diff --git a/server/Makefile-flash-att b/server/Makefile-flash-att
index 0e67a9e4..bc1d37ef 100644
--- a/server/Makefile-flash-att
+++ b/server/Makefile-flash-att
@@ -1,9 +1,9 @@
-flash_att_commit := 06ece1a1525ebcf4e183ac76b1e5108d2872f57f
+flash_att_commit := 3a9bfd076f98746c73362328958dbc68d145fbec
 
 flash-attention:
     # Clone flash attention
 	pip install packaging
-	git clone https://github.com/OlivierDehaene/flash-attention.git
+	git clone https://github.com/HazyResearch/flash-attention.git
 
 build-flash-attention: flash-attention
 	cd flash-attention && git fetch && git checkout $(flash_att_commit)
diff --git a/server/poetry.lock b/server/poetry.lock
index 7c126e80..7d00f223 100644
--- a/server/poetry.lock
+++ b/server/poetry.lock
@@ -1,15 +1,10 @@
-# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
-
 [[package]]
 name = "accelerate"
 version = "0.19.0"
 description = "Accelerate"
+category = "main"
 optional = true
 python-versions = ">=3.7.0"
-files = [
-    {file = "accelerate-0.19.0-py3-none-any.whl", hash = "sha256:2866b0bf9fff08f51e6384c95fa96725838b70f1988d1cce42e56b820d8a91dd"},
-    {file = "accelerate-0.19.0.tar.gz", hash = "sha256:84920226b9e642e453ef37593ee55b956b08d8200dea4087c546c34e26157e76"},
-]
 
 [package.dependencies]
 numpy = ">=1.17"
@@ -23,51 +18,818 @@ dev = ["black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-buil
 quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.0.241)", "urllib3 (<2.0.0)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
-test-dev = ["datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"]
-test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
-test-trackers = ["comet-ml", "tensorboard", "wandb"]
+test_dev = ["datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "tqdm", "transformers"]
+test_prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
+test_trackers = ["comet-ml", "tensorboard", "wandb"]
 testing = ["datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "tqdm", "transformers"]
 
 [[package]]
 name = "backoff"
 version = "2.2.1"
 description = "Function decoration for backoff and retry"
+category = "main"
 optional = false
 python-versions = ">=3.7,<4.0"
-files = [
-    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
-    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
-]
 
 [[package]]
 name = "bitsandbytes"
 version = "0.38.1"
 description = "8-bit optimizers and matrix multiplication routines."
+category = "main"
 optional = true
 python-versions = "*"
-files = [
-    {file = "bitsandbytes-0.38.1-py3-none-any.whl", hash = "sha256:5f532e7b1353eb7049ae831da2eb62ed8a1e0444116bd51b9e088a6e0bc7a34a"},
-    {file = "bitsandbytes-0.38.1.tar.gz", hash = "sha256:ba95a806b5065ea3263558e188f07eacb32ad691842932fb0d36a879883167ce"},
-]
 
 [[package]]
 name = "certifi"
 version = "2023.5.7"
 description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
 optional = false
 python-versions = ">=3.6"
-files = [
-    {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
-    {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
-]
 
