From 03c9388bf7c1f92ea59a0fcd6456242d562944a0 Mon Sep 17 00:00:00 2001
From: OlivierDehaene <olivier@huggingface.co>
Date: Wed, 23 Oct 2024 12:04:05 +0200
Subject: [PATCH] feat: natively support Granite models (#2682)

* feat: natively support Granite models

* Update doc
---
 docs/source/supported_models.md               |    1 +
 nix/impure-shell.nix                          |    2 +
 router/src/config.rs                          |    1 +
 server/poetry.lock                            | 1355 +++++++++--------
 server/requirements_cuda.txt                  |   12 +-
 server/requirements_intel.txt                 |   12 +-
 server/requirements_rocm.txt                  |   12 +-
 .../text_generation_server/models/__init__.py |   16 +-
 .../custom_modeling/flash_llama_modeling.py   |   39 +-
 9 files changed, 816 insertions(+), 634 deletions(-)

diff --git a/docs/source/supported_models.md b/docs/source/supported_models.md
index 28008bcd..ede1fc77 100644
--- a/docs/source/supported_models.md
+++ b/docs/source/supported_models.md
@@ -8,6 +8,7 @@ Text Generation Inference enables serving optimized models. The following sectio
 - [Llava Next (1.6)](https://huggingface.co/llava-hf/llava-v1.6-vicuna-13b-hf) (Multimodal)
 - [Llama](https://huggingface.co/collections/meta-llama/llama-31-669fc079a0c406a149a5738f)
 - [Phi 3](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)
+- [Granite](https://huggingface.co/ibm-granite/granite-3.0-8b-instruct)
 - [Gemma](https://huggingface.co/google/gemma-7b)
 - [PaliGemma](https://huggingface.co/google/paligemma-3b-pt-224)
 - [Gemma2](https://huggingface.co/collections/google/gemma-2-release-667d6600fd5220e7b967f315)
diff --git a/nix/impure-shell.nix b/nix/impure-shell.nix
index 9df4b111..92e14bc3 100644
--- a/nix/impure-shell.nix
+++ b/nix/impure-shell.nix
@@ -67,7 +67,9 @@ mkShell {
       [
         cuda_cccl
         cuda_cudart
+        cuda_nvrtc
         cuda_nvtx
+        cuda_profiler_api
         cudnn
         libcublas
         libcusolver
diff --git a/router/src/config.rs b/router/src/config.rs
index 1a20c40b..7139b923 100644
--- a/router/src/config.rs
+++ b/router/src/config.rs
@@ -150,6 +150,7 @@ pub enum Config {
     Idefics2(Idefics2),
     Ssm,
     GptBigcode,
+    Granite,
     Santacoder,
     Bloom,
     Mpt,
diff --git a/server/poetry.lock b/server/poetry.lock
index 08f74999..80fe72ba 100644
--- a/server/poetry.lock
+++ b/server/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
@@ -32,113 +32,113 @@ testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized",
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.0"
+version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = true
 python-versions = ">=3.8"
 files = [
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-    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.6"
+version = "3.10.10"
 description = "Async http client/server framework (asyncio)"
 optional = true
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -240,101 +240,116 @@ files = [
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
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 [[package]]
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 [[package]]
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-version = "3.0.0"
+version = "3.1.0"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
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 python-versions = ">=3.8"
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 python-versions = ">=3"
 files = [
-    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0eedf14185e04b76aa05b1fea04133e59f465b6f960c0cbf4e37c3cb6b0ea198"},
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+    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:a961b2f1d5f17b14867c619ceb99ef6fcec12e46612711bcec78eb05068a60ec"},
 ]
 
 [[package]]
 name = "nvidia-cuda-runtime-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "CUDA Runtime native Libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
-    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
+    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:961fe0e2e716a2a1d967aab7caee97512f71767f852f67432d572e36cb3a11f3"},
+    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5"},
+    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:09c2e35f48359752dfa822c09918211844a3d93c100a715d79b59591130c5e1e"},
 ]
 
 [[package]]
@@ -1656,35 +1685,41 @@ nvidia-cublas-cu12 = "*"
 
 [[package]]
 name = "nvidia-cufft-cu12"
-version = "11.0.2.54"
+version = "11.2.1.3"
 description = "CUFFT native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
-    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
+    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399"},
+    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9"},
+    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-win_amd64.whl", hash = "sha256:d802f4954291101186078ccbe22fc285a902136f974d369540fd4a5333d1440b"},
 ]
 
