diff --git a/poetry.lock b/poetry.lock
index 7e2cd689..d71442b6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,123 +2,109 @@
 
 [[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-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.5"
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 description = "Async http client/server framework (asyncio)"
 optional = true
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+python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -150,13 +136,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.2.post1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -166,19 +152,19 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "async-timeout"
-version = "4.0.3"
+version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = true
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+python-versions = ">=3.8"
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 [[package]]
@@ -200,20 +186,6 @@ docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphi
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
-[[package]]
-name = "audioread"
-version = "3.0.1"
-description = "Multi-library, cross-platform audio decoding."
-optional = true
-python-versions = ">=3.6"
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-
-[package.extras]
-test = ["tox"]
-
 [[package]]
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 version = "4.0"
@@ -227,13 +199,13 @@ files = [
 
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 name = "cachecontrol"
-version = "0.14.0"
+version = "0.14.1"
 description = "httplib2 caching for requests"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 [package.dependencies]
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 requests = ">=2.16.0"
 
 [package.extras]
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+dev = ["CacheControl[filecache,redis]", "build", "cherrypy", "codespell[tomli]", "furo", "mypy", "pytest", "pytest-cov", "ruff", "sphinx", "sphinx-copybutton", "tox", "types-redis", "types-requests"]
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 redis = ["redis (>=2.10.5)"]
 
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 [package.dependencies]
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 ]
 
 [[package]]
@@ -462,13 +449,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "cloudpickle"
-version = "3.0.0"
+version = "3.1.0"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
-    {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
+    {file = "cloudpickle-3.1.0-py3-none-any.whl", hash = "sha256:fe11acda67f61aaaec473e3afe030feb131d78a43461b718185363384f1ba12e"},
+    {file = "cloudpickle-3.1.0.tar.gz", hash = "sha256:81a929b6e3c7335c863c771d673d105f02efdb89dfaba0c90495d1c64796601b"},
 ]
 
 [[package]]
@@ -482,6 +469,26 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "compressed-tensors"
+version = "0.8.0"
+description = "Library for utilization of compressed safetensors of neural network models"
+optional = true
+python-versions = "*"
+files = [
+    {file = "compressed-tensors-0.8.0.tar.gz", hash = "sha256:48f3ff5d123cc7536d157fc60e4c5a36fd80b620e60e5d89386fa5ce5b327c4c"},
+    {file = "compressed_tensors-0.8.0-py3-none-any.whl", hash = "sha256:5f0cd41d72f4838218475c97706a5792f5e0f97c68fd3fb1f56092dd82895604"},
+]
+
+[package.dependencies]
+pydantic = ">=2.0"
+torch = ">=1.7.0"
+transformers = "*"
+
+[package.extras]
+accelerate = ["accelerate"]
+dev = ["black (==22.12.0)", "flake8 (>=3.8.3)", "isort (==5.8.0)", "nbconvert (>=7.16.3)", "pytest (>=6.0.0)", "wheel (>=0.36.2)"]
+
 [[package]]
 name = "cupy-cuda12x"
 version = "12.1.0"
@@ -514,13 +521,13 @@ test = ["hypothesis (>=6.37.2,<6.55.0)", "pytest (>=7.2)"]
 
 [[package]]
 name = "cyclonedx-python-lib"
-version = "7.6.0"
+version = "7.6.2"
 description = "Python library for CycloneDX"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "cyclonedx_python_lib-7.6.0-py3-none-any.whl", hash = "sha256:30655e89e5f987dc8d57835919748d71589fafeb33ff1dec45048eb72eda3cf9"},
-    {file = "cyclonedx_python_lib-7.6.0.tar.gz", hash = "sha256:fa481d5f0d82728cb6a32e55f8ba9c666ba75a2bd99eb643228e3011c56bb5c4"},
+    {file = "cyclonedx_python_lib-7.6.2-py3-none-any.whl", hash = "sha256:c42fab352cc0f7418d1b30def6751d9067ebcf0e8e4be210fc14d6e742a9edcc"},
+    {file = "cyclonedx_python_lib-7.6.2.tar.gz", hash = "sha256:31186c5725ac0cfcca433759a407b1424686cdc867b47cc86e6cf83691310903"},
 ]
 
