf"
 
 [[package]]
 name = "block-buffer"
@@ -310,6 +310,38 @@ version = "1.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "a2bd12c1caf447e69cd4528f47f94d203fd2582878ecb9e9465484c4148a8223"
 
+[[package]]
+name = "camino"
+version = "1.1.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c59e92b5a388f549b863a7bea62612c09f24c8393560709a54558a9abdfb3b9c"
+dependencies = [
+ "serde",
+]
+
+[[package]]
+name = "cargo-platform"
+version = "0.1.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ceed8ef69d8518a5dda55c07425450b58a4e1946f4951eab6d7191ee86c2443d"
+dependencies = [
+ "serde",
+]
+
+[[package]]
+name = "cargo_metadata"
+version = "0.18.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "2d886547e41f740c616ae73108f6eb70afe6d940c7bc697cb30f13daec073037"
+dependencies = [
+ "camino",
+ "cargo-platform",
+ "semver",
+ "serde",
+ "serde_json",
+ "thiserror",
+]
+
 [[package]]
 name = "cassowary"
 version = "0.3.0"
@@ -333,9 +365,9 @@ checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
 
 [[package]]
 name = "clap"
-version = "4.4.11"
+version = "4.4.18"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bfaff671f6b22ca62406885ece523383b9b64022e341e53e009a62ebc47a45f2"
+checksum = "1e578d6ec4194633722ccf9544794b71b1385c3c027efe0c55db226fc880865c"
 dependencies = [
  "clap_builder",
  "clap_derive",
@@ -343,9 +375,9 @@ dependencies = [
 
 [[package]]
 name = "clap_builder"
-version = "4.4.11"
+version = "4.4.18"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a216b506622bb1d316cd51328dce24e07bdff4a6128a47c7e7fad11878d5adbb"
+checksum = "4df4df40ec50c46000231c914968278b1eb05098cf8f1b3a518a95030e71d1c7"
 dependencies = [
  "anstream",
  "anstyle",
@@ -362,7 +394,7 @@ dependencies = [
  "heck",
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -379,15 +411,15 @@ checksum = "acbf1af155f9b9ef647e42cdc158db4b64a1b61f743629225fde6f3e0be2a7c7"
 
 [[package]]
 name = "console"
-version = "0.15.7"
+version = "0.15.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c926e00cc70edefdc64d3a5ff31cc65bb97a3460097762bd23afb4d8145fccf8"
+checksum = "0e1f83fc076bd6dd27517eacdf25fef6c4dfe5f1d7448bafaaf3a26f13b5e4eb"
 dependencies = [
  "encode_unicode",
  "lazy_static",
  "libc",
  "unicode-width",
- "windows-sys 0.45.0",
+ "windows-sys 0.52.0",
 ]
 
 [[package]]
@@ -408,9 +440,9 @@ checksum = "06ea2b9bc92be3c2baa9334a323ebca2d6f074ff852cd1d7b11064035cd3868f"
 
 [[package]]
 name = "cpufeatures"
-version = "0.2.11"
+version = "0.2.12"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ce420fe07aecd3e67c5f910618fe65e94158f6dcc0adf44e00d69ce2bdfe0fd0"
+checksum = "53fe5e26ff1b7aef8bca9c6080520cfb8d9333c7568e1829cef191a9723e5504"
 dependencies = [
  "libc",
 ]
@@ -426,45 +458,37 @@ dependencies = [
 
 [[package]]
 name = "crossbeam-channel"
-version = "0.5.9"
+version = "0.5.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "14c3242926edf34aec4ac3a77108ad4854bffaa2e4ddc1824124ce59231302d5"
+checksum = "176dc175b78f56c0f321911d9c8eb2b77a78a4860b9c19db83835fea1a46649b"
 dependencies = [
- "cfg-if",
  "crossbeam-utils",
 ]
 
 [[package]]
 name = "crossbeam-deque"
-version = "0.8.4"
+version = "0.8.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fca89a0e215bab21874660c67903c5f143333cab1da83d041c7ded6053774751"
+checksum = "613f8cc01fe9cf1a3eb3d7f488fd2fa8388403e97039e2f73692932e291a770d"
 dependencies = [
- "cfg-if",
  "crossbeam-epoch",
  "crossbeam-utils",
 ]
 
 [[package]]
 name = "crossbeam-epoch"
-version = "0.9.16"
+version = "0.9.18"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2d2fe95351b870527a5d09bf563ed3c97c0cffb87cf1c78a591bf48bb218d9aa"
+checksum = "5b82ac4a3c2ca9c3460964f020e1402edd5753411d7737aa39c3714ad1b5420e"
 dependencies = [
- "autocfg",
- "cfg-if",
  "crossbeam-utils",
- "memoffset",
 ]
 
 [[package]]
 name = "crossbeam-utils"
-version = "0.8.17"
+version = "0.8.19"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c06d96137f14f244c37f989d9fff8f95e6c18b918e71f36638f8c49112e4c78f"
-dependencies = [
- "cfg-if",
-]
+checksum = "248e3bacc7dc6baa3b21e405ee045c3047101a49145e7e9eca583ab4c2ca5345"
 
 [[package]]
 name = "crossterm"
@@ -472,7 +496,7 @@ version = "0.27.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "f476fe445d41c9e991fd07515a6f463074b782242ccf4a5b7b1d1012e70824df"
 dependencies = [
- "bitflags 2.4.1",
+ "bitflags 2.4.2",
  "crossterm_winapi",
  "libc",
  "mio",
@@ -503,12 +527,12 @@ dependencies = [
 
 [[package]]
 name = "ctrlc"
-version = "3.4.1"
+version = "3.4.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "82e95fbd621905b854affdc67943b043a0fbb6ed7385fd5a25650d19a8a6cfdf"
+checksum = "b467862cc8610ca6fc9a1532d7777cee0804e678ab45410897b9396495994a0b"
 dependencies = [
  "nix",
- "windows-sys 0.48.0",
+ "windows-sys 0.52.0",
 ]
 
 [[package]]
@@ -548,9 +572,9 @@ dependencies = [
 
 [[package]]
 name = "deranged"
-version = "0.3.10"
+version = "0.3.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8eb30d70a07a3b04884d2677f06bec33509dc67ca60d92949e5535352d3191dc"
+checksum = "b42b6fa04a440b495c8b04d0e71b707c585f83cb9cb28cf8cd0d976c315e31b4"
 dependencies = [
  "powerfmt",
 ]
@@ -758,9 +782,9 @@ dependencies = [
 
 [[package]]
 name = "futures"
-version = "0.3.29"
+version = "0.3.30"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "da0290714b38af9b4a7b094b8a37086d1b4e61f2df9122c3cad2577669145335"
+checksum = "645c6916888f6cb6350d2550b80fb63e734897a8498abe35cfb732b6487804b0"
 dependencies = [
  "futures-channel",
  "futures-core",
@@ -789,9 +813,9 @@ checksum = "dfc6580bb841c5a68e9ef15c77ccc837b40a7504914d52e47b8b0e9bbda25a1d"
 
 [[package]]
 name = "futures-executor"
-version = "0.3.29"
+version = "0.3.30"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0f4fb8693db0cf099eadcca0efe2a5a22e4550f98ed16aba6c48700da29597bc"
+checksum = "a576fc72ae164fca6b9db127eaa9a9dda0d61316034f33a0a0d4eda41f02b01d"
 dependencies = [
  "futures-core",
  "futures-task",
@@ -812,7 +836,7 @@ checksum = "87750cf4b7a4c0625b1529e4c543c2182106e4dedc60a2a6455e00d212c489ac"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -866,9 +890,9 @@ dependencies = [
 
 [[package]]
 name = "getrandom"
-version = "0.2.11"
+version = "0.2.12"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fe9006bed769170c11f845cf00c7c1e9092aeb3f268e007c3e760ac68008070f"
+checksum = "190092ea657667030ac6a35e305e62fc4dd69fd98ac98631e5d3a2b1575a12b5"
 dependencies = [
  "cfg-if",
  "libc",
@@ -893,9 +917,9 @@ dependencies = [
 
 [[package]]
 name = "h2"
-version = "0.3.22"
+version = "0.3.24"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4d6250322ef6e60f93f9a2162799302cd6f68f79f6e5d85c8c16f14d1d958178"
+checksum = "bb2c4422095b67ee78da96fbb51a4cc413b3b25883c7717ff7ca1ab31022c9c9"
 dependencies = [
  "bytes",
  "fnv",
@@ -939,9 +963,9 @@ checksum = "95505c38b4572b2d910cecb0281560f54b440a19336cbbcb27bf6ce6adc6f5a8"
 
 [[package]]
 name = "hermit-abi"
-version = "0.3.3"
+version = "0.3.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d77f7ec81a6d05a3abb01ab6eb7590f6083d08449fe5a1c8b1e620283546ccb7"
+checksum = "5d3d0e0f38255e7fa3cf31335b3a56f05febd18025f4db5ef7a0cfb4f8da651f"
 
 [[package]]
 name = "hf-hub"
@@ -1183,9 +1207,9 @@ checksum = "b1a46d1a171d865aa5f83f92695765caa047a9b4cbae2cbf37dbd613a793fd4c"
 
 [[package]]
 name = "js-sys"
-version = "0.3.66"
+version = "0.3.67"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cee9c64da59eae3b50095c18d3e74f8b73c0b86d2792824ff01bbce68ba229ca"
+checksum = "9a1d36f1235bc969acba30b7f5990b864423a6068a10f7c90ae8f0112e3a59d1"
 dependencies = [
  "wasm-bindgen",
 ]
@@ -1198,9 +1222,9 @@ checksum = "e2abad23fbc42b3700f2f279844dc832adb2b2eb069b2df918f455c4e18cc646"
 
 [[package]]
 name = "libc"
-version = "0.2.151"
+version = "0.2.152"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "302d7ab3130588088d277783b1e2d2e10c9e9e4a16dd9050e6ec93fb3e7048f4"
+checksum = "13e3bf6590cbc649f4d1a3eefc9d5d6eb746f5200ffb04e5e142700b8faa56e7"
 
 [[package]]
 name = "libm"
@@ -1214,16 +1238,16 @@ version = "0.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "85c833ca1e66078851dba29046874e38f08b2c883700aa29a03ddd3b23814ee8"
 dependencies = [
- "bitflags 2.4.1",
+ "bitflags 2.4.2",
  "libc",
  "redox_syscall",
 ]
 
 [[package]]
 name = "linux-raw-sys"
-version = "0.4.12"
+version = "0.4.13"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c4cd1a83af159aa67994778be9070f0ae1bd732942279cabb14f86f986a21456"
+checksum = "01cda141df6706de531b6c46c3a33ecca755538219bd484262fa09410c13539c"
 
 [[package]]
 name = "lock_api"
@@ -1289,18 +1313,9 @@ checksum = "0e7465ac9959cc2b1404e8e2367b43684a6d13790fe23056cc8c6c5a6b7bcb94"
 
 [[package]]
 name = "memchr"
-version = "2.6.4"
+version = "2.7.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f665ee40bc4a3c5590afb1e9677db74a508659dfd71e126420da8274909a0167"
-
-[[package]]
-name = "memoffset"
-version = "0.9.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5a634b1c61a95585bd15607c6ab0c4e5b226e695ff2800ba0cdccddf208c406c"
-dependencies = [
- "autocfg",
-]
+checksum = "523dc4f511e55ab87b694dc30d0f820d60906ef06413f93d4d7a1385599cc149"
 
 [[package]]
 name = "metrics"
@@ -1319,7 +1334,7 @@ version = "0.12.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1d4fa7ce7c4862db464a37b0b31d89bca874562f034bd7993895572783d02950"
 dependencies = [
- "base64 0.21.5",
+ "base64 0.21.7",
  "hyper",
  "indexmap 1.9.3",
  "ipnet",
@@ -1333,13 +1348,13 @@ dependencies = [
 
 [[package]]
 name = "metrics-macros"
-version = "0.7.0"
+version = "0.7.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ddece26afd34c31585c74a4db0630c376df271c285d682d1e55012197830b6df"
+checksum = "38b4faf00617defe497754acde3024865bc143d44a86799b24e191ecff91354f"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -1375,9 +1390,9 @@ dependencies = [
 
 [[package]]
 name = "minijinja"
-version = "1.0.10"
+version = "1.0.12"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "208758577ef2c86cf5dd3e85730d161413ec3284e2d73b2ef65d9a24d9971bcb"
+checksum = "6fe0ff215195a22884d867b547c70a0c4815cbbcc70991f281dca604b20d10ce"
 dependencies = [
  "serde",
 ]
@@ -1411,9 +1426,9 @@ dependencies = [
 
 [[package]]
 name = "monostate"
-version = "0.1.10"
+version = "0.1.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e404e13820ea0df0eda93aa294e0c80de76a0daa6bec590d376fbec6d7810394"
+checksum = "878c2a1f1c70e5724fa28f101ca787b6a7e8ad5c5e4ae4ca3b0fa4a419fa9075"
 dependencies = [
  "monostate-impl",
  "serde",
@@ -1421,13 +1436,13 @@ dependencies = [
 
 [[package]]
 name = "monostate-impl"
-version = "0.1.10"
+version = "0.1.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "531c82a934da419bed3da09bd87d6e98c72f8d4aa755427b3b009c2b8b8c433c"
+checksum = "f686d68a09079e63b1d2c64aa305095887ce50565f00a922ebfaeeee0d9ba6ce"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -1510,7 +1525,7 @@ version = "0.27.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "2eb04e9c688eff1c89d72b407f168cf79bb9e867a9d3323ed6c01519eb9cc053"
 dependencies = [
- "bitflags 2.4.1",
+ "bitflags 2.4.2",
  "cfg-if",
  "libc",
 ]
@@ -1587,9 +1602,9 @@ checksum = "830b246a0e5f20af87141b25c173cd1b609bd7779a4617d6ec582abaf90870f3"
 
 [[package]]
 name = "object"
-version = "0.32.1"
+version = "0.32.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9cf5f9dd3933bd50a9e1f149ec995f39ae2c496d31fd772c1fd45ebc27e902b0"
+checksum = "a6a622008b6e321afc04970976f62ee297fdbaa6f95318ca343e3eebb9648441"
 dependencies = [
  "memchr",
 ]
@@ -1624,11 +1639,11 @@ dependencies = [
 