+[package.dependencies]
+nvidia-nvjitlink-cu12 = "*"
+
 [[package]]
 name = "nvidia-curand-cu12"
-version = "10.3.2.106"
+version = "10.3.5.147"
 description = "CURAND native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
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+    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1f173f09e3e3c76ab084aba0de819c49e56614feae5c12f69883f4ae9bb5fad9"},
+    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a88f583d4e0bb643c49743469964103aa59f7f708d862c3ddb0fc07f851e3b8b"},
+    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-win_amd64.whl", hash = "sha256:f307cc191f96efe9e8f05a87096abc20d08845a841889ef78cb06924437f6771"},
 ]
 
 [[package]]
 name = "nvidia-cusolver-cu12"
-version = "11.4.5.107"
+version = "11.6.1.9"
 description = "CUDA solver native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
-    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-win_amd64.whl", hash = "sha256:e77314c9d7b694fcebc84f58989f3aa4fb4cb442f12ca1a9bde50f5e8f6d1b9c"},
 ]
 
 [package.dependencies]
@@ -1694,13 +1729,14 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-cusparse-cu12"
-version = "12.1.0.106"
+version = "12.3.1.170"
 description = "CUSPARSE native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
-    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-win_amd64.whl", hash = "sha256:9bc90fb087bc7b4c15641521f31c0371e9a612fc2ba12c338d3ae032e6b6797f"},
 ]
 
 [package.dependencies]
@@ -1719,36 +1755,35 @@ files = [
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.20.5"
+version = "2.21.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
-    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
+    {file = "nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0"},
 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.6.68"
+version = "12.4.127"
 description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.6.68-py3-none-manylinux2014_aarch64.whl", hash = "sha256:b3fd0779845f68b92063ab1393abab1ed0a23412fc520df79a8190d098b5cd6b"},
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+    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"},
+    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"},
 ]
 
 [[package]]
 name = "nvidia-nvtx-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "NVIDIA Tools Extension"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
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+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7959ad635db13edf4fc65c06a6e9f9e55fc2f92596db928d169c0bb031e88ef3"},
+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:781e950d9b9f60d8241ccea575b32f5105a5baf4c2351cab5256a24869f12a1a"},
+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:641dccaaa1139f3ffb0d3164b4b84f9d253397e38246a4f2f36728b48566d485"},
 ]
 
 [[package]]
@@ -2200,6 +2235,113 @@ files = [
 [package.extras]
 twisted = ["twisted"]
 
+[[package]]
+name = "propcache"
+version = "0.2.0"
+description = "Accelerated property cache"
+optional = true
+python-versions = ">=3.8"
+files = [
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-test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+dev = ["black", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest-cov", "requests", "rstcheck", "ruff", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "wheel"]
+test = ["pytest", "pytest-xdist", "setuptools"]
 
 [[package]]
 name = "py-cpuinfo"
@@ -2696,18 +2839,19 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
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-version = "13.8.1"
+version = "13.9.3"
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 [package.extras]
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@@ -3062,13 +3206,13 @@ files = [
 
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-version = "75.1.0"
+version = "75.2.0"
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+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
 optional = true
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 [package.dependencies]
@@ -3238,42 +3382,39 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.0.2"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
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 ]
 
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 name = "torch"
-version = "2.4.1"
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 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = true
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -3281,25 +3422,26 @@ filelock = "*"
 fsspec = "*"
 jinja2 = "*"
 networkx = "*"
-nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cublas-cu12 = {version = "12.4.5.8", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-setuptools = "*"
-sympy = "*"
-triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
+nvidia-cufft-cu12 = {version = "11.2.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.5.147", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.6.1.9", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+setuptools = {version = "*", markers = "python_version >= \"3.12\""}
+sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
+triton = {version = "3.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.11.0)"]
+optree = ["optree (>=0.12.0)"]
 