 [package.dependencies]
@@ -536,58 +543,45 @@ xml-validation = ["lxml (>=4,<6)"]
 
 [[package]]
 name = "datasets"
-version = "2.21.0"
+version = "2.14.4"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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-filelock = "*"
-fsspec = {version = ">=2023.1.0,<=2024.6.1", extras = ["http"]}
-huggingface-hub = ">=0.21.2"
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+huggingface-hub = ">=0.14.0,<1.0.0"
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
 pandas = "*"
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 pyyaml = ">=5.1"
-requests = ">=2.32.2"
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-vision = ["Pillow (>=9.4.0)"]
-
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-description = "Decorators for Humans"
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 name = "defusedxml"
@@ -602,18 +596,17 @@ files = [
 
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-version = "0.3.8"
+version = "0.3.7"
 description = "serialize all of Python"
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+python-versions = ">=3.7"
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 [[package]]
 name = "diskcache"
@@ -628,13 +621,13 @@ files = [
 
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+[[package]]
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+
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@@ -664,18 +668,18 @@ test = ["pytest (>=6)"]
 
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 [[package]]
 name = "fsspec"
-version = "2024.6.1"
+version = "2024.10.0"
 description = "File-system specification"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -912,17 +931,18 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "gguf"
-version = "0.9.1"
+version = "0.10.0"
 description = "Read and write ML models in GGUF for GGML"
 optional = true
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 numpy = ">=1.17"
+pyyaml = ">=5.1"
 tqdm = ">=4.27"
 
 [[package]]
@@ -959,13 +979,13 @@ lxml = ["lxml"]
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = true
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -976,65 +996,72 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
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 python-versions = ">=3.8.0"
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 ]
 
 [package.extras]
-test = ["Cython (>=0.29.24,<0.30.0)"]
+test = ["Cython (>=0.29.24)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.28.0"
 description = "The next generation HTTP client."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1042,7 +1069,6 @@ anyio = "*"
 certifi = "*"
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
 brotli = ["brotli", "brotlicffi"]
@@ -1053,13 +1079,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.6"
+version = "0.26.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1072,28 +1098,28 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
+inference = ["aiohttp"]
+quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "identify"
-version = "2.6.0"
+version = "2.6.3"
 description = "File identification library for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "identify-2.6.3-py2.py3-none-any.whl", hash = "sha256:9edba65473324c2ea9684b1f944fe3191db3345e50b6d04571d10ed164f8d7bd"},
+    {file = "identify-2.6.3.tar.gz", hash = "sha256:62f5dae9b5fef52c84cc188514e9ea4f3f636b1d8799ab5ebc475471f9e47a02"},
 ]
 
 [package.extras]
@@ -1101,33 +1127,40 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
 files = [
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+type = ["pytest-mypy"]
 
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 name = "iniconfig"
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 [[package]]
@@ -1272,13 +1308,13 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.12.1"
+version = "2024.10.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = true
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+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -1301,65 +1337,15 @@ interegular = ["interegular (>=0.3.1,<0.4.0)"]
 nearley = ["js2py"]
 regex = ["regex"]
 
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-
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-
 [[package]]
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 description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic."
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-python-versions = ">=3.8"
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 [package.dependencies]
@@ -1401,13 +1387,13 @@ files = [
 
 [[package]]
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+version = "0.10.9"
 description = "Enforce the output format (JSON Schema, Regex etc) of a language model"
 optional = true
 python-versions = "<4.0,>=3.8"
 files = [
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 [package.dependencies]
@@ -1442,71 +1428,72 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "markupsafe"
-version = "2.1.5"
+version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -1820,6 +1854,7 @@ typing-extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
+faster-cache = ["orjson"]
 install-types = ["pip"]
 mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
@@ -1848,20 +1883,21 @@ files = [
 
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 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
@@ -1956,46 +1992,50 @@ files = [
 
 [[package]]
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+version = "12.4.5.8"
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 [[package]]
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-version = "12.1.105"
+version = "12.4.127"
 description = "CUDA profiling tools runtime libs."
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 python-versions = ">=3"
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 [[package]]
 name = "nvidia-cuda-nvrtc-cu12"
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+version = "12.4.127"
 description = "NVRTC native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
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 ]
 
 [[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 = [
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 ]
 