 [[package]]
 name = "openssl"
-version = "0.10.62"
+version = "0.10.63"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8cde4d2d9200ad5909f8dac647e29482e07c3a35de8a13fce7c9c7747ad9f671"
+checksum = "15c9d69dd87a29568d4d017cfe8ec518706046a05184e5aea92d0af890b803c8"
 dependencies = [
- "bitflags 2.4.1",
+ "bitflags 2.4.2",
  "cfg-if",
  "foreign-types",
  "libc",
@@ -1645,7 +1660,7 @@ checksum = "a948666b637a0f465e8564c73e89d4dde00d72d4d473cc972f390fc3dcee7d9c"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -1656,9 +1671,9 @@ checksum = "ff011a302c396a5197692431fc1948019154afc178baf7d8e37367442a4601cf"
 
 [[package]]
 name = "openssl-sys"
-version = "0.9.98"
+version = "0.9.99"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c1665caf8ab2dc9aef43d1c0023bd904633a6a05cb30b0ad59bec2ae986e57a7"
+checksum = "22e1bf214306098e4832460f797824c05d25aacdf896f64a985fb0fd992454ae"
 dependencies = [
  "cc",
  "libc",
@@ -1846,22 +1861,22 @@ dependencies = [
 
 [[package]]
 name = "pin-project"
-version = "1.1.3"
+version = "1.1.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fda4ed1c6c173e3fc7a83629421152e01d7b1f9b7f65fb301e490e8cfc656422"
+checksum = "0302c4a0442c456bd56f841aee5c3bfd17967563f6fadc9ceb9f9c23cf3807e0"
 dependencies = [
  "pin-project-internal",
 ]
 
 [[package]]
 name = "pin-project-internal"
-version = "1.1.3"
+version = "1.1.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4359fd9c9171ec6e8c62926d6faaf553a8dc3f64e1507e76da7911b4f6a04405"
+checksum = "266c042b60c9c76b8d53061e52b2e0d1116abc57cefc8c5cd671619a56ac3690"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -1878,9 +1893,9 @@ checksum = "8b870d8c151b6f2fb93e84a13146138f05d02ed11c7e7c54f8826aaaf7c9f184"
 
 [[package]]
 name = "pkg-config"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "69d3587f8a9e599cc7ec2c00e331f71c4e69a5f9a4b8a6efd5b07466b9736f9a"
+checksum = "2900ede94e305130c13ddd391e0ab7cbaeb783945ae07a279c268cb05109c6cb"
 
 [[package]]
 name = "portable-atomic"
@@ -1902,12 +1917,12 @@ checksum = "5b40af805b3121feab8a3c29f04d8ad262fa8e0561883e7653e024ae4479e6de"
 
 [[package]]
 name = "prettyplease"
-version = "0.2.15"
+version = "0.2.16"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ae005bd773ab59b4725093fd7df83fd7892f7d8eafb48dbd7de6e024e4215f9d"
+checksum = "a41cf62165e97c7f814d2221421dbb9afcbcdb0a88068e5ea206e19951c2cbb5"
 dependencies = [
  "proc-macro2",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -1936,9 +1951,9 @@ dependencies = [
 
 [[package]]
 name = "proc-macro2"
-version = "1.0.71"
+version = "1.0.78"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "75cb1540fadbd5b8fbccc4dddad2734eba435053f725621c070711a14bb5f4b8"
+checksum = "e2422ad645d89c99f8f3e6b88a9fdeca7fabeac836b1002371c4367c8f984aae"
 dependencies = [
  "unicode-ident",
 ]
@@ -1980,7 +1995,7 @@ dependencies = [
  "prost 0.12.3",
  "prost-types",
  "regex",
- "syn 2.0.42",
+ "syn 2.0.48",
  "tempfile",
  "which",
 ]
@@ -2008,7 +2023,7 @@ dependencies = [
  "itertools 0.11.0",
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -2038,9 +2053,9 @@ dependencies = [
 
 [[package]]
 name = "quote"
-version = "1.0.33"
+version = "1.0.35"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5267fca4496028628a95160fc423a33e8b2e6af8a5302579e322e4b520293cae"
+checksum = "291ec9ab5efd934aaf503a6466c5d5251535d108ee747472c3977cc5acc868ef"
 dependencies = [
  "proc-macro2",
 ]
@@ -2081,7 +2096,7 @@ version = "0.23.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "2e2e4cd95294a85c3b4446e63ef054eea43e0205b1fd60120c16b74ff7ff96ad"
 dependencies = [
- "bitflags 2.4.1",
+ "bitflags 2.4.2",
  "cassowary",
  "crossterm",
  "indoc",
@@ -2103,9 +2118,9 @@ dependencies = [
 
 [[package]]
 name = "rayon"
-version = "1.8.0"
+version = "1.8.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9c27db03db7734835b3f53954b534c91069375ce6ccaa2e065441e07d9b6cdb1"
+checksum = "fa7237101a77a10773db45d62004a272517633fbcc3df19d96455ede1122e051"
 dependencies = [
  "either",
  "rayon-core",
@@ -2124,9 +2139,9 @@ dependencies = [
 
 [[package]]
 name = "rayon-core"
-version = "1.12.0"
+version = "1.12.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5ce3fb6ad83f861aac485e76e1985cd109d9a3713802152be56c3b1f0e0658ed"
+checksum = "1465873a3dfdaa8ae7cb14b4383657caab0b3e8a0aa9ae8e04b044854c8dfce2"
 dependencies = [
  "crossbeam-deque",
  "crossbeam-utils",
@@ -2154,13 +2169,13 @@ dependencies = [
 
 [[package]]
 name = "regex"
-version = "1.10.2"
+version = "1.10.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "380b951a9c5e80ddfd6136919eef32310721aa4aacd4889a8d39124b026ab343"
+checksum = "b62dbe01f0b06f9d8dc7d49e05a0785f153b00b2c227856282f671e0318c9b15"
 dependencies = [
  "aho-corasick",
  "memchr",
- "regex-automata 0.4.3",
+ "regex-automata 0.4.5",
  "regex-syntax 0.8.2",
 ]
 
@@ -2175,9 +2190,9 @@ dependencies = [
 
 [[package]]
 name = "regex-automata"
-version = "0.4.3"
+version = "0.4.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5f804c7828047e88b2d32e2d7fe5a105da8ee3264f01902f796c8e067dc2483f"
+checksum = "5bb987efffd3c6d0d8f5f89510bb458559eab11e4f869acb20bf845e016259cd"
 dependencies = [
  "aho-corasick",
  "memchr",
@@ -2208,7 +2223,7 @@ version = "0.11.23"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "37b1ae8d9ac08420c66222fb9096fc5de435c3c48542bc5336c51892cffafb41"
 dependencies = [
- "base64 0.21.5",
+ "base64 0.21.7",
  "bytes",
  "encoding_rs",
  "futures-core",
@@ -2290,7 +2305,7 @@ dependencies = [
  "quote",
  "rust-embed-utils",
  "shellexpand",
- "syn 2.0.42",
+ "syn 2.0.48",
  "walkdir",
 ]
 
@@ -2321,11 +2336,11 @@ dependencies = [
 
 [[package]]
 name = "rustix"
-version = "0.38.28"
+version = "0.38.30"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "72e572a5e8ca657d7366229cdde4bd14c4eb5499a9573d4d366fe1b599daa316"
+checksum = "322394588aaf33c24007e8bb3238ee3e4c5c09c084ab32bc73890b99ff326bca"
 dependencies = [
- "bitflags 2.4.1",
+ "bitflags 2.4.2",
  "errno",
  "libc",
  "linux-raw-sys",
@@ -2362,7 +2377,7 @@ version = "1.0.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1c74cae0a4cf6ccbbf5f359f08efdf8ee7e1dc532573bf0db71968cb56b1448c"
 dependencies = [
- "base64 0.21.5",
+ "base64 0.21.7",
 ]
 
 [[package]]
@@ -2398,11 +2413,11 @@ dependencies = [
 
 [[package]]
 name = "schannel"
-version = "0.1.22"
+version = "0.1.23"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0c3733bf4cf7ea0880754e19cb5a462007c4a8c1914bff372ccc95b464f1df88"
+checksum = "fbc91545643bcf3a0bbb6569265615222618bdf33ce4ffbbd13c4bbd4c093534"
 dependencies = [
- "windows-sys 0.48.0",
+ "windows-sys 0.52.0",
 ]
 
 [[package]]
@@ -2446,35 +2461,38 @@ dependencies = [
 
 [[package]]
 name = "semver"
-version = "1.0.20"
+version = "1.0.21"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "836fa6a3e1e547f9a2c4040802ec865b5d85f4014efe00555d7090a3dcaa1090"
+checksum = "b97ed7a9823b74f99c7742f5336af7be5ecd3eeafcb1507d1fa93347b1d589b0"
+dependencies = [
+ "serde",
+]
 
 [[package]]
 name = "serde"
-version = "1.0.193"
+version = "1.0.195"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "25dd9975e68d0cb5aa1120c288333fc98731bd1dd12f561e468ea4728c042b89"
+checksum = "63261df402c67811e9ac6def069e4786148c4563f4b50fd4bf30aa370d626b02"
 dependencies = [
  "serde_derive",
 ]
 
 [[package]]
 name = "serde_derive"
-version = "1.0.193"
+version = "1.0.195"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "43576ca501357b9b071ac53cdc7da8ef0cbd9493d8df094cd821777ea6e894d3"
+checksum = "46fe8f8603d81ba86327b23a2e9cdf49e1255fb94a4c5f297f6ee0547178ea2c"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
 name = "serde_json"
-version = "1.0.108"
+version = "1.0.111"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3d1c7e3eac408d115102c4c24ad393e0821bb3a5df4d506a80f85f7a742a526b"
+checksum = "176e46fa42316f18edd598015a5166857fc835ec732f5215eac6b7bdbf0a84f4"
 dependencies = [
  "itoa",
  "ryu",
@@ -2483,9 +2501,9 @@ dependencies = [
 
 [[package]]
 name = "serde_path_to_error"
-version = "0.1.14"
+version = "0.1.15"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4beec8bce849d58d06238cb50db2e1c417cfeafa4c63f692b15c82b7c80f8335"
+checksum = "ebd154a240de39fdebcf5775d2675c204d7c13cf39a4c697be6493c8e734337c"
 dependencies = [
  "itoa",
  "serde",
@@ -2588,9 +2606,9 @@ dependencies = [
 
 [[package]]
 name = "smallvec"
-version = "1.11.2"
+version = "1.13.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4dccd0940a2dcdf68d092b8cbab7dc0ad8fa938bf95787e1b916b0e3d0e8e970"
+checksum = "e6ecd384b10a64542d77071bd64bd7b231f4ed5940fba55e98c3de13824cf3d7"
 
 [[package]]
 name = "socket2"
@@ -2651,7 +2669,7 @@ dependencies = [
  "proc-macro2",
  "quote",
  "rustversion",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -2667,9 +2685,9 @@ dependencies = [
 
 [[package]]
 name = "syn"
-version = "2.0.42"
+version = "2.0.48"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5b7d0a2c048d661a1a59fcd7355baa232f7ed34e0ee4df2eef3c1c1c0d3852d8"
+checksum = "0f3531638e407dfc0814761abb7c00a5b54992b849452a0646b7f65c9f770f3f"
 dependencies = [
  "proc-macro2",
  "quote",
@@ -2684,16 +2702,16 @@ checksum = "2047c6ded9c721764247e62cd3b03c09ffc529b2ba5b10ec482ae507a4a70160"
 
 [[package]]
 name = "sysinfo"
-version = "0.29.11"
+version = "0.30.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cd727fc423c2060f6c92d9534cef765c65a6ed3f428a03d7def74a8c4348e666"
+checksum = "1fb4f3438c8f6389c864e61221cbc97e9bca98b4daf39a5beb7bea660f528bb2"
 dependencies = [
  "cfg-if",
  "core-foundation-sys",
  "libc",
  "ntapi",
  "once_cell",
- "winapi",
+ "windows",
 ]
 
 [[package]]
@@ -2743,20 +2761,20 @@ dependencies = [
 
 [[package]]
 name = "tempfile"
-version = "3.8.1"
+version = "3.9.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7ef1adac450ad7f4b3c28589471ade84f25f731a7a0fe30d71dfa9f60fd808e5"
+checksum = "01ce4141aa927a6d1bd34a041795abd0db1cccba5d5f24b009f694bdf3a1f3fa"
 dependencies = [
  "cfg-if",
  "fastrand",
  "redox_syscall",
  "rustix",
- "windows-sys 0.48.0",
+ "windows-sys 0.52.0",
 ]
 
 [[package]]
 name = "text-generation-benchmark"
-version = "1.3.4"
+version = "1.4.0"
 dependencies = [
  "average",
  "clap",
@@ -2777,7 +2795,7 @@ dependencies = [
 
 [[package]]
 name = "text-generation-client"
-version = "1.3.4"
+version = "1.4.0"
 dependencies = [
  "futures",
  "grpc-metadata",
@@ -2793,7 +2811,7 @@ dependencies = [
 
 [[package]]
 name = "text-generation-launcher"
-version = "1.3.4"
+version = "1.4.0"
 dependencies = [
  "clap",
  "ctrlc",
@@ -2809,7 +2827,7 @@ dependencies = [
 
 [[package]]
 name = "text-generation-router"
-version = "1.3.4"
+version = "1.4.0"
 dependencies = [
  "async-stream",
  "axum",
@@ -2846,22 +2864,22 @@ dependencies = [
 
 [[package]]
 name = "thiserror"
-version = "1.0.51"
+version = "1.0.56"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f11c217e1416d6f036b870f14e0413d480dbf28edbee1f877abaf0206af43bb7"
+checksum = "d54378c645627613241d077a3a79db965db602882668f9136ac42af9ecb730ad"
 dependencies = [
  "thiserror-impl",
 ]
 