 [[package]]
 name = "charset-normalizer"
 version = "3.1.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+category = "main"
 optional = false
 python-versions = ">=3.7.0"
-files = [
+
+[[package]]
+name = "click"
+version = "8.1.3"
+description = "Composable command line interface toolkit"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
+[[package]]
+name = "colorama"
+version = "0.4.6"
+description = "Cross-platform colored terminal text."
+category = "main"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+
+[[package]]
+name = "Deprecated"
+version = "1.2.14"
+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.dependencies]
+wrapt = ">=1.10,<2"
+
+[package.extras]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
+
+[[package]]
+name = "einops"
+version = "0.6.1"
+description = "A new flavour of deep learning operations"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "exceptiongroup"
+version = "1.1.2"
+description = "Backport of PEP 654 (exception groups)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+test = ["pytest (>=6)"]
+
+[[package]]
+name = "filelock"
+version = "3.12.2"
+description = "A platform independent file lock."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo (>=2023.5.20)", "sphinx (>=7.0.1)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "diff-cover (>=7.5)", "pytest (>=7.3.1)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
+
+[[package]]
+name = "fsspec"
+version = "2023.6.0"
+description = "File-system specification"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+devel = ["pytest", "pytest-cov"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
+[[package]]
+name = "googleapis-common-protos"
+version = "1.59.1"
+description = "Common protobufs used in Google APIs"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
+
+[package.extras]
+grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+
+[[package]]
+name = "grpc-interceptor"
+version = "0.15.2"
+description = "Simplifies gRPC interceptors"
+category = "main"
+optional = false
+python-versions = ">=3.7,<4.0"
+
+[package.dependencies]
+grpcio = ">=1.49.1,<2.0.0"
+
+[package.extras]
+testing = ["protobuf (>=4.21.9)"]
+
+[[package]]
+name = "grpcio"
+version = "1.56.0"
+description = "HTTP/2-based RPC framework"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.56.0)"]
+
+[[package]]
+name = "grpcio-reflection"
+version = "1.56.0"
+description = "Standard Protobuf Reflection Service for gRPC"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+grpcio = ">=1.56.0"
+protobuf = ">=4.21.6"
+
+[[package]]
+name = "grpcio-status"
+version = "1.56.0"
+description = "Status proto mapping for gRPC"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+googleapis-common-protos = ">=1.5.5"
+grpcio = ">=1.56.0"
+protobuf = ">=4.21.6"
+
+[[package]]
+name = "grpcio-tools"
+version = "1.56.0"
+description = "Protobuf code generator for gRPC"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+grpcio = ">=1.56.0"
+protobuf = ">=4.21.6,<5.0dev"
+setuptools = "*"
+
+[[package]]
+name = "hf-transfer"
+version = "0.1.3"
+description = ""
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "huggingface-hub"
+version = "0.14.1"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+
+[package.dependencies]
+filelock = "*"
+fsspec = "*"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "pytest", "pytest-cov", "pytest-env", "pytest-xdist", "soundfile"]
+torch = ["torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+
+[[package]]
+name = "idna"
+version = "3.4"
+description = "Internationalized Domain Names in Applications (IDNA)"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "iniconfig"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "Jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+category = "main"
+optional = true
+python-versions = ">=3.7"
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
+[[package]]
+name = "loguru"
+version = "0.6.0"
+description = "Python logging made (stupidly) simple"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+colorama = {version = ">=0.3.4", markers = "sys_platform == \"win32\""}
+win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+dev = ["Sphinx (>=4.1.1)", "black (>=19.10b0)", "colorama (>=0.3.4)", "docutils (==0.16)", "flake8 (>=3.7.7)", "isort (>=5.1.1)", "pytest (>=4.6.2)", "pytest-cov (>=2.7.1)", "sphinx-autobuild (>=0.7.1)", "sphinx-rtd-theme (>=0.4.3)", "tox (>=3.9.0)"]
+
+[[package]]
+name = "MarkupSafe"
+version = "2.1.3"
+description = "Safely add untrusted strings to HTML/XML markup."
+category = "main"
+optional = true
+python-versions = ">=3.7"
+
+[[package]]
+name = "mpmath"
+version = "1.3.0"
+description = "Python library for arbitrary-precision floating-point arithmetic"
+category = "main"
+optional = true
+python-versions = "*"
+
+[package.extras]
+develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
+docs = ["sphinx"]
+gmpy = ["gmpy2 (>=2.1.0a4)"]
+tests = ["pytest (>=4.6)"]
+
+[[package]]
+name = "networkx"
+version = "3.1"
+description = "Python package for creating and manipulating graphs and networks"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.extras]
+default = ["matplotlib (>=3.4)", "numpy (>=1.20)", "pandas (>=1.3)", "scipy (>=1.8)"]
+developer = ["mypy (>=1.1)", "pre-commit (>=3.2)"]
+doc = ["nb2plots (>=0.6)", "numpydoc (>=1.5)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.13)", "sphinx (>=6.1)", "sphinx-gallery (>=0.12)", "texext (>=0.6.7)"]
+extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.10)", "sympy (>=1.10)"]
+test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
+
+[[package]]
+name = "numpy"
+version = "1.25.0"
+description = "Fundamental package for array computing in Python"
+category = "main"
+optional = false
+python-versions = ">=3.9"
+
+[[package]]
+name = "opentelemetry-api"
+version = "1.15.0"
+description = "OpenTelemetry Python API"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+setuptools = ">=16.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp"
+version = "1.15.0"
+description = "OpenTelemetry Collector Exporters"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+opentelemetry-exporter-otlp-proto-grpc = "1.15.0"
+opentelemetry-exporter-otlp-proto-http = "1.15.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-grpc"
+version = "1.15.0"
+description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
+googleapis-common-protos = ">=1.52,<2.0"
+grpcio = ">=1.0.0,<2.0.0"
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-proto = "1.15.0"
+opentelemetry-sdk = ">=1.12,<2.0"
+
+[package.extras]
+test = ["pytest-grpc"]
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-http"
+version = "1.15.0"
+description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
+googleapis-common-protos = ">=1.52,<2.0"
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-proto = "1.15.0"
+opentelemetry-sdk = ">=1.12,<2.0"
+requests = ">=2.7,<3.0"
+
+[package.extras]
+test = ["responses (==0.22.0)"]
+
+[[package]]
+name = "opentelemetry-instrumentation"
+version = "0.36b0"
+description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+opentelemetry-api = ">=1.4,<2.0"
+setuptools = ">=16.0"
+wrapt = ">=1.0.0,<2.0.0"
+
+[[package]]
+name = "opentelemetry-instrumentation-grpc"
+version = "0.36b0"
+description = "OpenTelemetry gRPC instrumentation"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-instrumentation = "0.36b0"
+opentelemetry-sdk = ">=1.12,<2.0"
+opentelemetry-semantic-conventions = "0.36b0"
+wrapt = ">=1.0.0,<2.0.0"
+
+[package.extras]
+instruments = ["grpcio (>=1.27,<2.0)"]
+test = ["opentelemetry-instrumentation-grpc[instruments]", "opentelemetry-sdk (>=1.12,<2.0)", "opentelemetry-test-utils (==0.36b0)", "protobuf (>=3.13,<4.0)"]
+
+[[package]]
+name = "opentelemetry-proto"
+version = "1.15.0"
+description = "OpenTelemetry Python Proto"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+protobuf = ">=3.19,<5.0"
+
+[[package]]
+name = "opentelemetry-sdk"
+version = "1.15.0"
+description = "OpenTelemetry Python SDK"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+opentelemetry-api = "1.15.0"
+opentelemetry-semantic-conventions = "0.36b0"
+setuptools = ">=16.0"
+typing-extensions = ">=3.7.4"
+
+[[package]]
+name = "opentelemetry-semantic-conventions"
+version = "0.36b0"
+description = "OpenTelemetry Semantic Conventions"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "packaging"
+version = "23.1"
+description = "Core utilities for Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "pluggy"
+version = "1.2.0"
+description = "plugin and hook calling mechanisms for python"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+testing = ["pytest", "pytest-benchmark"]
+
+[[package]]
+name = "protobuf"
+version = "4.23.3"
+description = ""
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "psutil"
+version = "5.9.5"
+description = "Cross-platform lib for process and system monitoring in Python."
+category = "main"
+optional = true
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[package.extras]
+test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+
+[[package]]
+name = "pytest"
+version = "7.4.0"
+description = "pytest: simple powerful testing with Python"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<2.0"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+
+[[package]]
+name = "PyYAML"
+version = "6.0"
+description = "YAML parser and emitter for Python"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "regex"
+version = "2023.6.3"
+description = "Alternative regular expression module, to replace re."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "requests"
+version = "2.31.0"
+description = "Python HTTP for Humans."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
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-optional = false
-python-versions = ">=3.5"
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-
-[package.extras]
-dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
-
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-version = "1.15.0"
-description = "Module for decorators, wrappers and monkey patching."
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
-files = [
+wrapt = [
     {file = "wrapt-1.15.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:ca1cccf838cd28d5a0883b342474c630ac48cac5df0ee6eacc9c7290f76b11c1"},
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@@ -1589,12 +1653,3 @@ files = [
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 ]
-
-[extras]
-accelerate = ["accelerate"]
-bnb = ["bitsandbytes"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = "^3.9"
-content-hash = "3174a211d30bed5990ed5f8418416c951bb6c585153fb51b62809baa89ef07d0"
diff --git a/server/pyproject.toml b/server/pyproject.toml
index bbf5836d..fd640e7f 100644
--- a/server/pyproject.toml
+++ b/server/pyproject.toml
@@ -26,7 +26,7 @@ hf-transfer = "^0.1.2"
 sentencepiece = "^0.1.97"
 tokenizers = "0.13.3"
 huggingface-hub = "^0.14.1"
-transformers = "^4.29.2"
+transformers = "4.29.2"
 einops = "^0.6.1"
 