 [[package]]
@@ -2014,35 +2054,41 @@ 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"},
-    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
+    {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]
@@ -2052,13 +2098,14 @@ 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]
@@ -2077,47 +2124,47 @@ 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"},
-    {file = "nvidia_nvjitlink_cu12-12.6.68-py3-none-manylinux2014_x86_64.whl", hash = "sha256:125a6c2a44e96386dda634e13d944e60b07a0402d391a070e8fb4104b34ea1ab"},
-    {file = "nvidia_nvjitlink_cu12-12.6.68-py3-none-win_amd64.whl", hash = "sha256:a55744c98d70317c5e23db14866a8cc2b733f7324509e941fc96276f9f37801d"},
+    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83"},
+    {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"},
-    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
+    {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]]
 name = "openai"
-version = "1.43.0"
+version = "1.55.3"
 description = "The official Python library for the openai API"
 optional = true
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
 files = [
-    {file = "openai-1.43.0-py3-none-any.whl", hash = "sha256:1a748c2728edd3a738a72a0212ba866f4fdbe39c9ae03813508b267d45104abe"},
-    {file = "openai-1.43.0.tar.gz", hash = "sha256:e607aff9fc3e28eade107e5edd8ca95a910a4b12589336d3cbb6bfe2ac306b3c"},
+    {file = "openai-1.55.3-py3-none-any.whl", hash = "sha256:2a235d0e1e312cd982f561b18c27692e253852f4e5fb6ccf08cb13540a9bdaa1"},
+    {file = "openai-1.55.3.tar.gz", hash = "sha256:547e85b94535469f137a779d8770c8c5adebd507c2cc6340ca401a7c4d5d16f0"},
 ]
 
 [package.dependencies]
@@ -2133,6 +2180,30 @@ typing-extensions = ">=4.11,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
+name = "opencv-python-headless"
+version = "4.10.0.84"
+description = "Wrapper package for OpenCV python bindings."
+optional = true
+python-versions = ">=3.6"
+files = [
+    {file = "opencv-python-headless-4.10.0.84.tar.gz", hash = "sha256:f2017c6101d7c2ef8d7bc3b414c37ff7f54d64413a1847d89970b6b7069b4e1a"},
+    {file = "opencv_python_headless-4.10.0.84-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:a4f4bcb07d8f8a7704d9c8564c224c8b064c63f430e95b61ac0bffaa374d330e"},
+    {file = "opencv_python_headless-4.10.0.84-cp37-abi3-macosx_12_0_x86_64.whl", hash = "sha256:5ae454ebac0eb0a0b932e3406370aaf4212e6a3fdb5038cc86c7aea15a6851da"},
+    {file = "opencv_python_headless-4.10.0.84-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46071015ff9ab40fccd8a163da0ee14ce9846349f06c6c8c0f2870856ffa45db"},
+    {file = "opencv_python_headless-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:377d08a7e48a1405b5e84afcbe4798464ce7ee17081c1c23619c8b398ff18295"},
+    {file = "opencv_python_headless-4.10.0.84-cp37-abi3-win32.whl", hash = "sha256:9092404b65458ed87ce932f613ffbb1106ed2c843577501e5768912360fc50ec"},
+    {file = "opencv_python_headless-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:afcf28bd1209dd58810d33defb622b325d3cbe49dcd7a43a902982c33e5fad05"},
+]
+
+[package.dependencies]
+numpy = [
+    {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+]
+
 [[package]]
 name = "outlines"
 version = "0.0.46"
@@ -2169,13 +2240,13 @@ test = ["accelerate", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "diff-cove
 
 [[package]]
 name = "packageurl-python"
-version = "0.15.6"
+version = "0.16.0"
 description = "A purl aka. Package URL parser and builder"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "packageurl_python-0.15.6-py3-none-any.whl", hash = "sha256:a40210652c89022772a6c8340d6066f7d5dc67132141e5284a4db7a27d0a8ab0"},
-    {file = "packageurl_python-0.15.6.tar.gz", hash = "sha256:cbc89afd15d5f4d05db4f1b61297e5b97a43f61f28799f6d282aff467ed2ee96"},
+    {file = "packageurl_python-0.16.0-py3-none-any.whl", hash = "sha256:5c3872638b177b0f1cf01c3673017b7b27ebee485693ae12a8bed70fa7fa7c35"},
+    {file = "packageurl_python-0.16.0.tar.gz", hash = "sha256:69e3bf8a3932fe9c2400f56aaeb9f86911ecee2f9398dbe1b58ec34340be365d"},
 ]
 