 [[package]]
 name = "thiserror-impl"
-version = "1.0.51"
+version = "1.0.56"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "01742297787513b79cf8e29d1056ede1313e2420b7b3b15d0a768b4921f549df"
+checksum = "fa0faa943b50f3db30a20aa7e265dbc66076993efed8463e8de414e5d06d3471"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -2991,7 +3009,7 @@ checksum = "5b8a1e28f2deaa14e508979454cb3a223b10b938b45af148bc0986de36f1923b"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -3049,7 +3067,7 @@ checksum = "3082666a3a6433f7f511c7192923fa1fe07c69332d3c6a2e6bb040b569199d5a"
 dependencies = [
  "async-trait",
  "axum",
- "base64 0.21.5",
+ "base64 0.21.7",
  "bytes",
  "futures-core",
  "futures-util",
@@ -3078,7 +3096,7 @@ dependencies = [
  "async-stream",
  "async-trait",
  "axum",
- "base64 0.21.5",
+ "base64 0.21.7",
  "bytes",
  "h2",
  "http",
@@ -3106,7 +3124,7 @@ dependencies = [
  "proc-macro2",
  "prost-build",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -3135,7 +3153,7 @@ version = "0.4.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "61c5bb1d698276a2443e5ecfabc1008bf15a36c12e6a7176e7bf089ea9131140"
 dependencies = [
- "bitflags 2.4.1",
+ "bitflags 2.4.2",
  "bytes",
  "futures-core",
  "futures-util",
@@ -3179,7 +3197,7 @@ checksum = "34704c8d6ebcbc939824180af020566b01a7c01f80641264eba0999f6c2b6be7"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -3297,9 +3315,9 @@ dependencies = [
 
 [[package]]
 name = "unicode-bidi"
-version = "0.3.14"
+version = "0.3.15"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6f2528f27a9eb2b21e69c95319b30bd0efd85d09c379741b0f78ea1d86be2416"
+checksum = "08f95100a766bf4f8f28f90d77e0a5461bbdb219042e7679bebe79004fed8d75"
 
 [[package]]
 name = "unicode-ident"
@@ -3361,7 +3379,7 @@ version = "2.9.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "f8cdd25c339e200129fe4de81451814e5228c9b771d57378817d6117cc2b3f97"
 dependencies = [
- "base64 0.21.5",
+ "base64 0.21.7",
  "flate2",
  "log",
  "native-tls",
@@ -3419,7 +3437,7 @@ dependencies = [
  "proc-macro2",
  "quote",
  "regex",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
@@ -3452,11 +3470,14 @@ checksum = "accd4ea62f7bb7a82fe23066fb0957d48ef677f6eeb8215f372f52e48bb32426"
 
 [[package]]
 name = "vergen"
-version = "8.2.6"
+version = "8.3.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1290fd64cc4e7d3c9b07d7f333ce0ce0007253e32870e632624835cc80b83939"
+checksum = "e27d6bdd219887a9eadd19e1c34f32e47fa332301184935c6d9bca26f3cca525"
 dependencies = [
  "anyhow",
+ "cargo_metadata",
+ "cfg-if",
+ "regex",
  "rustc_version",
  "rustversion",
  "sysinfo",
@@ -3496,9 +3517,9 @@ checksum = "9c8d87e72b64a3b4db28d11ce29237c246188f4f51057d65a7eab63b7987e423"
 
 [[package]]
 name = "wasm-bindgen"
-version = "0.2.89"
+version = "0.2.90"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0ed0d4f68a3015cc185aff4db9506a015f4b96f95303897bfa23f846db54064e"
+checksum = "b1223296a201415c7fad14792dbefaace9bd52b62d33453ade1c5b5f07555406"
 dependencies = [
  "cfg-if",
  "wasm-bindgen-macro",
@@ -3506,24 +3527,24 @@ dependencies = [
 
 [[package]]
 name = "wasm-bindgen-backend"
-version = "0.2.89"
+version = "0.2.90"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1b56f625e64f3a1084ded111c4d5f477df9f8c92df113852fa5a374dbda78826"
+checksum = "fcdc935b63408d58a32f8cc9738a0bffd8f05cc7c002086c6ef20b7312ad9dcd"
 dependencies = [
  "bumpalo",
  "log",
  "once_cell",
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
  "wasm-bindgen-shared",
 ]
 
 [[package]]
 name = "wasm-bindgen-futures"
-version = "0.4.39"
+version = "0.4.40"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ac36a15a220124ac510204aec1c3e5db8a22ab06fd6706d881dc6149f8ed9a12"
+checksum = "bde2032aeb86bdfaecc8b261eef3cba735cc426c1f3a3416d1e0791be95fc461"
 dependencies = [
  "cfg-if",
  "js-sys",
@@ -3533,9 +3554,9 @@ dependencies = [
 
 [[package]]
 name = "wasm-bindgen-macro"
-version = "0.2.89"
+version = "0.2.90"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0162dbf37223cd2afce98f3d0785506dcb8d266223983e4b5b525859e6e182b2"
+checksum = "3e4c238561b2d428924c49815533a8b9121c664599558a5d9ec51f8a1740a999"
 dependencies = [
  "quote",
  "wasm-bindgen-macro-support",
@@ -3543,28 +3564,28 @@ dependencies = [
 
 [[package]]
 name = "wasm-bindgen-macro-support"
-version = "0.2.89"
+version = "0.2.90"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f0eb82fcb7930ae6219a7ecfd55b217f5f0893484b7a13022ebb2b2bf20b5283"
+checksum = "bae1abb6806dc1ad9e560ed242107c0f6c84335f1749dd4e8ddb012ebd5e25a7"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
  "wasm-bindgen-backend",
  "wasm-bindgen-shared",
 ]
 
 [[package]]
 name = "wasm-bindgen-shared"
-version = "0.2.89"
+version = "0.2.90"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7ab9b36309365056cd639da3134bf87fa8f3d86008abf99e612384a6eecd459f"
+checksum = "4d91413b1c31d7539ba5ef2451af3f0b833a005eb27a631cec32bc0635a8602b"
 
 [[package]]
 name = "web-sys"
-version = "0.3.66"
+version = "0.3.67"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "50c24a44ec86bb68fbecd1b3efed7e85ea5621b39b35ef2766b66cd984f8010f"
+checksum = "58cd2333b6e0be7a39605f0e255892fd7418a682d8da8fe042fe25128794d2ed"
 dependencies = [
  "js-sys",
  "wasm-bindgen",
@@ -3629,6 +3650,25 @@ version = "0.4.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "712e227841d057c1ee1cd2fb22fa7e5a5461ae8e48fa2ca79ec42cfc1931183f"
 
+[[package]]
+name = "windows"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e48a53791691ab099e5e2ad123536d0fff50652600abaf43bbf952894110d0be"
+dependencies = [
+ "windows-core",
+ "windows-targets 0.52.0",
+]
+
+[[package]]
+name = "windows-core"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "33ab640c8d7e35bf8ba19b884ba838ceb4fba93a4e8c65a9059d08afcfc683d9"
+dependencies = [
+ "windows-targets 0.52.0",
+]
+
 [[package]]
 name = "windows-sys"
 version = "0.45.0"
@@ -3854,7 +3894,7 @@ checksum = "9ce1b18ccd8e73a9321186f97e46f9f04b778851177567b1975109d26a08d2a6"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.42",
+ "syn 2.0.48",
 ]
 
 [[package]]
diff --git a/Cargo.toml b/Cargo.toml
index 80e6e145..a328a368 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -9,7 +9,7 @@ members = [
 resolver = "2"
 
 [workspace.package]
-version = "1.3.4"
+version = "1.4.0"
 edition = "2021"
 authors = ["Olivier Dehaene"]
 homepage = "https://github.com/huggingface/text-generation-inference"
diff --git a/README.md b/README.md
index 73356f28..5fdb9f14 100644
--- a/README.md
+++ b/README.md
@@ -62,7 +62,7 @@ For a detailed starting guide, please see the [Quick Tour](https://huggingface.c
 model=HuggingFaceH4/zephyr-7b-beta
 volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
 
-docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3 --model-id $model
+docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.4 --model-id $model
 ```
 
 And then you can make requests like
@@ -76,7 +76,7 @@ curl 127.0.0.1:8080/generate \
 
 **Note:** To use NVIDIA GPUs, you need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). We also recommend using NVIDIA drivers with CUDA version 12.2 or higher. For running the Docker container on a machine with no GPUs or CUDA support, it is enough to remove the `--gpus all` flag and add `--disable-custom-kernels`, please note CPU is not the intended platform for this project, so performance might be subpar.
 
-**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3-rocm --model-id $model` instead of the command above.
+**Note:** TGI supports AMD Instinct MI210 and MI250 GPUs. Details can be found in the [Supported Hardware documentation](https://huggingface.co/docs/text-generation-inference/supported_models#supported-hardware). To use AMD GPUs, please use `docker run --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.4-rocm --model-id $model` instead of the command above.
 
 To see all options to serve your models (in the [code](https://github.com/huggingface/text-generation-inference/blob/main/launcher/src/main.rs) or in the cli):
 ```
@@ -106,7 +106,7 @@ model=meta-llama/Llama-2-7b-chat-hf
 volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
 token=<your cli READ token>
 