 [tool.poetry.extras]
diff --git a/server/requirements.txt b/server/requirements.txt
index 92693bbd..9b8b2164 100644
--- a/server/requirements.txt
+++ b/server/requirements.txt
@@ -1,22 +1,23 @@
 backoff==2.2.1 ; python_version >= "3.9" and python_version < "4.0"
+bitsandbytes==0.38.1 ; python_version >= "3.9" and python_version < "4.0"
 certifi==2023.5.7 ; python_version >= "3.9" and python_version < "4.0"
 charset-normalizer==3.1.0 ; python_version >= "3.9" and python_version < "4.0"
 click==8.1.3 ; python_version >= "3.9" and python_version < "4.0"
-colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0" and (sys_platform == "win32" or platform_system == "Windows")
+colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0" and sys_platform == "win32" or python_version >= "3.9" and python_version < "4.0" and platform_system == "Windows"
 deprecated==1.2.14 ; python_version >= "3.9" and python_version < "4.0"
 einops==0.6.1 ; python_version >= "3.9" and python_version < "4.0"
 filelock==3.12.2 ; python_version >= "3.9" and python_version < "4.0"
 fsspec==2023.6.0 ; python_version >= "3.9" and python_version < "4.0"
 googleapis-common-protos==1.59.1 ; python_version >= "3.9" and python_version < "4.0"
 grpc-interceptor==0.15.2 ; python_version >= "3.9" and python_version < "4.0"
-grpcio-reflection==1.54.2 ; python_version >= "3.9" and python_version < "4.0"
-grpcio-status==1.54.2 ; python_version >= "3.9" and python_version < "4.0"
-grpcio==1.54.2 ; python_version >= "3.9" and python_version < "4.0"
+grpcio-reflection==1.56.0 ; python_version >= "3.9" and python_version < "4.0"
+grpcio-status==1.56.0 ; python_version >= "3.9" and python_version < "4.0"
+grpcio==1.56.0 ; python_version >= "3.9" and python_version < "4.0"
 hf-transfer==0.1.3 ; python_version >= "3.9" and python_version < "4.0"
 huggingface-hub==0.14.1 ; python_version >= "3.9" and python_version < "4.0"
 idna==3.4 ; python_version >= "3.9" and python_version < "4.0"
 loguru==0.6.0 ; python_version >= "3.9" and python_version < "4.0"
-numpy==1.24.3 ; python_version >= "3.9" and python_version < "4.0"
+numpy==1.25.0 ; python_version >= "3.9" and python_version < "4.0"
 opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
 opentelemetry-exporter-otlp-proto-grpc==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
 opentelemetry-exporter-otlp-proto-http==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
@@ -27,18 +28,18 @@ opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
 opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
 opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "4.0"
 packaging==23.1 ; python_version >= "3.9" and python_version < "4.0"
-protobuf==4.23.2 ; python_version >= "3.9" and python_version < "4.0"
+protobuf==4.23.3 ; python_version >= "3.9" and python_version < "4.0"
 pyyaml==6.0 ; python_version >= "3.9" and python_version < "4.0"
 regex==2023.6.3 ; python_version >= "3.9" and python_version < "4.0"
 requests==2.31.0 ; python_version >= "3.9" and python_version < "4.0"
 safetensors==0.3.1 ; python_version >= "3.9" and python_version < "4.0"
 sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "4.0"
-setuptools==67.8.0 ; python_version >= "3.9" and python_version < "4.0"
+setuptools==68.0.0 ; python_version >= "3.9" and python_version < "4.0"
 tokenizers==0.13.3 ; python_version >= "3.9" and python_version < "4.0"
 tqdm==4.65.0 ; python_version >= "3.9" and python_version < "4.0"
-transformers==4.30.2 ; python_version >= "3.9" and python_version < "4.0"
+transformers==4.29.2 ; python_version >= "3.9" and python_version < "4.0"
 typer==0.6.1 ; python_version >= "3.9" and python_version < "4.0"
-typing-extensions==4.6.3 ; python_version >= "3.9" and python_version < "4.0"
+typing-extensions==4.7.1 ; python_version >= "3.9" and python_version < "4.0"
 urllib3==2.0.3 ; python_version >= "3.9" and python_version < "4.0"
 win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform == "win32"
 wrapt==1.15.0 ; python_version >= "3.9" and python_version < "4.0"
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 07765e88..d224a838 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
@@ -135,8 +135,7 @@ class FlashLlamaAttention(torch.nn.Module):
         hidden_states,
         cos,
         sin,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -158,17 +157,15 @@ class FlashLlamaAttention(torch.nn.Module):
         attn_output = torch.empty_like(qkv[:, 0])
 