 [package.extras]
@@ -2186,51 +2257,64 @@ test = ["pytest"]
 
 [[package]]
 name = "packaging"
-version = "24.1"
+version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
-    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
+    {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
+    {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
 ]
 
 [[package]]
 name = "pandas"
-version = "2.2.2"
+version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
-optional = false
+optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"},
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 ]
 
 [package.dependencies]
@@ -2268,6 +2352,20 @@ sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-d
 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.9.2)"]
 
+[[package]]
+name = "partial-json-parser"
+version = "0.2.1.1.post4"
+description = "Parse partial JSON generated by LLM"
+optional = true
+python-versions = ">=3.6"
+files = [
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+]
+
+[package.extras]
+playground = ["rich"]
+
 [[package]]
 name = "pillow"
 version = "10.4.0"
@@ -2367,13 +2465,13 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "pip"
-version = "24.2"
+version = "24.3.1"
 description = "The PyPA recommended tool for installing Python packages."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pip-24.2-py3-none-any.whl", hash = "sha256:2cd581cf58ab7fcfca4ce8efa6dcacd0de5bf8d0a3eb9ec927e07405f4d9e2a2"},
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 ]
 
 [[package]]
@@ -2439,19 +2537,19 @@ testing = ["aboutcode-toolkit (>=6.0.0)", "black", "pytest (>=6,!=7.0.0)", "pyte
 
 [[package]]
 name = "platformdirs"
-version = "4.2.2"
+version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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-type = ["mypy (>=1.8)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "pluggy"
@@ -2469,25 +2567,45 @@ dev = ["pre-commit", "tox"]
 testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
-name = "pooch"
-version = "1.8.2"
-description = "A friend to fetch your data files"
-optional = true
-python-versions = ">=3.7"
+name = "polars"
+version = "1.15.0"
+description = "Blazingly fast DataFrame library"
+optional = false
+python-versions = ">=3.9"
 files = [
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+    {file = "polars-1.15.0.tar.gz", hash = "sha256:4f60a64ceb2e56fd0f9f403d4b6734e033876904d04cb9a29c43653c6b2b2d43"},
 ]
 
-[package.dependencies]
-packaging = ">=20.0"
-platformdirs = ">=2.5.0"
-requests = ">=2.19.0"
-
 [package.extras]
-progress = ["tqdm (>=4.41.0,<5.0.0)"]
-sftp = ["paramiko (>=2.7.0)"]
-xxhash = ["xxhash (>=1.4.3)"]
+adbc = ["adbc-driver-manager[dbapi]", "adbc-driver-sqlite[dbapi]"]
+all = ["polars[async,cloudpickle,database,deltalake,excel,fsspec,graph,iceberg,numpy,pandas,plot,pyarrow,pydantic,style,timezone]"]
+async = ["gevent"]
+calamine = ["fastexcel (>=0.9)"]
+cloudpickle = ["cloudpickle"]
+connectorx = ["connectorx (>=0.3.2)"]
+database = ["nest-asyncio", "polars[adbc,connectorx,sqlalchemy]"]
+deltalake = ["deltalake (>=0.15.0)"]
+excel = ["polars[calamine,openpyxl,xlsx2csv,xlsxwriter]"]
+fsspec = ["fsspec"]
+gpu = ["cudf-polars-cu12"]
+graph = ["matplotlib"]
+iceberg = ["pyiceberg (>=0.5.0)"]
+numpy = ["numpy (>=1.16.0)"]
+openpyxl = ["openpyxl (>=3.0.0)"]
+pandas = ["pandas", "polars[pyarrow]"]
+plot = ["altair (>=5.4.0)"]
+pyarrow = ["pyarrow (>=7.0.0)"]
+pydantic = ["pydantic"]
+sqlalchemy = ["polars[pandas]", "sqlalchemy"]
+style = ["great-tables (>=0.8.0)"]
+timezone = ["backports-zoneinfo", "tzdata"]
+xlsx2csv = ["xlsx2csv (>=0.8.0)"]
+xlsxwriter = ["xlsxwriter"]
 