-docker run --gpus all --shm-size 1g -e HUGGING_FACE_HUB_TOKEN=$token -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3 --model-id $model
+docker run --gpus all --shm-size 1g -e HUGGING_FACE_HUB_TOKEN=$token -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.4 --model-id $model
 ```
 
 ### A note on Shared Memory (shm)
diff --git a/docs/openapi.json b/docs/openapi.json
index 9a9ed116..da3969df 100644
--- a/docs/openapi.json
+++ b/docs/openapi.json
@@ -1 +1,1293 @@
-{"openapi":"3.0.3","info":{"title":"Text Generation Inference","description":"Text Generation Webserver","contact":{"name":"Olivier Dehaene"},"license":{"name":"Apache 2.0","url":"https://www.apache.org/licenses/LICENSE-2.0"},"version":"1.3.4"},"paths":{"/":{"post":{"tags":["Text Generation Inference"],"summary":"Generate tokens if `stream == false` or a stream of token if `stream == true`","description":"Generate tokens if `stream == false` or a stream of token if `stream == true`","operationId":"compat_generate","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/CompatGenerateRequest"}}},"required":true},"responses":{"200":{"description":"Generated Text","content":{"application/json":{"schema":{"$ref":"#/components/schemas/GenerateResponse"}},"text/event-stream":{"schema":{"$ref":"#/components/schemas/StreamResponse"}}}},"422":{"description":"Input validation error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Input validation error"}}}},"424":{"description":"Generation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Request failed during generation"}}}},"429":{"description":"Model is overloaded","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Model is overloaded"}}}},"500":{"description":"Incomplete generation","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Incomplete generation"}}}}}}},"/generate":{"post":{"tags":["Text Generation Inference"],"summary":"Generate tokens","description":"Generate tokens","operationId":"generate","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GenerateRequest"}}},"required":true},"responses":{"200":{"description":"Generated Text","content":{"application/json":{"schema":{"$ref":"#/components/schemas/GenerateResponse"}}}},"422":{"description":"Input validation error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Input validation error"}}}},"424":{"description":"Generation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Request failed during generation"}}}},"429":{"description":"Model is overloaded","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Model is overloaded"}}}},"500":{"description":"Incomplete generation","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Incomplete generation"}}}}}}},"/generate_stream":{"post":{"tags":["Text Generation Inference"],"summary":"Generate a stream of token using Server-Sent Events","description":"Generate a stream of token using Server-Sent Events","operationId":"generate_stream","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GenerateRequest"}}},"required":true},"responses":{"200":{"description":"Generated Text","content":{"text/event-stream":{"schema":{"$ref":"#/components/schemas/StreamResponse"}}}},"422":{"description":"Input validation error","content":{"text/event-stream":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Input validation error"}}}},"424":{"description":"Generation Error","content":{"text/event-stream":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Request failed during generation"}}}},"429":{"description":"Model is overloaded","content":{"text/event-stream":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Model is overloaded"}}}},"500":{"description":"Incomplete generation","content":{"text/event-stream":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Incomplete generation"}}}}}}},"/health":{"get":{"tags":["Text Generation Inference"],"summary":"Health check method","description":"Health check method","operationId":"health","responses":{"200":{"description":"Everything is working fine"},"503":{"description":"Text generation inference is down","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"unhealthy","error_type":"healthcheck"}}}}}}},"/info":{"get":{"tags":["Text Generation Inference"],"summary":"Text Generation Inference endpoint info","description":"Text Generation Inference endpoint info","operationId":"get_model_info","responses":{"200":{"description":"Served model info","content":{"application/json":{"schema":{"$ref":"#/components/schemas/Info"}}}}}}},"/metrics":{"get":{"tags":["Text Generation Inference"],"summary":"Prometheus metrics scrape endpoint","description":"Prometheus metrics scrape endpoint","operationId":"metrics","responses":{"200":{"description":"Prometheus Metrics","content":{"text/plain":{"schema":{"type":"string"}}}}}}},"/tokenize":{"post":{"tags":["Text Generation Inference"],"summary":"Tokenize inputs","description":"Tokenize inputs","operationId":"tokenize","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/GenerateRequest"}}},"required":true},"responses":{"200":{"description":"Tokenized ids","content":{"application/json":{"schema":{"$ref":"#/components/schemas/TokenizeResponse"}}}},"404":{"description":"No tokenizer found","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"No fast tokenizer available"}}}}}}},"/v1/chat/completions":{"post":{"tags":["Text Generation Inference"],"summary":"Generate tokens","description":"Generate tokens","operationId":"chat_completions","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ChatRequest"}}},"required":true},"responses":{"200":{"description":"Generated Text","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ChatCompletionChunk"}}}},"422":{"description":"Input validation error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Input validation error"}}}},"424":{"description":"Generation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Request failed during generation"}}}},"429":{"description":"Model is overloaded","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Model is overloaded"}}}},"500":{"description":"Incomplete generation","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"},"example":{"error":"Incomplete generation"}}}}}}}},"components":{"schemas":{"BestOfSequence":{"type":"object","required":["generated_text","finish_reason","generated_tokens","prefill","tokens"],"properties":{"finish_reason":{"$ref":"#/components/schemas/FinishReason"},"generated_text":{"type":"string","example":"test"},"generated_tokens":{"type":"integer","format":"int32","example":1,"minimum":0},"prefill":{"type":"array","items":{"$ref":"#/components/schemas/PrefillToken"}},"seed":{"type":"integer","format":"int64","example":42,"nullable":true,"minimum":0},"tokens":{"type":"array","items":{"$ref":"#/components/schemas/Token"}},"top_tokens":{"type":"array","items":{"type":"array","items":{"$ref":"#/components/schemas/Token"}}}}},"ChatCompletion":{"type":"object","required":["id","object","created","model","system_fingerprint","choices","usage"],"properties":{"choices":{"type":"array","items":{"$ref":"#/components/schemas/ChatCompletionComplete"}},"created":{"type":"integer","format":"int64","example":"1706270835","minimum":0},"id":{"type":"string"},"model":{"type":"string","example":"mistralai/Mistral-7B-Instruct-v0.2"},"object":{"type":"string"},"system_fingerprint":{"type":"string"},"usage":{"$ref":"#/components/schemas/Usage"}}},"ChatCompletionChoice":{"type":"object","required":["index","delta"],"properties":{"delta":{"$ref":"#/components/schemas/ChatCompletionDelta"},"finish_reason":{"type":"string","nullable":true},"index":{"type":"integer","format":"int32","minimum":0},"logprobs":{"type":"number","format":"float","nullable":true}}},"ChatCompletionChunk":{"type":"object","required":["id","object","created","model","system_fingerprint","choices"],"properties":{"choices":{"type":"array","items":{"$ref":"#/components/schemas/ChatCompletionChoice"}},"created":{"type":"integer","format":"int64","example":"1706270978","minimum":0},"id":{"type":"string"},"model":{"type":"string","example":"mistralai/Mistral-7B-Instruct-v0.2"},"object":{"type":"string"},"system_fingerprint":{"type":"string"}}},"ChatCompletionDelta":{"type":"object","required":["role","content"],"properties":{"content":{"type":"string","example":"What is Deep Learning?"},"role":{"type":"string","example":"user"}}},"ChatRequest":{"type":"object","required":["model"],"properties":{"frequency_penalty":{"type":"number","format":"float","description":"Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far,\ndecreasing the model's likelihood to repeat the same line verbatim.","example":"1.0","nullable":true},"logit_bias":{"type":"array","items":{"type":"number","format":"float"},"description":"UNUSED\nModify the likelihood of specified tokens appearing in the completion. Accepts a JSON object that maps tokens\n(specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically,\nthe bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model,\nbut values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should\nresult in a ban or exclusive selection of the relevant token.","nullable":true},"logprobs":{"type":"boolean","description":"Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each\noutput token returned in the content of message.","example":"false","nullable":true},"max_tokens":{"type":"integer","format":"int32","description":"The maximum number of tokens that can be generated in the chat completion.","example":"32","nullable":true,"minimum":0},"messages":{"type":"array","items":{"$ref":"#/components/schemas/Message"},"description":"A list of messages comprising the conversation so far."},"model":{"type":"string","description":"UNUSED\nID of the model to use. See the model endpoint compatibility table for details on which models work with the Chat API.","example":"mistralai/Mistral-7B-Instruct-v0.2"},"n":{"type":"integer","format":"int32","description":"UNUSED\nHow many chat completion choices to generate for each input message. Note that you will be charged based on the\nnumber of generated tokens across all of the choices. Keep n as 1 to minimize costs.","example":"2","nullable":true,"minimum":0},"presence_penalty":{"type":"number","format":"float","description":"UNUSED\nNumber between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far,\nincreasing the model's likelihood to talk about new topics","example":0.1,"nullable":true},"seed":{"type":"integer","format":"int64","example":42,"nullable":true,"minimum":0},"stream":{"type":"boolean"},"temperature":{"type":"number","format":"float","description":"What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while\nlower values like 0.2 will make it more focused and deterministic.\n\nWe generally recommend altering this or `top_p` but not both.","example":1.0,"nullable":true},"top_logprobs":{"type":"integer","format":"int32","description":"UNUSED\nAn integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with\nan associated log probability. logprobs must be set to true if this parameter is used.","example":"5","nullable":true,"minimum":0},"top_p":{"type":"number","format":"float","description":"An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the\ntokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.","example":0.95,"nullable":true}}},"CompatGenerateRequest":{"type":"object","required":["inputs"],"properties":{"inputs":{"type":"string","example":"My name is Olivier and I"},"parameters":{"$ref":"#/components/schemas/GenerateParameters"},"stream":{"type":"boolean","default":"false"}}},"Details":{"type":"object","required":["finish_reason","generated_tokens","prefill","tokens"],"properties":{"best_of_sequences":{"type":"array","items":{"$ref":"#/components/schemas/BestOfSequence"},"nullable":true},"finish_reason":{"$ref":"#/components/schemas/FinishReason"},"generated_tokens":{"type":"integer","format":"int32","example":1,"minimum":0},"prefill":{"type":"array","items":{"$ref":"#/components/schemas/PrefillToken"}},"seed":{"type":"integer","format":"int64","example":42,"nullable":true,"minimum":0},"tokens":{"type":"array","items":{"$ref":"#/components/schemas/Token"}},"top_tokens":{"type":"array","items":{"type":"array","items":{"$ref":"#/components/schemas/Token"}}}}},"ErrorResponse":{"type":"object","required":["error","error_type"],"properties":{"error":{"type":"string"},"error_type":{"type":"string"}}},"FinishReason":{"type":"string","enum":["length","eos_token","stop_sequence"],"example":"Length"},"GenerateParameters":{"type":"object","properties":{"best_of":{"type":"integer","default":"null","example":1,"nullable":true,"minimum":0,"exclusiveMinimum":0},"decoder_input_details":{"type":"boolean","default":"true"},"details":{"type":"boolean","default":"true"},"do_sample":{"type":"boolean","default":"false","example":true},"max_new_tokens":{"type":"integer","format":"int32","default":"100","example":"20","nullable":true,"minimum":0},"repetition_penalty":{"type":"number","format":"float","default":"null","example":1.03,"nullable":true,"exclusiveMinimum":0},"return_full_text":{"type":"boolean","default":"null","example":false,"nullable":true},"seed":{"type":"integer","format":"int64","default":"null","example":"null","nullable":true,"minimum":0,"exclusiveMinimum":0},"stop":{"type":"array","items":{"type":"string"},"example":["photographer"],"maxItems":4},"temperature":{"type":"number","format":"float","default":"null","example":0.5,"nullable":true,"exclusiveMinimum":0},"top_k":{"type":"integer","format":"int32","default":"null","example":10,"nullable":true,"exclusiveMinimum":0},"top_n_tokens":{"type":"integer","format":"int32","default":"null","example":5,"nullable":true,"minimum":0,"exclusiveMinimum":0},"top_p":{"type":"number","format":"float","default":"null","example":0.95,"nullable":true,"maximum":1,"exclusiveMinimum":0},"truncate":{"type":"integer","default":"null","example":"null","nullable":true,"minimum":0},"typical_p":{"type":"number","format":"float","default":"null","example":0.95,"nullable":true,"maximum":1,"exclusiveMinimum":0},"watermark":{"type":"boolean","default":"false","example":true}}},"GenerateRequest":{"type":"object","required":["inputs"],"properties":{"inputs":{"type":"string","example":"My name is Olivier and I"},"parameters":{"$ref":"#/components/schemas/GenerateParameters"}}},"GenerateResponse":{"type":"object","required":["generated_text"],"properties":{"details":{"allOf":[{"$ref":"#/components/schemas/Details"}],"nullable":true},"generated_text":{"type":"string","example":"test"}}},"Info":{"type":"object","required":["model_id","model_dtype","model_device_type","max_concurrent_requests","max_best_of","max_stop_sequences","max_input_length","max_total_tokens","waiting_served_ratio","max_batch_total_tokens","max_waiting_tokens","validation_workers","version"],"properties":{"docker_label":{"type":"string","example":"null","nullable":true},"max_batch_total_tokens":{"type":"integer","format":"int32","example":"32000","minimum":0},"max_best_of":{"type":"integer","example":"2","minimum":0},"max_concurrent_requests":{"type":"integer","description":"Router Parameters","example":"128","minimum":0},"max_input_length":{"type":"integer","example":"1024","minimum":0},"max_stop_sequences":{"type":"integer","example":"4","minimum":0},"max_total_tokens":{"type":"integer","example":"2048","minimum":0},"max_waiting_tokens":{"type":"integer","example":"20","minimum":0},"model_device_type":{"type":"string","example":"cuda"},"model_dtype":{"type":"string","example":"torch.float16"},"model_id":{"type":"string","description":"Model info","example":"bigscience/blomm-560m"},"model_pipeline_tag":{"type":"string","example":"text-generation","nullable":true},"model_sha":{"type":"string","example":"e985a63cdc139290c5f700ff1929f0b5942cced2","nullable":true},"sha":{"type":"string","example":"null","nullable":true},"validation_workers":{"type":"integer","example":"2","minimum":0},"version":{"type":"string","description":"Router Info","example":"0.5.0"},"waiting_served_ratio":{"type":"number","format":"float","example":"1.2"}}},"Message":{"type":"object","required":["role","content"],"properties":{"content":{"type":"string","example":"My name is David and I"},"role":{"type":"string","example":"user"}}},"PrefillToken":{"type":"object","required":["id","text","logprob"],"properties":{"id":{"type":"integer","format":"int32","example":0,"minimum":0},"logprob":{"type":"number","format":"float","example":-0.34,"nullable":true},"text":{"type":"string","example":"test"}}},"SimpleToken":{"type":"object","required":["id","text","start","stop"],"properties":{"id":{"type":"integer","format":"int32","example":0,"minimum":0},"start":{"type":"integer","example":0,"minimum":0},"stop":{"type":"integer","example":2,"minimum":0},"text":{"type":"string","example":"test"}}},"StreamDetails":{"type":"object","required":["finish_reason","generated_tokens"],"properties":{"finish_reason":{"$ref":"#/components/schemas/FinishReason"},"generated_tokens":{"type":"integer","format":"int32","example":1,"minimum":0},"seed":{"type":"integer","format":"int64","example":42,"nullable":true,"minimum":0}}},"StreamResponse":{"type":"object","required":["index","token"],"properties":{"details":{"allOf":[{"$ref":"#/components/schemas/StreamDetails"}],"default":"null","nullable":true},"generated_text":{"type":"string","default":"null","example":"test","nullable":true},"index":{"type":"integer","format":"int32","minimum":0},"token":{"$ref":"#/components/schemas/Token"},"top_tokens":{"type":"array","items":{"$ref":"#/components/schemas/Token"}}}},"Token":{"type":"object","required":["id","text","logprob","special"],"properties":{"id":{"type":"integer","format":"int32","example":0,"minimum":0},"logprob":{"type":"number","format":"float","example":-0.34,"nullable":true},"special":{"type":"boolean","example":"false"},"text":{"type":"string","example":"test"}}},"TokenizeResponse":{"type":"array","items":{"$ref":"#/components/schemas/SimpleToken"}}}},"tags":[{"name":"Text Generation Inference","description":"Hugging Face Text Generation Inference API"}]}
\ No newline at end of file
+{
+  "openapi": "3.0.3",
+  "info": {
+    "title": "Text Generation Inference",
+    "description": "Text Generation Webserver",
+    "contact": {
+      "name": "Olivier Dehaene"
+    },
+    "license": {
+      "name": "Apache 2.0",
+      "url": "https://www.apache.org/licenses/LICENSE-2.0"
+    },
+    "version": "1.4.0"
+  },
+  "paths": {
+    "/": {
+      "post": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Generate tokens if `stream == false` or a stream of token if `stream == true`",
+        "description": "Generate tokens if `stream == false` or a stream of token if `stream == true`",
+        "operationId": "compat_generate",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/CompatGenerateRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Generated Text",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/GenerateResponse"
+                }
+              },
+              "text/event-stream": {
+                "schema": {
+                  "$ref": "#/components/schemas/StreamResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Input validation error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Input validation error"
+                }
+              }
+            }
+          },
+          "424": {
+            "description": "Generation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Request failed during generation"
+                }
+              }
+            }
+          },
+          "429": {
+            "description": "Model is overloaded",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Model is overloaded"
+                }
+              }
+            }
+          },
+          "500": {
+            "description": "Incomplete generation",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Incomplete generation"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/generate": {
+      "post": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Generate tokens",
+        "description": "Generate tokens",
+        "operationId": "generate",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/GenerateRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Generated Text",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/GenerateResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Input validation error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Input validation error"
+                }
+              }
+            }
+          },
+          "424": {
+            "description": "Generation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Request failed during generation"
+                }
+              }
+            }
+          },
+          "429": {
+            "description": "Model is overloaded",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Model is overloaded"
+                }
+              }
+            }
+          },
+          "500": {
+            "description": "Incomplete generation",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Incomplete generation"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/generate_stream": {
+      "post": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Generate a stream of token using Server-Sent Events",
+        "description": "Generate a stream of token using Server-Sent Events",
+        "operationId": "generate_stream",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/GenerateRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Generated Text",
+            "content": {
+              "text/event-stream": {
+                "schema": {
+                  "$ref": "#/components/schemas/StreamResponse"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Input validation error",
+            "content": {
+              "text/event-stream": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Input validation error"
+                }
+              }
+            }
+          },
+          "424": {
+            "description": "Generation Error",
+            "content": {
+              "text/event-stream": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Request failed during generation"
+                }
+              }
+            }
+          },
+          "429": {
+            "description": "Model is overloaded",
+            "content": {
+              "text/event-stream": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Model is overloaded"
+                }
+              }
+            }
+          },
+          "500": {
+            "description": "Incomplete generation",
+            "content": {
+              "text/event-stream": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Incomplete generation"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/health": {
+      "get": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Health check method",
+        "description": "Health check method",
+        "operationId": "health",
+        "responses": {
+          "200": {
+            "description": "Everything is working fine"
+          },
+          "503": {
+            "description": "Text generation inference is down",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "unhealthy",
+                  "error_type": "healthcheck"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/info": {
+      "get": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Text Generation Inference endpoint info",
+        "description": "Text Generation Inference endpoint info",
+        "operationId": "get_model_info",
+        "responses": {
+          "200": {
+            "description": "Served model info",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/Info"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/metrics": {
+      "get": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Prometheus metrics scrape endpoint",
+        "description": "Prometheus metrics scrape endpoint",
+        "operationId": "metrics",
+        "responses": {
+          "200": {
+            "description": "Prometheus Metrics",
+            "content": {
+              "text/plain": {
+                "schema": {
+                  "type": "string"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/tokenize": {
+      "post": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Tokenize inputs",
+        "description": "Tokenize inputs",
+        "operationId": "tokenize",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/GenerateRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Tokenized ids",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/TokenizeResponse"
+                }
+              }
+            }
+          },
+          "404": {
+            "description": "No tokenizer found",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "No fast tokenizer available"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    "/v1/chat/completions": {