         # Prefill
-        if start_seq_prefill is not None:
+        if cu_seqlen_prefill is not None:
             # flash attention
             flash_attn_cuda.fwd(
                 qkv[:, 0],
                 qkv[:, 1],
                 qkv[:, 2],
                 attn_output,
-                start_seq_prefill,
-                end_seq_prefill,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
+                cu_seqlen_prefill,
                 max_s,
                 max_s,
                 0.0,
@@ -261,8 +258,7 @@ class FlashLlamaLayer(nn.Module):
         residual,
         cos,
         sin,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -276,8 +272,7 @@ class FlashLlamaLayer(nn.Module):
             normed_hidden_states,
             cos,
             sin,
-            start_seq_prefill,
-            end_seq_prefill,
+            cu_seqlen_prefill,
             kv_cache,
             block_tables,
             slots,
@@ -329,8 +324,7 @@ class FlashLlamaModel(torch.nn.Module):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
@@ -352,8 +346,7 @@ class FlashLlamaModel(torch.nn.Module):
                 residual,
                 cos,
                 sin,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
                 kv_cache[i],
                 block_tables,
                 slots,
@@ -381,8 +374,7 @@ class FlashLlamaForCausalLM(torch.nn.Module):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
@@ -393,8 +385,7 @@ class FlashLlamaForCausalLM(torch.nn.Module):
         hidden_states = self.model(
             input_ids,
             position_ids,
-            start_seq_prefill,
-            end_seq_prefill,
+            cu_seqlen_prefill,
             kv_cache,
             block_tables,
             slots,
diff --git a/server/text_generation_server/models/custom_modeling/flash_neox_modeling.py b/server/text_generation_server/models/custom_modeling/flash_neox_modeling.py
index 9049878a..23c5e4ff 100644
--- a/server/text_generation_server/models/custom_modeling/flash_neox_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_neox_modeling.py
@@ -123,8 +123,7 @@ class FlashNeoxAttention(torch.nn.Module):
         hidden_states,
         cos,
         sin,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -146,17 +145,15 @@ class FlashNeoxAttention(torch.nn.Module):
         attn_output = torch.empty_like(qkv[:, 0])
 