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+    {file = "yarl-1.16.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:504e1fe1cc4f170195320eb033d2b0ccf5c6114ce5bf2f617535c01699479bca"},
+    {file = "yarl-1.16.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:bdcf667a5dec12a48f669e485d70c54189f0639c2157b538a4cffd24a853624f"},
+    {file = "yarl-1.16.0-cp39-cp39-win32.whl", hash = "sha256:e9951afe6557c75a71045148890052cb942689ee4c9ec29f5436240e1fcc73b7"},
+    {file = "yarl-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:7d7aaa8ff95d0840e289423e7dc35696c2b058d635f945bf05b5cd633146b027"},
+    {file = "yarl-1.16.0-py3-none-any.whl", hash = "sha256:e6980a558d8461230c457218bd6c92dfc1d10205548215c2c21d79dc8d0a96f3"},
+    {file = "yarl-1.16.0.tar.gz", hash = "sha256:b6f687ced5510a9a2474bbae96a4352e5ace5fa34dc44a217b0537fec1db00b4"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [[package]]
 name = "zipp"
@@ -3833,4 +3966,4 @@ torch = ["torch"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "be5965e4e13fed32347983dba1690661f3e59a50d59fa26d4f2a8345418dd5a1"
+content-hash = "500fa44255e4a6c89a16314a931548447afe1ba71ea341a73cad6670e46ddac7"
diff --git a/server/requirements_cuda.txt b/server/requirements_cuda.txt
index 5de75b6b..e3f6d20f 100644
--- a/server/requirements_cuda.txt
+++ b/server/requirements_cuda.txt
@@ -1,5 +1,5 @@
 certifi==2024.8.30 ; python_version >= "3.9" and python_version < "3.13"
-charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "3.13"
+charset-normalizer==3.4.0 ; python_version >= "3.9" and python_version < "3.13"
 click==8.1.7 ; python_version >= "3.9" and python_version < "3.13"
 colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows")
 deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13"
@@ -10,7 +10,7 @@ googleapis-common-protos==1.65.0 ; python_version >= "3.9" and python_version <
 grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-reflection==1.62.3 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-status==1.62.3 ; python_version >= "3.9" and python_version < "3.13"
-grpcio==1.66.1 ; python_version >= "3.9" and python_version < "3.13"
+grpcio==1.67.0 ; python_version >= "3.9" and python_version < "3.13"
 hf-transfer==0.1.8 ; python_version >= "3.9" and python_version < "3.13"
 huggingface-hub==0.23.5 ; python_version >= "3.9" and python_version < "3.13"
 idna==3.10 ; python_version >= "3.9" and python_version < "3.13"
@@ -38,14 +38,14 @@ pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
 pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
 regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
 requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
-rich==13.8.1 ; python_version >= "3.9" and python_version < "3.13"
+rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13"
 safetensors==0.4.5 ; python_version >= "3.9" and python_version < "3.13"
 scipy==1.13.1 ; python_version >= "3.9" and python_version < "3.13"
 sentencepiece==0.2.0 ; python_version >= "3.9" and python_version < "3.13"
-setuptools==75.1.0 ; python_version >= "3.9" and python_version < "3.13"
-tokenizers==0.20.0 ; python_version >= "3.9" and python_version < "3.13"
+setuptools==75.2.0 ; python_version >= "3.9" and python_version < "3.13"
+tokenizers==0.20.1 ; python_version >= "3.9" and python_version < "3.13"
 tqdm==4.66.5 ; python_version >= "3.9" and python_version < "3.13"
-transformers==4.45.0 ; python_version >= "3.9" and python_version < "3.13"
+transformers==4.45.2 ; python_version >= "3.9" and python_version < "3.13"
 typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
 typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.13"
 urllib3==2.2.3 ; python_version >= "3.9" and python_version < "3.13"
diff --git a/server/requirements_intel.txt b/server/requirements_intel.txt
index 5de75b6b..e3f6d20f 100644
--- a/server/requirements_intel.txt
+++ b/server/requirements_intel.txt
@@ -1,5 +1,5 @@
 certifi==2024.8.30 ; python_version >= "3.9" and python_version < "3.13"
-charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "3.13"
+charset-normalizer==3.4.0 ; python_version >= "3.9" and python_version < "3.13"
 click==8.1.7 ; python_version >= "3.9" and python_version < "3.13"
 colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows")
 deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13"
@@ -10,7 +10,7 @@ googleapis-common-protos==1.65.0 ; python_version >= "3.9" and python_version <
 grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-reflection==1.62.3 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-status==1.62.3 ; python_version >= "3.9" and python_version < "3.13"
-grpcio==1.66.1 ; python_version >= "3.9" and python_version < "3.13"
+grpcio==1.67.0 ; python_version >= "3.9" and python_version < "3.13"
 hf-transfer==0.1.8 ; python_version >= "3.9" and python_version < "3.13"