+      "post": {
+        "tags": [
+          "Text Generation Inference"
+        ],
+        "summary": "Generate tokens",
+        "description": "Generate tokens",
+        "operationId": "chat_completions",
+        "requestBody": {
+          "content": {
+            "application/json": {
+              "schema": {
+                "$ref": "#/components/schemas/ChatRequest"
+              }
+            }
+          },
+          "required": true
+        },
+        "responses": {
+          "200": {
+            "description": "Generated Text",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ChatCompletionChunk"
+                }
+              }
+            }
+          },
+          "422": {
+            "description": "Input validation error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Input validation error"
+                }
+              }
+            }
+          },
+          "424": {
+            "description": "Generation Error",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Request failed during generation"
+                }
+              }
+            }
+          },
+          "429": {
+            "description": "Model is overloaded",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Model is overloaded"
+                }
+              }
+            }
+          },
+          "500": {
+            "description": "Incomplete generation",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                },
+                "example": {
+                  "error": "Incomplete generation"
+                }
+              }
+            }
+          }
+        }
+      }
+    }
+  },
+  "components": {
+    "schemas": {
+      "BestOfSequence": {
+        "type": "object",
+        "required": [
+          "generated_text",
+          "finish_reason",
+          "generated_tokens",
+          "prefill",
+          "tokens"
+        ],
+        "properties": {
+          "finish_reason": {
+            "$ref": "#/components/schemas/FinishReason"
+          },
+          "generated_text": {
+            "type": "string",
+            "example": "test"
+          },
+          "generated_tokens": {
+            "type": "integer",
+            "format": "int32",
+            "example": 1,
+            "minimum": 0
+          },
+          "prefill": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PrefillToken"
+            }
+          },
+          "seed": {
+            "type": "integer",
+            "format": "int64",
+            "example": 42,
+            "nullable": true,
+            "minimum": 0
+          },
+          "tokens": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Token"
+            }
+          },
+          "top_tokens": {
+            "type": "array",
+            "items": {
+              "type": "array",
+              "items": {
+                "$ref": "#/components/schemas/Token"
+              }
+            }
+          }
+        }
+      },
+      "ChatCompletion": {
+        "type": "object",
+        "required": [
+          "id",
+          "object",
+          "created",
+          "model",
+          "system_fingerprint",
+          "choices",
+          "usage"
+        ],
+        "properties": {
+          "choices": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ChatCompletionComplete"
+            }
+          },
+          "created": {
+            "type": "integer",
+            "format": "int64",
+            "example": "1706270835",
+            "minimum": 0
+          },
+          "id": {
+            "type": "string"
+          },
+          "model": {
+            "type": "string",
+            "example": "mistralai/Mistral-7B-Instruct-v0.2"
+          },
+          "object": {
+            "type": "string"
+          },
+          "system_fingerprint": {
+            "type": "string"
+          },
+          "usage": {
+            "$ref": "#/components/schemas/Usage"
+          }
+        }
+      },
+      "ChatCompletionChoice": {
+        "type": "object",
+        "required": [
+          "index",
+          "delta"
+        ],
+        "properties": {
+          "delta": {
+            "$ref": "#/components/schemas/ChatCompletionDelta"
+          },
+          "finish_reason": {
+            "type": "string",
+            "nullable": true
+          },
+          "index": {
+            "type": "integer",
+            "format": "int32",
+            "minimum": 0
+          },
+          "logprobs": {
+            "type": "number",
+            "format": "float",
+            "nullable": true
+          }
+        }
+      },
+      "ChatCompletionChunk": {
+        "type": "object",
+        "required": [
+          "id",
+          "object",
+          "created",
+          "model",
+          "system_fingerprint",
+          "choices"
+        ],
+        "properties": {
+          "choices": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/ChatCompletionChoice"
+            }
+          },
+          "created": {
+            "type": "integer",
+            "format": "int64",
+            "example": "1706270978",
+            "minimum": 0
+          },
+          "id": {
+            "type": "string"
+          },
+          "model": {
+            "type": "string",
+            "example": "mistralai/Mistral-7B-Instruct-v0.2"
+          },
+          "object": {
+            "type": "string"
+          },
+          "system_fingerprint": {
+            "type": "string"
+          }
+        }
+      },
+      "ChatCompletionDelta": {
+        "type": "object",
+        "required": [
+          "role",
+          "content"
+        ],
+        "properties": {
+          "content": {
+            "type": "string",
+            "example": "What is Deep Learning?"
+          },
+          "role": {
+            "type": "string",
+            "example": "user"
+          }
+        }
+      },
+      "ChatRequest": {
+        "type": "object",
+        "required": [
+          "model"
+        ],
+        "properties": {
+          "frequency_penalty": {
+            "type": "number",
+            "format": "float",
+            "description": "Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far,\ndecreasing the model's likelihood to repeat the same line verbatim.",
+            "example": "1.0",
+            "nullable": true
+          },
+          "logit_bias": {
+            "type": "array",
+            "items": {
+              "type": "number",
+              "format": "float"
+            },
+            "description": "UNUSED\nModify the likelihood of specified tokens appearing in the completion. Accepts a JSON object that maps tokens\n(specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically,\nthe bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model,\nbut values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should\nresult in a ban or exclusive selection of the relevant token.",
+            "nullable": true
+          },
+          "logprobs": {
+            "type": "boolean",
+            "description": "Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each\noutput token returned in the content of message.",
+            "example": "false",
+            "nullable": true
+          },
+          "max_tokens": {
+            "type": "integer",
+            "format": "int32",
+            "description": "The maximum number of tokens that can be generated in the chat completion.",
+            "example": "32",
+            "nullable": true,
+            "minimum": 0
+          },
+          "messages": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Message"
+            },
+            "description": "A list of messages comprising the conversation so far."
+          },
+          "model": {
+            "type": "string",
+            "description": "UNUSED\nID of the model to use. See the model endpoint compatibility table for details on which models work with the Chat API.",
+            "example": "mistralai/Mistral-7B-Instruct-v0.2"
+          },
+          "n": {
+            "type": "integer",
+            "format": "int32",
+            "description": "UNUSED\nHow many chat completion choices to generate for each input message. Note that you will be charged based on the\nnumber of generated tokens across all of the choices. Keep n as 1 to minimize costs.",
+            "example": "2",
+            "nullable": true,
+            "minimum": 0
+          },
+          "presence_penalty": {
+            "type": "number",
+            "format": "float",
+            "description": "UNUSED\nNumber between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far,\nincreasing the model's likelihood to talk about new topics",
+            "example": 0.1,
+            "nullable": true
+          },
+          "seed": {
+            "type": "integer",
+            "format": "int64",
+            "example": 42,
+            "nullable": true,
+            "minimum": 0
+          },
+          "stream": {
+            "type": "boolean"
+          },
+          "temperature": {
+            "type": "number",
+            "format": "float",
+            "description": "What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while\nlower values like 0.2 will make it more focused and deterministic.\n\nWe generally recommend altering this or `top_p` but not both.",
+            "example": 1.0,
+            "nullable": true
+          },
+          "top_logprobs": {
+            "type": "integer",
+            "format": "int32",
+            "description": "UNUSED\nAn integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with\nan associated log probability. logprobs must be set to true if this parameter is used.",
+            "example": "5",
+            "nullable": true,
+            "minimum": 0
+          },
+          "top_p": {
+            "type": "number",
+            "format": "float",
+            "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the\ntokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.",
+            "example": 0.95,
+            "nullable": true
+          }
+        }
+      },
+      "CompatGenerateRequest": {
+        "type": "object",
+        "required": [
+          "inputs"
+        ],
+        "properties": {
+          "inputs": {
+            "type": "string",
+            "example": "My name is Olivier and I"
+          },
+          "parameters": {
+            "$ref": "#/components/schemas/GenerateParameters"
+          },
+          "stream": {
+            "type": "boolean",
+            "default": "false"
+          }
+        }
+      },
+      "Details": {
+        "type": "object",
+        "required": [
+          "finish_reason",
+          "generated_tokens",
+          "prefill",
+          "tokens"
+        ],
+        "properties": {
+          "best_of_sequences": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/BestOfSequence"
+            },
+            "nullable": true
+          },
+          "finish_reason": {
+            "$ref": "#/components/schemas/FinishReason"
+          },
+          "generated_tokens": {
+            "type": "integer",
+            "format": "int32",
+            "example": 1,
+            "minimum": 0
+          },
+          "prefill": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/PrefillToken"
+            }
+          },
+          "seed": {
+            "type": "integer",
+            "format": "int64",
+            "example": 42,
+            "nullable": true,
+            "minimum": 0
+          },
+          "tokens": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Token"
+            }
+          },
+          "top_tokens": {
+            "type": "array",
+            "items": {
+              "type": "array",
+              "items": {
+                "$ref": "#/components/schemas/Token"
+              }
+            }
+          }
+        }
+      },
+      "ErrorResponse": {
+        "type": "object",
+        "required": [
+          "error",
+          "error_type"
+        ],
+        "properties": {
+          "error": {
+            "type": "string"
+          },
+          "error_type": {
+            "type": "string"
+          }
+        }
+      },
+      "FinishReason": {
+        "type": "string",
+        "enum": [
+          "length",
+          "eos_token",
+          "stop_sequence"
+        ],
+        "example": "Length"
+      },
+      "GenerateParameters": {
+        "type": "object",
+        "properties": {
+          "best_of": {
+            "type": "integer",
+            "default": "null",
+            "example": 1,
+            "nullable": true,
+            "minimum": 0,
+            "exclusiveMinimum": 0
+          },
+          "decoder_input_details": {
+            "type": "boolean",
+            "default": "true"
+          },
+          "details": {
+            "type": "boolean",
+            "default": "true"
+          },
+          "do_sample": {
+            "type": "boolean",
+            "default": "false",
+            "example": true
+          },
+          "max_new_tokens": {
+            "type": "integer",
+            "format": "int32",
+            "default": "100",
+            "example": "20",
+            "nullable": true,
+            "minimum": 0
+          },
+          "repetition_penalty": {
+            "type": "number",
+            "format": "float",
+            "default": "null",
+            "example": 1.03,
+            "nullable": true,
+            "exclusiveMinimum": 0
+          },
+          "return_full_text": {
+            "type": "boolean",
+            "default": "null",
+            "example": false,
+            "nullable": true
+          },
+          "seed": {
+            "type": "integer",
+            "format": "int64",
+            "default": "null",
+            "example": "null",
+            "nullable": true,
+            "minimum": 0,
+            "exclusiveMinimum": 0
+          },
+          "stop": {
+            "type": "array",
+            "items": {
+              "type": "string"
+            },
+            "example": [
+              "photographer"
+            ],
+            "maxItems": 4
+          },
+          "temperature": {
+            "type": "number",
+            "format": "float",
+            "default": "null",
+            "example": 0.5,
+            "nullable": true,
+            "exclusiveMinimum": 0
+          },
+          "top_k": {
+            "type": "integer",
+            "format": "int32",
+            "default": "null",
+            "example": 10,
+            "nullable": true,
+            "exclusiveMinimum": 0
+          },
+          "top_n_tokens": {
+            "type": "integer",
+            "format": "int32",
+            "default": "null",
+            "example": 5,
+            "nullable": true,
+            "minimum": 0,
+            "exclusiveMinimum": 0
+          },
+          "top_p": {
+            "type": "number",
+            "format": "float",
+            "default": "null",
+            "example": 0.95,
+            "nullable": true,
+            "maximum": 1,
+            "exclusiveMinimum": 0
+          },
+          "truncate": {
+            "type": "integer",
+            "default": "null",
+            "example": "null",
+            "nullable": true,
+            "minimum": 0
+          },
+          "typical_p": {
+            "type": "number",
+            "format": "float",
+            "default": "null",
+            "example": 0.95,
+            "nullable": true,
+            "maximum": 1,
+            "exclusiveMinimum": 0
+          },
+          "watermark": {
+            "type": "boolean",
+            "default": "false",
+            "example": true
+          }
+        }
+      },
+      "GenerateRequest": {
+        "type": "object",
+        "required": [
+          "inputs"
+        ],
+        "properties": {
+          "inputs": {
+            "type": "string",
+            "example": "My name is Olivier and I"
+          },
+          "parameters": {
+            "$ref": "#/components/schemas/GenerateParameters"
+          }
+        }
+      },
+      "GenerateResponse": {
+        "type": "object",
+        "required": [
+          "generated_text"
+        ],
+        "properties": {
+          "details": {
+            "allOf": [
+              {
+                "$ref": "#/components/schemas/Details"
+              }
+            ],
+            "nullable": true
+          },
+          "generated_text": {
+            "type": "string",
+            "example": "test"
+          }
+        }
+      },
+      "Info": {
+        "type": "object",
+        "required": [
+          "model_id",
+          "model_dtype",
+          "model_device_type",
+          "max_concurrent_requests",
+          "max_best_of",
+          "max_stop_sequences",
+          "max_input_length",
+          "max_total_tokens",
+          "waiting_served_ratio",
+          "max_batch_total_tokens",
+          "max_waiting_tokens",
+          "validation_workers",
+          "version"
+        ],
+        "properties": {
+          "docker_label": {
+            "type": "string",
+            "example": "null",
+            "nullable": true
+          },
+          "max_batch_total_tokens": {
+            "type": "integer",
+            "format": "int32",
+            "example": "32000",
+            "minimum": 0
+          },
+          "max_best_of": {
+            "type": "integer",
+            "example": "2",
+            "minimum": 0
+          },
+          "max_concurrent_requests": {
+            "type": "integer",
+            "description": "Router Parameters",
+            "example": "128",
+            "minimum": 0
+          },
+          "max_input_length": {
+            "type": "integer",
+            "example": "1024",
+            "minimum": 0
+          },
+          "max_stop_sequences": {
+            "type": "integer",
+            "example": "4",
+            "minimum": 0
+          },
+          "max_total_tokens": {
+            "type": "integer",
+            "example": "2048",
+            "minimum": 0
+          },
+          "max_waiting_tokens": {
+            "type": "integer",
+            "example": "20",
+            "minimum": 0
+          },
+          "model_device_type": {
+            "type": "string",
+            "example": "cuda"
+          },
+          "model_dtype": {
+            "type": "string",
+            "example": "torch.float16"
+          },
+          "model_id": {
+            "type": "string",
+            "description": "Model info",
+            "example": "bigscience/blomm-560m"
+          },
+          "model_pipeline_tag": {
+            "type": "string",
+            "example": "text-generation",
+            "nullable": true
+          },
+          "model_sha": {
+            "type": "string",
+            "example": "e985a63cdc139290c5f700ff1929f0b5942cced2",
+            "nullable": true
+          },
+          "sha": {
+            "type": "string",
+            "example": "null",
+            "nullable": true
+          },
+          "validation_workers": {
+            "type": "integer",
+            "example": "2",
+            "minimum": 0
+          },
+          "version": {
+            "type": "string",
+            "description": "Router Info",
+            "example": "0.5.0"
+          },
+          "waiting_served_ratio": {
+            "type": "number",
+            "format": "float",
+            "example": "1.2"
+          }
+        }
+      },
+      "Message": {
+        "type": "object",
+        "required": [
+          "role",
+          "content"
+        ],
+        "properties": {
+          "content": {
+            "type": "string",
+            "example": "My name is David and I"
+          },
+          "role": {
+            "type": "string",
+            "example": "user"
+          }
+        }
+      },
+      "PrefillToken": {
+        "type": "object",
+        "required": [
+          "id",
+          "text",
+          "logprob"
+        ],
+        "properties": {
+          "id": {
+            "type": "integer",
+            "format": "int32",
+            "example": 0,
+            "minimum": 0
+          },
+          "logprob": {
+            "type": "number",
+            "format": "float",
+            "example": -0.34,
+            "nullable": true
+          },
+          "text": {
+            "type": "string",
+            "example": "test"
+          }
+        }
+      },
+      "SimpleToken": {
+        "type": "object",
+        "required": [
+          "id",
+          "text",
+          "start",
+          "stop"
+        ],
+        "properties": {
+          "id": {
+            "type": "integer",
+            "format": "int32",
+            "example": 0,
+            "minimum": 0
+          },
+          "start": {
+            "type": "integer",
+            "example": 0,
+            "minimum": 0
+          },
+          "stop": {
+            "type": "integer",
+            "example": 2,
+            "minimum": 0
+          },
+          "text": {
+            "type": "string",
+            "example": "test"
+          }
+        }
+      },
+      "StreamDetails": {
+        "type": "object",
+        "required": [
+          "finish_reason",
+          "generated_tokens"
+        ],
+        "properties": {
+          "finish_reason": {
+            "$ref": "#/components/schemas/FinishReason"
+          },
+          "generated_tokens": {
+            "type": "integer",
+            "format": "int32",
+            "example": 1,
+            "minimum": 0
+          },
+          "seed": {
+            "type": "integer",
+            "format": "int64",
+            "example": 42,
+            "nullable": true,
+            "minimum": 0
+          }
+        }
+      },
+      "StreamResponse": {
+        "type": "object",
+        "required": [
+          "index",
+          "token"
+        ],
+        "properties": {
+          "details": {
+            "allOf": [
+              {
+                "$ref": "#/components/schemas/StreamDetails"
+              }
+            ],
+            "default": "null",
+            "nullable": true
+          },
+          "generated_text": {
+            "type": "string",
+            "default": "null",
+            "example": "test",
+            "nullable": true
+          },
+          "index": {
+            "type": "integer",
+            "format": "int32",
+            "minimum": 0
+          },
+          "token": {
+            "$ref": "#/components/schemas/Token"
+          },
+          "top_tokens": {
+            "type": "array",
+            "items": {
+              "$ref": "#/components/schemas/Token"
+            }
+          }
+        }
+      },
+      "Token": {
+        "type": "object",
+        "required": [
+          "id",
+          "text",
+          "logprob",
+          "special"
+        ],
+        "properties": {
+          "id": {
+            "type": "integer",
+            "format": "int32",
+            "example": 0,
+            "minimum": 0
+          },
+          "logprob": {
+            "type": "number",
+            "format": "float",
+            "example": -0.34,
+            "nullable": true
+          },
+          "special": {
+            "type": "boolean",
+            "example": "false"
+          },
+          "text": {
+            "type": "string",
+            "example": "test"
+          }
+        }
+      },
+      "TokenizeResponse": {
+        "type": "array",
+        "items": {
+          "$ref": "#/components/schemas/SimpleToken"
+        }
+      }
+    }
+  },
+  "tags": [
+    {
+      "name": "Text Generation Inference",
+      "description": "Hugging Face Text Generation Inference API"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/docs/source/basic_tutorials/gated_model_access.md b/docs/source/basic_tutorials/gated_model_access.md
index 1437717f..060d177d 100644
--- a/docs/source/basic_tutorials/gated_model_access.md
+++ b/docs/source/basic_tutorials/gated_model_access.md
@@ -19,6 +19,6 @@ docker run --gpus all \
     --shm-size 1g \
     -e HUGGING_FACE_HUB_TOKEN=$token \
     -p 8080:80 \
-    -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3 \
+    -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.4 \
     --model-id $model
 ```
diff --git a/docs/source/quicktour.md b/docs/source/quicktour.md
index e9a33f04..78ebb8e2 100644
--- a/docs/source/quicktour.md
+++ b/docs/source/quicktour.md
@@ -8,7 +8,7 @@ Let's say you want to deploy [Falcon-7B Instruct](https://huggingface.co/tiiuae/
 model=tiiuae/falcon-7b-instruct
 volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
 
-docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3 --model-id $model
+docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.4 --model-id $model
 ```
 
 <Tip warning={true}>
@@ -20,7 +20,7 @@ To use NVIDIA GPUs, you need to install the [NVIDIA Container Toolkit](https://d
 TGI also supports ROCm-enabled AMD GPUs (only MI210 and MI250 are tested), details are available in the [Supported Hardware section](./supported_models#supported-hardware) and [AMD documentation](https://rocm.docs.amd.com/en/latest/deploy/docker.html). To launch TGI on ROCm GPUs, please use instead:
 
 ```bash
-docker run --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --device=/dev/kfd --device=/dev/dri --group-add video --ipc=host --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.3-rocm --model-id $model
+docker run --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --device=/dev/kfd --device=/dev/dri --group-add video --ipc=host --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.4-rocm --model-id $model
 ```
 
 Once TGI is running, you can use the `generate` endpoint by doing requests. To learn more about how to query the endpoints, check the [Consuming TGI](./basic_tutorials/consuming_tgi) section, where we show examples with utility libraries and UIs. Below you can see a simple snippet to query the endpoint.
@@ -91,7 +91,7 @@ curl 127.0.0.1:8080/generate \
 To see all possible deploy flags and options, you can use the `--help` flag. It's possible to configure the number of shards, quantization, generation parameters, and more.
 