         # Prefill
-        if start_seq_prefill is not None:
+        if cu_seqlen_prefill is not None:
             # flash attention
             flash_attn_cuda.fwd(
                 qkv[:, 0],
                 qkv[:, 1],
                 qkv[:, 2],
                 attn_output,
-                start_seq_prefill,
-                end_seq_prefill,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
+                cu_seqlen_prefill,
                 max_s,
                 max_s,
                 0.0,
@@ -246,8 +243,7 @@ class FlashNeoXLayer(nn.Module):
         residual,
         cos,
         sin,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -261,8 +257,7 @@ class FlashNeoXLayer(nn.Module):
                 ln1_hidden_states,
                 cos,
                 sin,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
                 kv_cache,
                 block_tables,
                 slots,
@@ -286,8 +281,7 @@ class FlashNeoXLayer(nn.Module):
                 hidden_states,
                 cos,
                 sin,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
                 kv_cache,
                 block_tables,
                 slots,
@@ -341,8 +335,7 @@ class FlashGPTNeoXModel(FlashGPTNeoXPreTrainedModel):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
@@ -364,8 +357,7 @@ class FlashGPTNeoXModel(FlashGPTNeoXPreTrainedModel):
                 residual,
                 cos,
                 sin,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
                 kv_cache[i],
                 block_tables,
                 slots,
@@ -391,8 +383,7 @@ class FlashGPTNeoXForCausalLM(FlashGPTNeoXPreTrainedModel):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
@@ -403,8 +394,7 @@ class FlashGPTNeoXForCausalLM(FlashGPTNeoXPreTrainedModel):
         hidden_states = self.gpt_neox(
             input_ids,
             position_ids,
-            start_seq_prefill,
-            end_seq_prefill,
+            cu_seqlen_prefill,
             kv_cache,
             block_tables,
             slots,
diff --git a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
index 44aa7cb1..cd42bfc2 100644
--- a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
@@ -144,8 +144,7 @@ class FlashRWAttention(torch.nn.Module):
         hidden_states,
         cos,
         sin,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -176,7 +175,7 @@ class FlashRWAttention(torch.nn.Module):
         attn_output = torch.empty_like(query)
 