 huggingface-hub==0.23.5 ; python_version >= "3.9" and python_version < "3.13"
 idna==3.10 ; python_version >= "3.9" and python_version < "3.13"
@@ -38,14 +38,14 @@ pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
 pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
 regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
 requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
-rich==13.8.1 ; python_version >= "3.9" and python_version < "3.13"
+rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13"
 safetensors==0.4.5 ; python_version >= "3.9" and python_version < "3.13"
 scipy==1.13.1 ; python_version >= "3.9" and python_version < "3.13"
 sentencepiece==0.2.0 ; python_version >= "3.9" and python_version < "3.13"
-setuptools==75.1.0 ; python_version >= "3.9" and python_version < "3.13"
-tokenizers==0.20.0 ; python_version >= "3.9" and python_version < "3.13"
+setuptools==75.2.0 ; python_version >= "3.9" and python_version < "3.13"
+tokenizers==0.20.1 ; python_version >= "3.9" and python_version < "3.13"
 tqdm==4.66.5 ; python_version >= "3.9" and python_version < "3.13"
-transformers==4.45.0 ; python_version >= "3.9" and python_version < "3.13"
+transformers==4.45.2 ; python_version >= "3.9" and python_version < "3.13"
 typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
 typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.13"
 urllib3==2.2.3 ; python_version >= "3.9" and python_version < "3.13"
diff --git a/server/requirements_rocm.txt b/server/requirements_rocm.txt
index 5de75b6b..e3f6d20f 100644
--- a/server/requirements_rocm.txt
+++ b/server/requirements_rocm.txt
@@ -1,5 +1,5 @@
 certifi==2024.8.30 ; python_version >= "3.9" and python_version < "3.13"
-charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "3.13"
+charset-normalizer==3.4.0 ; python_version >= "3.9" and python_version < "3.13"
 click==8.1.7 ; python_version >= "3.9" and python_version < "3.13"
 colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows")
 deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13"
@@ -10,7 +10,7 @@ googleapis-common-protos==1.65.0 ; python_version >= "3.9" and python_version <
 grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-reflection==1.62.3 ; python_version >= "3.9" and python_version < "3.13"
 grpcio-status==1.62.3 ; python_version >= "3.9" and python_version < "3.13"
-grpcio==1.66.1 ; python_version >= "3.9" and python_version < "3.13"
+grpcio==1.67.0 ; python_version >= "3.9" and python_version < "3.13"
 hf-transfer==0.1.8 ; python_version >= "3.9" and python_version < "3.13"
 huggingface-hub==0.23.5 ; python_version >= "3.9" and python_version < "3.13"
 idna==3.10 ; python_version >= "3.9" and python_version < "3.13"
@@ -38,14 +38,14 @@ pygments==2.18.0 ; python_version >= "3.9" and python_version < "3.13"
 pyyaml==6.0.2 ; python_version >= "3.9" and python_version < "3.13"
 regex==2024.9.11 ; python_version >= "3.9" and python_version < "3.13"
 requests==2.32.3 ; python_version >= "3.9" and python_version < "3.13"
-rich==13.8.1 ; python_version >= "3.9" and python_version < "3.13"
+rich==13.9.3 ; python_version >= "3.9" and python_version < "3.13"
 safetensors==0.4.5 ; python_version >= "3.9" and python_version < "3.13"
 scipy==1.13.1 ; python_version >= "3.9" and python_version < "3.13"
 sentencepiece==0.2.0 ; python_version >= "3.9" and python_version < "3.13"
-setuptools==75.1.0 ; python_version >= "3.9" and python_version < "3.13"
-tokenizers==0.20.0 ; python_version >= "3.9" and python_version < "3.13"
+setuptools==75.2.0 ; python_version >= "3.9" and python_version < "3.13"
+tokenizers==0.20.1 ; python_version >= "3.9" and python_version < "3.13"
 tqdm==4.66.5 ; python_version >= "3.9" and python_version < "3.13"
-transformers==4.45.0 ; python_version >= "3.9" and python_version < "3.13"
+transformers==4.45.2 ; python_version >= "3.9" and python_version < "3.13"
 typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
 typing-extensions==4.12.2 ; python_version >= "3.9" and python_version < "3.13"
 urllib3==2.2.3 ; python_version >= "3.9" and python_version < "3.13"
diff --git a/server/text_generation_server/models/__init__.py b/server/text_generation_server/models/__init__.py
index 0860e9ee..d3015408 100644
--- a/server/text_generation_server/models/__init__.py
+++ b/server/text_generation_server/models/__init__.py
@@ -195,6 +195,11 @@ class ModelType(enum.Enum):
         "name": "Phi 3",
         "url": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct",
     }
+    GRANITE = {
+        "type": "granite",
+        "name": "Granite",
+        "url": "https://huggingface.co/ibm-granite/granite-3.0-8b-instruct",
+    }
     GEMMA = {
         "type": "gemma",
         "name": "Gemma",
@@ -862,7 +867,12 @@ def get_model(
                 trust_remote_code=trust_remote_code,
             )
 