 ```bash
-docker run ghcr.io/huggingface/text-generation-inference:1.3 --help
+docker run ghcr.io/huggingface/text-generation-inference:1.4 --help
 ```
 
 </Tip>
diff --git a/integration-tests/models/test_flash_phi.py b/integration-tests/models/test_flash_phi.py
index 6391f2a1..0987b3a1 100644
--- a/integration-tests/models/test_flash_phi.py
+++ b/integration-tests/models/test_flash_phi.py
@@ -21,7 +21,7 @@ async def test_flash_phi(flash_phi, response_snapshot):
     )
 
     assert response.details.generated_tokens == 10
-    assert response.generated_text == ": {request}\")\n        response = self"
+    assert response.generated_text == ': {request}")\n        response = self'
     assert response == response_snapshot
 
 
@@ -52,14 +52,12 @@ async def test_flash_phi_all_params(flash_phi, response_snapshot):
 @pytest.mark.asyncio
 @pytest.mark.private
 async def test_flash_phi_load(flash_phi, generate_load, response_snapshot):
-    responses = await generate_load(
-        flash_phi, "Test request", max_new_tokens=10, n=4
-    )
+    responses = await generate_load(flash_phi, "Test request", max_new_tokens=10, n=4)
 
     assert len(responses) == 4
     assert all(
         [r.generated_text == responses[0].generated_text for r in responses]
     ), f"{[r.generated_text  for r in responses]}"
-    assert responses[0].generated_text == ": {request}\")\n        response = self"
+    assert responses[0].generated_text == ': {request}")\n        response = self'
 
     assert responses == response_snapshot
diff --git a/integration-tests/pyproject.toml b/integration-tests/pyproject.toml
index f6929587..f0c5add9 100644
--- a/integration-tests/pyproject.toml
+++ b/integration-tests/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "text-generation-integration-tests"
-version = "1.3.4"
+version = "1.4.0"
 description = "Text Generation Inference integration tests"
 authors = ["Nicolas Patry <nicolas@huggingface.co>"]
 
diff --git a/server/poetry.lock b/server/poetry.lock
index 3326d0aa..64b1b74f 100644
--- a/server/poetry.lock
+++ b/server/poetry.lock
@@ -153,21 +153,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
-    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "backoff"
@@ -328,20 +329,21 @@ files = [
 
 [[package]]
 name = "datasets"
-version = "2.15.0"
+version = "2.16.1"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = true
 python-versions = ">=3.8.0"
 files = [
-    {file = "datasets-2.15.0-py3-none-any.whl", hash = "sha256:6d658d23811393dfc982d026082e1650bdaaae28f6a86e651966cb072229a228"},
-    {file = "datasets-2.15.0.tar.gz", hash = "sha256:a26d059370bd7503bd60e9337977199a13117a83f72fb61eda7e66f0c4d50b2b"},
+    {file = "datasets-2.16.1-py3-none-any.whl", hash = "sha256:fafa300c78ff92d521473a3d47d60c2d3e0d6046212cc03ceb6caf6550737257"},
+    {file = "datasets-2.16.1.tar.gz", hash = "sha256:ad3215e9b1984d1de4fda2123bc7319ccbdf1e17d0c3d5590d13debff308a080"},
 ]
 
 [package.dependencies]
 aiohttp = "*"
 dill = ">=0.3.0,<0.3.8"
+filelock = "*"
 fsspec = {version = ">=2023.1.0,<=2023.10.0", extras = ["http"]}
-huggingface-hub = ">=0.18.0"
+huggingface-hub = ">=0.19.4"
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
@@ -357,15 +359,15 @@ xxhash = "*"
 apache-beam = ["apache-beam (>=2.26.0,<2.44.0)"]
 audio = ["librosa", "soundfile (>=0.12.1)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.1.5)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
 docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
 metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
-quality = ["black (>=23.1,<24.0)", "pyyaml (>=5.3.1)", "ruff (>=0.0.241)"]
+quality = ["ruff (>=0.1.5)"]
 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=6.2.1)"]
 
@@ -767,34 +769,94 @@ setuptools = "*"
 
 [[package]]
 name = "hf-transfer"
-version = "0.1.4"
+version = "0.1.5"
 description = ""
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "hf_transfer-0.1.4-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:6ff5fbde30a5bed35ef8f0d4ba78bde9f6d60a233dbff78a0e4035d6e6f71e4c"},
-    {file = "hf_transfer-0.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1c5c20f76e7f3451cff476b85c55dcb8566ebc94a596cb9eb39c0bb75db8675"},
-    {file = "hf_transfer-0.1.4-cp310-none-win_amd64.whl", hash = "sha256:84c3ce20c68863a7d998711b98726ba9ae8f2e3fc0d685bc2c9ac9833c0f4048"},
-    {file = "hf_transfer-0.1.4-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:dab1cf4e2e6fcb963fe0e48e6b5e3a95cf65ee376c7b6618a05dbb2ef0dde183"},
-    {file = "hf_transfer-0.1.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63c9c7aef90facf45391c86131ed00e74333637735cfec52da4f5170004d0b3f"},
-    {file = "hf_transfer-0.1.4-cp311-none-win_amd64.whl", hash = "sha256:eca1fe6ae145e88455d0a174248080498cea52ad45cee50702070b47dffa421f"},
-    {file = "hf_transfer-0.1.4-cp312-cp312-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:d07c0d26b5c01ad50d22ddcff7d30c4e8cbb823565b7f61e0ddb35f7faeae415"},
-    {file = "hf_transfer-0.1.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9b9cf169c3c64883b07f7ded5e3f14ae1d437eb77448738b88c923fc5597c47"},
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 [[package]]
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 [package.dependencies]
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 [[package]]
 name = "pyarrow-hotfix"
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 [[package]]
@@ -2042,45 +2131,45 @@ torch = ["numpy (>=1.21.6)", "torch (>=1.10)"]
 
 [[package]]
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 [package.dependencies]
@@ -2389,13 +2490,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.36.1"
+version = "4.37.1"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -2412,16 +2513,16 @@ tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.21.0)"]
-agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.10,!=1.12.0)"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
+agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.11,!=1.12.0)"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
 deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.19)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -2429,7 +2530,7 @@ ftfy = ["ftfy"]
 integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
 ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
 modelcreation = ["cookiecutter (==1.7.3)"]
-natten = ["natten (>=0.14.6)"]
+natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
@@ -2448,10 +2549,10 @@ tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
 tokenizers = ["tokenizers (>=0.14,<0.19)"]
-torch = ["accelerate (>=0.21.0)", "torch (>=1.10,!=1.12.0)"]
+torch = ["accelerate (>=0.21.0)", "torch (>=1.11,!=1.12.0)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -2513,13 +2614,13 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2023.3"
+version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
-    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+    {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
+    {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
 ]
 
 [[package]]
@@ -2861,4 +2962,4 @@ torch = ["torch"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "d314f7dc9ea4d4e7581552f340d9171f24f709bf98de8b8c01c449c23026e7a3"
+content-hash = "33d533d21d14c258678a8c4bb28e2a15e8ebe5ca35d8589cbfe4a7b7d2e79a90"
diff --git a/server/pyproject.toml b/server/pyproject.toml
index d1452678..72a7afb0 100644
--- a/server/pyproject.toml
+++ b/server/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "text-generation-server"
-version = "1.3.4"
+version = "1.4.0"
 description = "Text Generation Inference Python gRPC Server"
 authors = ["Olivier Dehaene <olivier@huggingface.co>"]
 
diff --git a/server/requirements_cuda.txt b/server/requirements_cuda.txt
index 694242e1..e9267512 100644
--- a/server/requirements_cuda.txt
+++ b/server/requirements_cuda.txt
@@ -13,11 +13,11 @@ grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-reflection==1.60.0 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-status==1.60.0 ; python_version >= "3.9" and python_version < "3.13"
 grpcio==1.60.0 ; python_version >= "3.9" and python_version < "3.13"
-hf-transfer==0.1.4 ; python_version >= "3.9" and python_version < "3.13"
+hf-transfer==0.1.5 ; python_version >= "3.9" and python_version < "3.13"
 huggingface-hub==0.19.4 ; python_version >= "3.9" and python_version < "3.13"
 idna==3.6 ; python_version >= "3.9" and python_version < "3.13"
 loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13"
-numpy==1.26.2 ; python_version >= "3.9" and python_version < "3.13"
+numpy==1.26.3 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-exporter-otlp-proto-grpc==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-exporter-otlp-proto-http==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
@@ -28,18 +28,18 @@ opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "3.13
 opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
 packaging==23.2 ; python_version >= "3.9" and python_version < "3.13"
-pillow==10.1.0 ; python_version >= "3.9" and python_version < "3.13"
-protobuf==4.25.1 ; python_version >= "3.9" and python_version < "3.13"
+pillow==10.2.0 ; python_version >= "3.9" and python_version < "3.13"
+protobuf==4.25.2 ; python_version >= "3.9" and python_version < "3.13"
 pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "3.13"
-regex==2023.10.3 ; python_version >= "3.9" and python_version < "3.13"
+regex==2023.12.25 ; python_version >= "3.9" and python_version < "3.13"
 requests==2.31.0 ; python_version >= "3.9" and python_version < "3.13"
 safetensors==0.3.3 ; python_version >= "3.9" and python_version < "3.13"
-scipy==1.11.4 ; python_version >= "3.9" and python_version < "3.13"
+scipy==1.12.0 ; python_version >= "3.9" and python_version < "3.13"
 sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "3.13"
-setuptools==69.0.2 ; python_version >= "3.9" and python_version < "3.13"
-tokenizers==0.15.0 ; python_version >= "3.9" and python_version < "3.13"
+setuptools==69.0.3 ; python_version >= "3.9" and python_version < "3.13"
+tokenizers==0.15.1 ; python_version >= "3.9" and python_version < "3.13"
 tqdm==4.66.1 ; python_version >= "3.9" and python_version < "3.13"
-transformers==4.36.1 ; python_version >= "3.9" and python_version < "3.13"
+transformers==4.37.1 ; python_version >= "3.9" and python_version < "3.13"
 typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
 typing-extensions==4.9.0 ; python_version >= "3.9" and python_version < "3.13"
 urllib3==2.1.0 ; python_version >= "3.9" and python_version < "3.13"
diff --git a/server/requirements_rocm.txt b/server/requirements_rocm.txt
index e0495fde..053429c9 100644
--- a/server/requirements_rocm.txt
+++ b/server/requirements_rocm.txt
@@ -12,11 +12,11 @@ grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-reflection==1.60.0 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-status==1.60.0 ; python_version >= "3.9" and python_version < "3.13"
 grpcio==1.60.0 ; python_version >= "3.9" and python_version < "3.13"
-hf-transfer==0.1.4 ; python_version >= "3.9" and python_version < "3.13"
+hf-transfer==0.1.5 ; python_version >= "3.9" and python_version < "3.13"
 huggingface-hub==0.19.4 ; python_version >= "3.9" and python_version < "3.13"
 idna==3.6 ; python_version >= "3.9" and python_version < "3.13"
 loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13"
-numpy==1.26.2 ; python_version >= "3.9" and python_version < "3.13"
+numpy==1.26.3 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-exporter-otlp-proto-grpc==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-exporter-otlp-proto-http==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
@@ -27,18 +27,18 @@ opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "3.13
 opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
 opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
 packaging==23.2 ; python_version >= "3.9" and python_version < "3.13"
-pillow==10.1.0 ; python_version >= "3.9" and python_version < "3.13"
-protobuf==4.25.1 ; python_version >= "3.9" and python_version < "3.13"
+pillow==10.2.0 ; python_version >= "3.9" and python_version < "3.13"
+protobuf==4.25.2 ; python_version >= "3.9" and python_version < "3.13"
 pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "3.13"
-regex==2023.10.3 ; python_version >= "3.9" and python_version < "3.13"
+regex==2023.12.25 ; python_version >= "3.9" and python_version < "3.13"
 requests==2.31.0 ; python_version >= "3.9" and python_version < "3.13"
 safetensors==0.3.3 ; python_version >= "3.9" and python_version < "3.13"
-scipy==1.11.4 ; python_version >= "3.9" and python_version < "3.13"
+scipy==1.12.0 ; python_version >= "3.9" and python_version < "3.13"
 sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "3.13"
-setuptools==69.0.2 ; python_version >= "3.9" and python_version < "3.13"
-tokenizers==0.15.0 ; python_version >= "3.9" and python_version < "3.13"
+setuptools==69.0.3 ; python_version >= "3.9" and python_version < "3.13"
+tokenizers==0.15.1 ; python_version >= "3.9" and python_version < "3.13"
 tqdm==4.66.1 ; python_version >= "3.9" and python_version < "3.13"
-transformers==4.36.1 ; python_version >= "3.9" and python_version < "3.13"
+transformers==4.37.1 ; python_version >= "3.9" and python_version < "3.13"
 typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
 typing-extensions==4.9.0 ; python_version >= "3.9" and python_version < "3.13"
 urllib3==2.1.0 ; python_version >= "3.9" and python_version < "3.13"
diff --git a/server/tests/utils/test_layers.py b/server/tests/utils/test_layers.py
index 0a9fecd1..93a0e982 100644
--- a/server/tests/utils/test_layers.py
+++ b/server/tests/utils/test_layers.py
@@ -3,24 +3,27 @@ from text_generation_server.utils.layers import (
     TensorParallelEmbedding,
 )
 
+
 class ProcessGroup:
     def __init__(self, rank: int, world_size: int):
         self._rank = rank
         self.world_size = world_size
 
-    def size(self)->int:
+    def size(self) -> int:
         return self.world_size
 
-    def rank(self)->int:
+    def rank(self) -> int:
         return self._rank
 
+
 class Weights:
     def __init__(self, rank: int, world_size: int, vocab_size: int, hidden_dim: int):
-        self.weight = torch.arange(vocab_size*hidden_dim).float().view(vocab_size, hidden_dim)
+        self.weight = (
+            torch.arange(vocab_size * hidden_dim).float().view(vocab_size, hidden_dim)
+        )
         self.process_group = ProcessGroup(rank, world_size)
 
-
-    def get_partial_sharded(self, name:str, dim: int):
+    def get_partial_sharded(self, name: str, dim: int):
         assert dim == 0
 
         rank = self.process_group.rank()
@@ -35,10 +38,11 @@ class Weights:
     def get_shape(self, name: str):
         return self.weight.shape
 
+
 def test_weight_hub_files_offline_error():
 
-    vocab_size= 17
-    weights = Weights(rank=0, world_size=1, vocab_size = vocab_size,hidden_dim = 256)
+    vocab_size = 17
+    weights = Weights(rank=0, world_size=1, vocab_size=vocab_size, hidden_dim=256)
     embeddings = TensorParallelEmbedding("", weights)
 
     input_ids = torch.arange(vocab_size)
@@ -47,18 +51,27 @@ def test_weight_hub_files_offline_error():
     assert embeddings.max_id == 17
     torch.testing.assert_close(output, torch.arange(256 * 17).float().view(17, 256))
 
-    weights_0_2 = Weights(rank=0, world_size=2, vocab_size = vocab_size,hidden_dim = 256)
-    weights_1_2 = Weights(rank=1, world_size=2, vocab_size = vocab_size,hidden_dim = 256)
+    weights_0_2 = Weights(rank=0, world_size=2, vocab_size=vocab_size, hidden_dim=256)
+    weights_1_2 = Weights(rank=1, world_size=2, vocab_size=vocab_size, hidden_dim=256)
     embeddings_0_2 = TensorParallelEmbedding("", weights_0_2, reduce=False)
     assert embeddings_0_2.min_id == 0
     assert embeddings_0_2.max_id == 9
-    torch.testing.assert_close(embeddings_0_2.weight , torch.cat([torch.arange(9 * 256), torch.zeros(256)], dim=0).view(10, 256).float())
+    torch.testing.assert_close(
+        embeddings_0_2.weight,
+        torch.cat([torch.arange(9 * 256), torch.zeros(256)], dim=0)
+        .view(10, 256)
+        .float(),
+    )
     embeddings_1_2 = TensorParallelEmbedding("", weights_1_2, reduce=False)
     assert embeddings_1_2.min_id == 9
     assert embeddings_1_2.max_id == 17
-    torch.testing.assert_close(embeddings_1_2.weight , torch.cat([torch.arange(8 * 256) + 9 * 256, torch.zeros(256)], dim=0).view(9, 256).float())
+    torch.testing.assert_close(
+        embeddings_1_2.weight,
+        torch.cat([torch.arange(8 * 256) + 9 * 256, torch.zeros(256)], dim=0)
+        .view(9, 256)
+        .float(),
+    )
     output_tp_0 = embeddings_0_2.forward(input_ids)
     output_tp_1 = embeddings_1_2.forward(input_ids)
 
     torch.testing.assert_close(output, output_tp_0 + output_tp_1)
-
diff --git a/server/text_generation_server/cli.py b/server/text_generation_server/cli.py
index 99be6c7e..b74fbe36 100644
--- a/server/text_generation_server/cli.py
+++ b/server/text_generation_server/cli.py
@@ -226,7 +226,7 @@ def download_weights(
                 pass
         except (utils.LocalEntryNotFoundError, utils.EntryNotFoundError):
             pass
-            
+
     elif (Path(model_id) / "adapter_config.json").exists():
         # Try to load as a local PEFT model
         try:
diff --git a/server/text_generation_server/models/__init__.py b/server/text_generation_server/models/__init__.py
index 679e1e2f..68096709 100644
--- a/server/text_generation_server/models/__init__.py
+++ b/server/text_generation_server/models/__init__.py
@@ -230,7 +230,7 @@ def get_model(
                 dtype=dtype,
                 trust_remote_code=trust_remote_code,
             )
-        
+
     elif model_type == "phi":
         if FLASH_ATTENTION:
             return FlashPhi(
@@ -252,7 +252,9 @@ def get_model(
 
     elif model_type == "phi-msft":
         if FLASH_ATTENTION:
-            raise NotImplementedError("Legacy phi-msft is not supported with Flash Attention")
+            raise NotImplementedError(
+                "Legacy phi-msft is not supported with Flash Attention"
+            )
         else:
             return Phi(
                 model_id,
diff --git a/server/text_generation_server/models/custom_modeling/flash_phi_modeling.py b/server/text_generation_server/models/custom_modeling/flash_phi_modeling.py