         # Prefill
-        if start_seq_prefill is not None:
+        if cu_seqlen_prefill is not None:
             if self.num_heads_kv == 1:
                 # Expand to query shape
                 kv = kv.expand(-1, 2, self.num_heads, self.head_size)
@@ -187,10 +186,8 @@ class FlashRWAttention(torch.nn.Module):
                 torch.select(kv, dim=1, index=0),
                 torch.select(kv, dim=1, index=1),
                 attn_output,
-                start_seq_prefill,
-                end_seq_prefill,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
+                cu_seqlen_prefill,
                 max_s,
                 max_s,
                 0.0,
@@ -276,8 +273,7 @@ class FlashRWLargeAttention(torch.nn.Module):
         hidden_states,
         cos,
         sin,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -311,7 +307,7 @@ class FlashRWLargeAttention(torch.nn.Module):
         attn_output = torch.empty_like(query)
 
         # Prefill
-        if start_seq_prefill is not None:
+        if cu_seqlen_prefill is not None:
             # Expand to query shape
             kv = (
                 kv.unsqueeze(2)
@@ -325,10 +321,8 @@ class FlashRWLargeAttention(torch.nn.Module):
                 torch.select(kv, dim=2, index=0),
                 torch.select(kv, dim=2, index=1),
                 attn_output,
-                start_seq_prefill,
-                end_seq_prefill,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
+                cu_seqlen_prefill,
                 max_s,
                 max_s,
                 0.0,
@@ -428,8 +422,7 @@ class FlashRWLayer(nn.Module):
         residual,
         cos,
         sin,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -443,8 +436,7 @@ class FlashRWLayer(nn.Module):
                 ln_hidden_states,
                 cos,
                 sin,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
                 kv_cache,
                 block_tables,
                 slots,
@@ -466,8 +458,7 @@ class FlashRWLayer(nn.Module):
                 hidden_states,
                 cos,
                 sin,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
                 kv_cache,
                 block_tables,
                 slots,
@@ -516,8 +507,7 @@ class FlashRWLargeLayer(nn.Module):
         residual,
         cos,
         sin,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -532,8 +522,7 @@ class FlashRWLargeLayer(nn.Module):
             ln_attn,
             cos,
             sin,
-            start_seq_prefill,
-            end_seq_prefill,
+            cu_seqlen_prefill,
             kv_cache,
             block_tables,
             slots,
@@ -597,8 +586,7 @@ class FlashRWModel(FlashRWPreTrainedModel):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
@@ -620,8 +608,7 @@ class FlashRWModel(FlashRWPreTrainedModel):
                 residual,
                 cos,
                 sin,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
                 kv_cache[i],
                 block_tables,
                 slots,
@@ -648,8 +635,7 @@ class FlashRWForCausalLM(FlashRWPreTrainedModel):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
@@ -660,8 +646,7 @@ class FlashRWForCausalLM(FlashRWPreTrainedModel):
         hidden_states = self.transformer(
             input_ids,
             position_ids,
-            start_seq_prefill,
-            end_seq_prefill,
+            cu_seqlen_prefill,
             kv_cache,
             block_tables,
             slots,
diff --git a/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py b/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py
index 04eedef7..855a6e11 100644
--- a/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_santacoder_modeling.py
@@ -232,8 +232,7 @@ class FlashMQAttention(torch.nn.Module):
     def forward(
         self,
         hidden_states,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -259,7 +258,7 @@ class FlashMQAttention(torch.nn.Module):
         attn_output = torch.empty_like(query)
 
         # Prefill
-        if start_seq_prefill is not None:
+        if cu_seqlen_prefill is not None:
             # Expand from 1 to num_heads
             key_value = key_value.expand(-1, 2, self.num_heads, self.head_size)
 
@@ -269,10 +268,8 @@ class FlashMQAttention(torch.nn.Module):
                 torch.select(key_value, dim=1, index=0),
                 torch.select(key_value, dim=1, index=1),
                 attn_output,
-                start_seq_prefill,
-                end_seq_prefill,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
+                cu_seqlen_prefill,
                 max_s,
                 max_s,
                 0.0,
@@ -357,8 +354,7 @@ class Block(nn.Module):
         self,
         hidden_states,
         residual,
-        start_seq_prefill,
-        end_seq_prefill,
+        cu_seqlen_prefill,
         kv_cache,
         block_tables,
         slots,
@@ -369,8 +365,7 @@ class Block(nn.Module):
 