-    elif model_type == LLAMA or model_type == BAICHUAN or model_type == PHI3:
+    elif (
+        model_type == LLAMA
+        or model_type == BAICHUAN
+        or model_type == PHI3
+        or model_type == GRANITE
+    ):
         if FLASH_ATTENTION:
             return FlashCausalLM(
                 model_id=model_id,
@@ -876,7 +886,9 @@ def get_model(
                 lora_adapter_ids=lora_adapter_ids,
             )
         elif sharded:
-            raise NotImplementedError(FLASH_ATT_ERROR_MESSAGE.format("Sharded Llama"))
+            raise NotImplementedError(
+                FLASH_ATT_ERROR_MESSAGE.format(f"Sharded {model_type}")
+            )
         else:
             return CausalLM.fallback(
                 model_id,
diff --git a/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py b/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
index 5c820bb6..e4ef3635 100644
--- a/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
@@ -156,7 +156,10 @@ class FlashLlamaAttention(torch.nn.Module):
             device=weights.device,
         )
 
-        self.softmax_scale = self.head_size**-0.5
+        # `config.attention_multiplier` is used in Granite
+        self.softmax_scale = getattr(
+            config, "attention_multiplier", self.head_size**-0.5
+        )
 
         if self.num_heads % weights.process_group.size() != 0:
             raise ValueError(
@@ -180,7 +183,7 @@ class FlashLlamaAttention(torch.nn.Module):
             config,
             prefix=f"{prefix}.o_proj",
             weights=weights,
-            bias=False,
+            bias=getattr(config, "attention_bias", False),
         )
 
         self.o_proj = TensorParallelAdapterRowLinear.load(
@@ -436,6 +439,11 @@ class FlashLlamaLayer(nn.Module):
                 eps=config.rms_norm_eps,
             )
 
+        # Used in Granite
+        # This could eventually be baked into the weights like we do for the embeddings/lm_head
+        # but this would mean modifying the lora code
+        self.residual_multiplier = getattr(config, "residual_multiplier", None)
+
     def forward(
         self,
         hidden_states,
@@ -466,13 +474,16 @@ class FlashLlamaLayer(nn.Module):
             max_s,
             adapter_data,
         )
+        if self.residual_multiplier is not None:
+            attn_output *= self.residual_multiplier
 
-        # faster post attention rms norm
         normed_attn_res_output, attn_res = self.post_attention_layernorm(
             attn_output, res
         )
 
         mlp_output = self.dense(normed_attn_res_output, adapter_data)
+        if self.residual_multiplier is not None:
+            mlp_output *= self.residual_multiplier
 
         return mlp_output, attn_res
 
@@ -624,6 +635,11 @@ class FlashLlamaForCausalLM(torch.nn.Module):
         else:
             suffix = "lm_head"
 
+        # Used in Granite
+        embedding_multiplier = getattr(config, "embedding_multiplier", None)
+        if embedding_multiplier is not None:
+            self.embed_tokens.weight.data *= embedding_multiplier
+
         with no_fp8(weights):
             self.lm_head = SpeculativeHead.load(
                 config,
@@ -631,6 +647,16 @@ class FlashLlamaForCausalLM(torch.nn.Module):
                 weights=weights,
             )
 
+        # Used in Granite
+        self.logits_scaling = getattr(config, "logits_scaling", None)
+        if self.logits_scaling is not None and self.lm_head.head is not None:
+            try:
+                # Scale the weights directly
+                self.lm_head.head.linear.weight.data /= self.logits_scaling
+                self.logits_scaled = True
+            except Exception:
+                self.logits_scaled = False
+
     def forward(
         self,
         input_ids: torch.Tensor,
@@ -664,4 +690,11 @@ class FlashLlamaForCausalLM(torch.nn.Module):
         if lm_head_indices is not None:
             hidden_states = hidden_states[lm_head_indices]
         logits, speculative_logits = self.lm_head(hidden_states)
+
+        # Used in Granite
+        if not self.logits_scaled:
+            logits /= self.logits_scaling
+            if speculative_logits is not None:
+                speculative_logits /= self.logits_scaling
+
         return logits, speculative_logits