index d103973f..96701794 100644
--- a/server/text_generation_server/models/custom_modeling/flash_phi_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_phi_modeling.py
@@ -17,6 +17,7 @@ from text_generation_server.utils.layers import (
     FastLayerNorm,
 )
 
+
 class PhiConfig(PretrainedConfig):
     def __init__(
         self,
@@ -25,15 +26,15 @@ class PhiConfig(PretrainedConfig):
         num_hidden_layers=32,
         num_attention_heads=32,
         num_key_value_heads=32,
-        hidden_act="gelu_fast",    # llama uses silu
-        layer_norm_eps=1e-05,      # rms in llama,
+        hidden_act="gelu_fast",  # llama uses silu
+        layer_norm_eps=1e-05,  # rms in llama,
         pad_token_id=0,
         bos_token_id=1,
         eos_token_id=2,
         tie_word_embeddings=False,
         rope_theta=10000.0,
-        resid_pdrop=0.1,           # llama doesn't have this
-        partial_rotary_factor=0.5, # important difference between llama and phi
+        resid_pdrop=0.1,  # llama doesn't have this
+        partial_rotary_factor=0.5,  # important difference between llama and phi
         **kwargs,
     ):
         self.vocab_size = vocab_size
@@ -55,6 +56,7 @@ class PhiConfig(PretrainedConfig):
             **kwargs,
         )
 
+
 # this is the same as llama except for Phi uses bias=True
 def load_attention(config, prefix, weights):
     if config.num_attention_heads != config.num_key_value_heads:
@@ -68,6 +70,7 @@ def load_attention(config, prefix, weights):
             bias=True,
         )
 
+
 def _load_gqa(config, prefix: str, weights):
     assert config.hidden_size % config.num_attention_heads == 0
     assert config.num_attention_heads % weights.process_group.size() == 0
@@ -94,6 +97,7 @@ def _load_gqa(config, prefix: str, weights):
         get_linear(weight, bias=True, quantize=config.quantize)
     )
 
+
 class FlashPhiAttention(torch.nn.Module):
     def __init__(
         self,
@@ -173,8 +177,7 @@ class FlashPhiAttention(torch.nn.Module):
         #
         # Apply partial positional embeddings in place
         self.rotary_emb(
-            query[:, :, :self.rotary_dim], kv[:, 0, :, :self.rotary_dim],
-            cos, sin
+            query[:, :, : self.rotary_dim], kv[:, 0, :, : self.rotary_dim], cos, sin
         )
 
         # Reshape key and value and cache
@@ -210,7 +213,8 @@ class FlashPhiAttention(torch.nn.Module):
                 max_s,
             )
 
-        return self.dense(attn_output.view(-1, self.num_heads*self.head_size))
+        return self.dense(attn_output.view(-1, self.num_heads * self.head_size))
+
 
 class PhiMLP(nn.Module):
     def __init__(self, prefix, config, weights):
@@ -256,7 +260,9 @@ class FlashPhiLayer(nn.Module):
         )
         self.mlp = PhiMLP(prefix=f"{prefix}.mlp", config=config, weights=weights)
         self.input_layernorm = FastLayerNorm.load(
-            prefix=f"{prefix}.input_layernorm", weights=weights, eps=config.layer_norm_eps
+            prefix=f"{prefix}.input_layernorm",
+            weights=weights,
+            eps=config.layer_norm_eps,
         )
         self.resid_dropout = torch.nn.Dropout(config.resid_pdrop)
 
@@ -287,10 +293,13 @@ class FlashPhiLayer(nn.Module):
             max_s,
         )
 
-        hidden_states = self.resid_dropout(attn_output).add(self.resid_dropout(self.mlp(hidden_states)))
+        hidden_states = self.resid_dropout(attn_output).add(
+            self.resid_dropout(self.mlp(hidden_states))
+        )
 
         return hidden_states, res
 
+
 class FlashPhiModel(torch.nn.Module):
     def __init__(self, config, weights):
         super().__init__()
@@ -361,6 +370,7 @@ class FlashPhiModel(torch.nn.Module):
 
         return hidden_states
 
+
 class FlashPhiForCausalLM(torch.nn.Module):
     def __init__(self, config, weights):
         super().__init__()
@@ -380,7 +390,7 @@ class FlashPhiForCausalLM(torch.nn.Module):
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
-        input_lengths: torch.Tensor, 
+        input_lengths: torch.Tensor,
         max_s: int,
         lm_head_indices: Optional[torch.Tensor] = None,
     ) -> torch.Tensor:
diff --git a/server/text_generation_server/models/custom_modeling/mpt_modeling.py b/server/text_generation_server/models/custom_modeling/mpt_modeling.py
index 1a9aef74..2c2fec48 100644
--- a/server/text_generation_server/models/custom_modeling/mpt_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/mpt_modeling.py
@@ -54,9 +54,19 @@ def load_col(config, prefix, weights, bias):
         bias_h = bias_h[0]
         bias_block_size = bias_h // bias_size
 
-        bias_q_part = bias_slice_[bias_rank * bias_block_size : (bias_rank + 1) * bias_block_size]
-        bias_k_part = bias_slice_[bias_h + bias_rank * bias_block_size : bias_h + (bias_rank + 1) * bias_block_size]
-        bias_v_part = bias_slice_[2 * bias_h + bias_rank * bias_block_size : 2 * bias_h + (bias_rank + 1) * bias_block_size]
+        bias_q_part = bias_slice_[
+            bias_rank * bias_block_size : (bias_rank + 1) * bias_block_size
+        ]
+        bias_k_part = bias_slice_[
+            bias_h
+            + bias_rank * bias_block_size : bias_h
+            + (bias_rank + 1) * bias_block_size
+        ]
+        bias_v_part = bias_slice_[
+            2 * bias_h
+            + bias_rank * bias_block_size : 2 * bias_h
+            + (bias_rank + 1) * bias_block_size
+        ]
 
         bias = torch.cat([bias_q_part, bias_k_part, bias_v_part], dim=0)
         if bias.dtype != torch.int32:
@@ -352,8 +362,12 @@ class MultiheadAttention(nn.Module):
             hidden_size = config.d_model
             head_dim = hidden_size // self.n_heads
 
-            self.q_ln = LPLayerNorm(d_model, bias=bias, prefix=f"{prefix}.q_ln", weights=weights)
-            self.k_ln = LPLayerNorm(self.n_heads * head_dim, prefix=f"{prefix}.k_ln", weights=weights)
+            self.q_ln = LPLayerNorm(
+                d_model, bias=bias, prefix=f"{prefix}.q_ln", weights=weights
+            )
+            self.k_ln = LPLayerNorm(
+                self.n_heads * head_dim, prefix=f"{prefix}.k_ln", weights=weights
+            )
         if self.attn_impl == "flash":
             self.attn_fn = flash_attn_fn
         elif self.attn_impl == "triton":
@@ -684,7 +698,6 @@ class LPLayerNorm(torch.nn.LayerNorm):
                 self.bias = nn.Parameter(weights.get_sharded(f"{prefix}.bias", dim=0))
             self.normalized_shape = self.weight.shape
 
-
     def forward(self, x):
         module_device = x.device
         downcast_x = _cast_if_autocast_enabled(x)
@@ -798,7 +811,7 @@ class MPTModel(MPTPreTrainedModel):
         self.wte = TensorParallelEmbedding("transformer.wte", weights)
 
         if not self.alibi:
-           self.wpe = TensorParallelEmbedding("transformer.wpe", weights)
+            self.wpe = TensorParallelEmbedding("transformer.wpe", weights)
         self.blocks = nn.ModuleList(
             [
                 MPTBlock(config, prefix=f"transformer.blocks.{i}", weights=weights)
diff --git a/server/text_generation_server/models/custom_modeling/phi_modeling.py b/server/text_generation_server/models/custom_modeling/phi_modeling.py
index f9999537..e5c09728 100644
--- a/server/text_generation_server/models/custom_modeling/phi_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/phi_modeling.py
@@ -62,14 +62,12 @@ class PhiConfig(PretrainedConfig):
             **kwargs,
         )
 
+
 # RotaryEmbedding is a class that implements the rotary embedding.
 class RotaryEmbedding(nn.Module):
     def __init__(self, dim, max_seq_len):
         super().__init__()
-        inv_freq = [
-            1.0 / 10000.0 ** (i / dim)
-            for i in range(0, dim, 2)
-        ]
+        inv_freq = [1.0 / 10000.0 ** (i / dim) for i in range(0, dim, 2)]
         inv_freq_len = len(inv_freq)
         inv_freq = torch.tensor(inv_freq).view(1, inv_freq_len)
         t = torch.arange(0, max_seq_len, dtype=torch.float).view(max_seq_len, 1)
@@ -131,6 +129,7 @@ class PhiCausalLMHead(nn.Module):
         hidden_states = self.linear(hidden_states)
         return hidden_states
 
+
 # PhiMHA is a multi-head attention layer. This layer uses an attention mask to prevent tokens from attending to subsequent tokens.
 class PhiMHA(nn.Module):
     def __init__(self, prefix, config, weights):
@@ -172,19 +171,27 @@ class PhiMHA(nn.Module):
             v = torch.cat([prev_v, v], dim=1)
 
         past_kv_cache = [k, v]
-        attn_weights = torch.einsum('bthd,bshd->bhts', q, k * self.softmax_scale)
+        attn_weights = torch.einsum("bthd,bshd->bhts", q, k * self.softmax_scale)
 
         if attention_mask is not None:
             seqlen_k = k.shape[1]
             seqlen_q = q.shape[1]
-            causal_mask = torch.triu(torch.full((seqlen_q, seqlen_k), -10000.0, device=attn_weights.device), 1)
+            causal_mask = torch.triu(
+                torch.full((seqlen_q, seqlen_k), -10000.0, device=attn_weights.device),
+                1,
+            )
             attn_weights = attn_weights + causal_mask.to(dtype=attn_weights.dtype)
-  
+
         attn_weights = torch.nn.functional.softmax(attn_weights, dim=-1)
         attn_output = attn_weights.matmul(v.transpose(1, 2)).squeeze(0)
-        attn_output = attn_output.view((b_size, self.num_heads, seq_len, self.head_dim)).transpose(1, 2).flatten(-2)
+        attn_output = (
+            attn_output.view((b_size, self.num_heads, seq_len, self.head_dim))
+            .transpose(1, 2)
+            .flatten(-2)
+        )
         return self.out_proj(attn_output), past_kv_cache
 
+
 # PhiMLP is a multi-layer perceptron. It contains two linear layers with a gelu activation function.
 class PhiMLP(nn.Module):
     def __init__(self, prefix, config, weights):
@@ -204,19 +211,22 @@ class PhiMLP(nn.Module):
             bias=False,
         )
         self.activation = torch.nn.functional.gelu
-            
+
     def forward(self, hidden_states):
         hidden_states = self.fc1(hidden_states)
         hidden_states = self.activation(hidden_states)
         hidden_states = self.fc2(hidden_states)
         return hidden_states
 
+
 # PhiBlock is a single transformer block. It contains a layer norm, a multi-head attention layer and an multi-layer perceptron.
 class PhiBlock(nn.Module):
     def __init__(self, layer_id, config, weights):
         super().__init__()
         self.layer_id = layer_id
-        self.layer_norm = nn.LayerNorm.load(prefix=f"{layer_id}.ln", weights=weights, eps=config.layer_norm_epsilon)
+        self.layer_norm = nn.LayerNorm.load(
+            prefix=f"{layer_id}.ln", weights=weights, eps=config.layer_norm_epsilon
+        )
         self.mixer = PhiMHA(prefix=f"{layer_id}.mixer", config=config, weights=weights)
         self.mlp = PhiMLP(prefix=f"{layer_id}.mlp", config=config, weights=weights)
 
@@ -228,11 +238,14 @@ class PhiBlock(nn.Module):
     ):
         residual = hidden_states
         hidden_states = self.layer_norm(hidden_states)
-        attn_outputs, past_kv_cache = self.mixer(hidden_states, kv_cache, attention_mask)
+        attn_outputs, past_kv_cache = self.mixer(
+            hidden_states, kv_cache, attention_mask
+        )
         feed_forward_hidden_states = self.mlp(hidden_states)
         out = attn_outputs + feed_forward_hidden_states + residual
         return out, past_kv_cache
 
+
 # PhiModel implements the embedding layer and the transformer blocks.
 class PhiModel(nn.Module):
     def __init__(self, config, weights):
@@ -241,9 +254,12 @@ class PhiModel(nn.Module):
         self.tp_world_size = weights.process_group.size()
         self.embed_tokens = TensorParallelEmbedding(
             prefix="transformer.embd.wte", weights=weights
-        )        
+        )
         self.blocks = nn.ModuleList(
-            [PhiBlock(f"transformer.h.{layer_id}", config, weights) for layer_id in range(config.n_layer)]
+            [
+                PhiBlock(f"transformer.h.{layer_id}", config, weights)
+                for layer_id in range(config.n_layer)
+            ]
         )
 
     def forward(
@@ -258,14 +274,19 @@ class PhiModel(nn.Module):
         seq_len = hidden_states.shape[1]
         mask = None if seq_len <= 1 else attention_mask
 
-        past_key_values = [None] * len(self.blocks) if past_key_values is None else past_key_values
+        past_key_values = (
+            [None] * len(self.blocks) if past_key_values is None else past_key_values
+        )
 
         for index, block in enumerate(self.blocks):
-            hidden_states, new_key_values = block(hidden_states, past_key_values[index], mask)
+            hidden_states, new_key_values = block(
+                hidden_states, past_key_values[index], mask
+            )
             past_key_values[index] = new_key_values
 
         return hidden_states, past_key_values
 
+
 # PhiForCausalLM wraps the PhiModel and PhiCausalLMHead together and returns a CausalLMOutputWithPast object.
 class PhiForCausalLM(torch.nn.Module):
     def __init__(self, config, weights):
@@ -290,12 +311,15 @@ class PhiForCausalLM(torch.nn.Module):
         loss = None
         if labels is not None:
             loss = nn.CrossEntropyLoss()(
-                logits[:, :-1].view(-1, logits.size(-1)),
-                labels[:, 1:].view(-1)
+                logits[:, :-1].view(-1, logits.size(-1)), labels[:, 1:].view(-1)
             )
 
         if not return_dict:
-            return ((loss,) + (logits,) + model_output[1:]) if loss is not None else (logits,) + model_output[1:]
+            return (
+                ((loss,) + (logits,) + model_output[1:])
+                if loss is not None
+                else (logits,) + model_output[1:]
+            )
 
         return CausalLMOutputWithPast(
             loss=loss,
@@ -304,5 +328,3 @@ class PhiForCausalLM(torch.nn.Module):
             hidden_states=None,
             attentions=None,
         )
-
-        
diff --git a/server/text_generation_server/models/flash_llama.py b/server/text_generation_server/models/flash_llama.py
index 7be61906..94bd58f4 100644
--- a/server/text_generation_server/models/flash_llama.py
+++ b/server/text_generation_server/models/flash_llama.py
@@ -73,11 +73,11 @@ class FlashLlama(FlashCausalLM):
             import json
             import os
             from pathlib import Path
-            
-            is_local_model = (Path(use_medusa).exists() and Path(use_medusa).is_dir()) or os.getenv(
-                "WEIGHTS_CACHE_OVERRIDE", None
-            ) is not None
-            
+
+            is_local_model = (
+                Path(use_medusa).exists() and Path(use_medusa).is_dir()
+            ) or os.getenv("WEIGHTS_CACHE_OVERRIDE", None) is not None
+
             if not is_local_model:
                 medusa_config = hf_hub_download(
                     use_medusa, revision=revision, filename="config.json"
@@ -88,7 +88,7 @@ class FlashLlama(FlashCausalLM):
             else:
                 medusa_config = str(Path(use_medusa) / "config.json")
                 medusa_head = str(Path(use_medusa) / "medusa_lm_head.pt")
-                
+
             with open(medusa_config, "r") as f:
                 config = json.load(f)
             medusa_sf = medusa_head[: -len(".pt")] + ".safetensors"
diff --git a/server/text_generation_server/models/flash_phi.py b/server/text_generation_server/models/flash_phi.py
index 1c49f2a9..061b9740 100644
--- a/server/text_generation_server/models/flash_phi.py
+++ b/server/text_generation_server/models/flash_phi.py
@@ -63,11 +63,11 @@ class FlashPhi(FlashCausalLM):
             import json
             import os
             from pathlib import Path
-            
-            is_local_model = (Path(use_medusa).exists() and Path(use_medusa).is_dir()) or os.getenv(
-                "WEIGHTS_CACHE_OVERRIDE", None
-            ) is not None
-            
+
+            is_local_model = (
+                Path(use_medusa).exists() and Path(use_medusa).is_dir()
+            ) or os.getenv("WEIGHTS_CACHE_OVERRIDE", None) is not None
+
             if not is_local_model:
                 medusa_config = hf_hub_download(
                     use_medusa, revision=revision, filename="config.json"
@@ -78,7 +78,7 @@ class FlashPhi(FlashCausalLM):
             else:
                 medusa_config = str(Path(use_medusa) / "config.json")
                 medusa_head = str(Path(use_medusa) / "medusa_lm_head.pt")
-                
+
             with open(medusa_config, "r") as f:
                 config = json.load(f)
             medusa_sf = medusa_head[: -len(".pt")] + ".safetensors"
diff --git a/server/text_generation_server/models/phi.py b/server/text_generation_server/models/phi.py
index d477478a..79aa3fb9 100644
--- a/server/text_generation_server/models/phi.py
+++ b/server/text_generation_server/models/phi.py
@@ -5,13 +5,17 @@ from transformers import AutoConfig, AutoTokenizer
 from typing import Optional, List, Tuple
 
 from text_generation_server.models import CausalLM
-from text_generation_server.models.custom_modeling.phi_modeling import PhiConfig, PhiForCausalLM
+from text_generation_server.models.custom_modeling.phi_modeling import (
+    PhiConfig,
+    PhiForCausalLM,
+)
 from text_generation_server.utils import (
     initialize_torch_distributed,
     weight_files,
     Weights,
 )
 
+
 class Phi(CausalLM):
     def __init__(
         self,
@@ -60,4 +64,3 @@ class Phi(CausalLM):
             dtype=dtype,
             device=device,
         )
-
diff --git a/server/text_generation_server/utils/layers.py b/server/text_generation_server/utils/layers.py
index 6ddfd6f4..010d6143 100644
--- a/server/text_generation_server/utils/layers.py
+++ b/server/text_generation_server/utils/layers.py
@@ -510,7 +510,9 @@ class TensorParallelEmbedding(nn.Module):
         block_size = (num_embeddings + world_size - 1) // world_size
         self.min_id = rank * block_size
         self.max_id = min(num_embeddings, (rank + 1) * block_size)
-        self.null_idx = weight.shape[0]  # Usually block_size, might be less in non even vocab_size.
+        self.null_idx = weight.shape[
+            0
+        ]  # Usually block_size, might be less in non even vocab_size.
         self.process_group = weights.process_group
         self.reduce = reduce