         hidden_states = self.attn(
             hidden_states,
-            start_seq_prefill,
-            end_seq_prefill,
+            cu_seqlen_prefill,
             kv_cache,
             block_tables,
             slots,
@@ -423,8 +418,7 @@ class FlashSantacoderModel(nn.Module):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
@@ -441,8 +435,7 @@ class FlashSantacoderModel(nn.Module):
             hidden_states, residual = layer(
                 hidden_states,
                 residual,
-                start_seq_prefill,
-                end_seq_prefill,
+                cu_seqlen_prefill,
                 kv_cache[i],
                 block_tables,
                 slots,
@@ -467,8 +460,7 @@ class FlashSantacoderForCausalLM(nn.Module):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         kv_cache: List[Tuple[torch.Tensor, torch.Tensor]],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
@@ -479,8 +471,7 @@ class FlashSantacoderForCausalLM(nn.Module):
         hidden_states = self.transformer(
             input_ids,
             position_ids,
-            start_seq_prefill,
-            end_seq_prefill,
+            cu_seqlen_prefill,
             kv_cache,
             block_tables,
             slots,
diff --git a/server/text_generation_server/models/flash_causal_lm.py b/server/text_generation_server/models/flash_causal_lm.py
index 94b14f85..bf5f5bbe 100644
--- a/server/text_generation_server/models/flash_causal_lm.py
+++ b/server/text_generation_server/models/flash_causal_lm.py
@@ -121,10 +121,10 @@ class FlashCausalLMBatch(Batch):
     input_ids: torch.Tensor
     position_ids: torch.Tensor
 
-    # tensor of length b holding starting offset of each sequence, only used in prefill
-    start_seq_prefill: Optional[torch.Tensor]
-    # tensor of length b holding ending offset of each sequence, only used in prefill
-    end_seq_prefill: Optional[torch.Tensor]
+    # Flash Attention values
+
+    # tensor of length b containing the cumulative sequence lengths of the sequences in the batch, only used in prefill
+    cu_seqlen_prefill: Optional[torch.Tensor]
 
     # Paged Attention values
 
@@ -197,8 +197,7 @@ class FlashCausalLMBatch(Batch):
         )["input_ids"]
 
         position_ids = []
-        start_seq_prefill = []
-        end_seq_prefill = []
+        cu_seqlen_prefill = [0]
         needed_blocks_slots = []
         start_slots = []
         slot_indices = []
@@ -250,8 +249,7 @@ class FlashCausalLMBatch(Batch):
             position_ids.append(request_position_ids)
 
             # Add cumulative lengths of all previous inputs
-            start_seq_prefill.append(cumulative_length)
-            end_seq_prefill.append(cumulative_length + input_length)
+            cu_seqlen_prefill.append(cumulative_length + input_length)
 
             next_token_chooser_parameters.append(r.parameters)
 
@@ -329,11 +327,8 @@ class FlashCausalLMBatch(Batch):
             position_ids = position_ids[0]
             slot_indices = slot_indices[0]
 
-        start_seq_prefill = torch.tensor(
-            start_seq_prefill, device=device, dtype=torch.int32
-        )
-        end_seq_prefill = torch.tensor(
-            end_seq_prefill, device=device, dtype=torch.int32
+        cu_seqlen_prefill = torch.tensor(
+            cu_seqlen_prefill, device=device, dtype=torch.int32
         )
 
         position_ids = position_ids.to(device)
@@ -345,9 +340,9 @@ class FlashCausalLMBatch(Batch):
 
         if all_prefill_logprobs:
             prefill_head_indices = None
-            prefill_next_token_indices = end_seq_prefill - 1
+            prefill_next_token_indices = cu_seqlen_prefill[1:] - 1
         elif no_prefill_logprobs:
-            prefill_head_indices = end_seq_prefill - 1
+            prefill_head_indices = cu_seqlen_prefill[1:] - 1
             prefill_next_token_indices = None
         else:
             prefill_head_indices = torch.tensor(
@@ -363,8 +358,7 @@ class FlashCausalLMBatch(Batch):
             requests_idx_mapping=requests_idx_mapping,
             input_ids=input_ids,
             position_ids=position_ids,
-            start_seq_prefill=start_seq_prefill,
-            end_seq_prefill=end_seq_prefill,
+            cu_seqlen_prefill=cu_seqlen_prefill,
             start_slots=start_slots,
             slot_indices=slot_indices,
             needed_blocks_slots=needed_blocks_slots,
@@ -504,8 +498,7 @@ class FlashCausalLMBatch(Batch):
             requests_idx_mapping=requests_idx_mapping,
             input_ids=input_ids,
             position_ids=position_ids,
-            start_seq_prefill=None,
-            end_seq_prefill=None,
+            cu_seqlen_prefill=None,
             start_slots=start_slots,
             slot_indices=slot_indices,
             needed_blocks_slots=None,
@@ -652,8 +645,7 @@ class FlashCausalLMBatch(Batch):
             requests_idx_mapping=requests_idx_mapping,
             input_ids=input_ids,
             position_ids=position_ids,
-            start_seq_prefill=None,
-            end_seq_prefill=None,
+            cu_seqlen_prefill=None,
             start_slots=start_slots,
             slot_indices=slot_indices,
             needed_blocks_slots=None,
@@ -750,8 +742,7 @@ class FlashCausalLM(Model):
         self,
         input_ids: torch.Tensor,
         position_ids: torch.Tensor,
-        start_seq_prefill: Optional[torch.Tensor],
-        end_seq_prefill: Optional[torch.Tensor],
+        cu_seqlen_prefill: Optional[torch.Tensor],
         block_tables: torch.Tensor,
         slots: torch.Tensor,
         input_lengths: torch.Tensor,
@@ -764,8 +755,7 @@ class FlashCausalLM(Model):
         return self.model.forward(
             input_ids=input_ids,
             position_ids=position_ids,
-            start_seq_prefill=start_seq_prefill,
-            end_seq_prefill=end_seq_prefill,
+            cu_seqlen_prefill=cu_seqlen_prefill,
             kv_cache=CACHE_MANAGER.kv_cache,
             block_tables=block_tables,
             slots=slots,
@@ -778,7 +768,7 @@ class FlashCausalLM(Model):
     def generate_token(
         self, batch: FlashCausalLMBatch
     ) -> Tuple[List[Generation], Optional[FlashCausalLMBatch]]:
-        prefill = batch.start_seq_prefill is not None
+        prefill = batch.cu_seqlen_prefill is not None
         prefill_logprobs = batch.prefill_next_token_indices is not None
 
         if batch.needed_blocks_slots:
@@ -788,8 +778,7 @@ class FlashCausalLM(Model):
         out = self.forward(
             batch.input_ids,
             batch.position_ids,
-            batch.start_seq_prefill,
-            batch.end_seq_prefill,
+            batch.cu_seqlen_prefill,
             batch.block_tables_tensor,
             batch.slots[batch.slot_indices],
             batch.input_lengths_tensor,
@@ -815,10 +804,9 @@ class FlashCausalLM(Model):
                 prefill_tokens_indices = batch.input_ids.new_zeros(len(out))
 
             next_position_ids = batch.position_ids.new_empty(len(batch))
-            batch.slot_indices = batch.slot_indices[batch.end_seq_prefill - 1]
-            # We do not need start_seq_prefill and end_seq_prefill anymore
-            batch.start_seq_prefill = None
-            batch.end_seq_prefill = None
+            batch.slot_indices = batch.slot_indices[batch.cu_seqlen_prefill[1:] - 1]
+            # We do not need cu_seqlen_prefill anymore
+            batch.cu_seqlen_prefill = None
         else:
             prefill_logprobs = None
             next_position_ids = batch.position_ids
diff --git a/server/text_generation_server/models/mpt.py b/server/text_generation_server/models/mpt.py
index 3c0f8167..a4fe5105 100644
--- a/server/text_generation_server/models/mpt.py
+++ b/server/text_generation_server/models/mpt.py
@@ -66,7 +66,9 @@ class MPTSharded(CausalLM):
         if local_path.exists():
             filename = str(local_path.resolve())
         else:
-            filename = hf_hub_download(model_id, revision=revision, filename="config.json")
+            filename = hf_hub_download(
+                model_id, revision=revision, filename="config.json"
+            )
         with open(filename, "r") as f:
             config = json.load(f)
         config = PretrainedConfig(**config)
diff --git a/server/text_generation_server/utils/layers.py b/server/text_generation_server/utils/layers.py
index cbdfea66..8e0362b8 100644
--- a/server/text_generation_server/utils/layers.py
+++ b/server/text_generation_server/utils/layers.py
@@ -359,7 +359,7 @@ try:
         def __init__(self, inv_freq):
             super().__init__()
 
-            self.register_buffer("inv_freq", inv_freq)
+            self.inv_freq = inv_freq
             self._seq_len_cached = 0
             self._cos_cached = None
             self._sin_cached = None