 [[package]]
 name = "pre-commit"
@@ -2509,13 +2627,13 @@ virtualenv = ">=20.10.0"
 
 [[package]]
 name = "prometheus-client"
-version = "0.20.0"
+version = "0.21.0"
 description = "Python client for the Prometheus monitoring system."
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "prometheus_client-0.21.0-py3-none-any.whl", hash = "sha256:4fa6b4dd0ac16d58bb587c04b1caae65b8c5043e85f778f42f5f632f6af2e166"},
+    {file = "prometheus_client-0.21.0.tar.gz", hash = "sha256:96c83c606b71ff2b0a433c98889d275f51ffec6c5e267de37c7a2b5c9aa9233e"},
 ]
 
 [package.extras]
@@ -2536,54 +2654,162 @@ files = [
 prometheus-client = ">=0.8.0,<1.0.0"
 starlette = ">=0.30.0,<1.0.0"
 
+[[package]]
+name = "propcache"
+version = "0.2.0"
+description = "Accelerated property cache"
+optional = true
+python-versions = ">=3.8"
+files = [
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 name = "py-cpuinfo"
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-
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 test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
 
@@ -2696,122 +2925,131 @@ files = [
 
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 [[package]]
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+version = "3.2.0"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
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 [package.extras]
@@ -2847,13 +3085,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pytest"
-version = "8.3.2"
+version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
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 [package.dependencies]
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 name = "python-dateutil"
 version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
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 [[package]]
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+version = "2024.2"
 description = "World timezone definitions, modern and historical"
-optional = false
+optional = true
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 [[package]]
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 [package.dependencies]
@@ -3132,19 +3370,19 @@ requests = "*"
 
 [package.extras]
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 [[package]]
 name = "referencing"
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 [[package]]
 name = "regex"
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 [[package]]
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 [package.extras]
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 [package.extras]
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 version = "0.7.0"
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 ]
 
 [package.dependencies]
@@ -4009,42 +4116,69 @@ files = [
 
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 name = "tomli"
-version = "2.0.1"
+version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "torch"
-version = "2.4.0"
+version = "2.5.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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+    {file = "torch-2.5.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:8046768b7f6d35b85d101b4b38cba8aa2f3cd51952bc4c06a49580f2ce682291"},
 ]
 
 [package.dependencies]
@@ -4052,63 +4186,56 @@ 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\""}
-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)"]
 
 [[package]]
 name = "torchvision"
-version = "0.19.0"
+version = "0.20.1"
 description = "image and video datasets and models for torch deep learning"
 optional = true
 python-versions = ">=3.8"
 files = [
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 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.4.0"
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 [package.extras]
 gdown = ["gdown (>=4.7.3)"]
@@ -4116,33 +4243,34 @@ scipy = ["scipy"]
 
 [[package]]
 name = "tqdm"
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 [package.extras]
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 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.44.2"
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 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = true
 python-versions = ">=3.8.0"
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 [package.dependencies]
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 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.19,<0.20"
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 tqdm = ">=4.27"
 
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@@ -4179,7 +4307,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
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 ruff = ["ruff (==0.5.1)"]
@@ -4189,31 +4317,32 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
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 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
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@@ -4226,13 +4355,13 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
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@@ -4279,20 +4408,20 @@ zstd = ["zstandard (>=0.18.0)"]
 
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 [package.extras]
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 docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
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 [[package]]
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+version = "20.28.0"
 description = "Virtual Python Environment builder"
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-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -4369,70 +4505,59 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [[package]]
 name = "vllm"
-version = "0.5.5"
+version = "0.6.4.post1"
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-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
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 importlib-metadata = "*"
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-openai = ">=1.0"
+nvidia-ml-py = ">=12.560.30"
+openai = ">=1.45.0"
 outlines = ">=0.0.43,<0.1"
+partial-json-parser = "*"
 pillow = "*"
 prometheus-client = ">=0.18.0"
 prometheus-fastapi-instrumentator = ">=7.0.0"
 protobuf = "*"
 psutil = "*"
 py-cpuinfo = "*"
-pydantic = ">=2.8"
+pydantic = ">=2.9"
+pyyaml = "*"
 pyzmq = "*"
 ray = ">=2.9"
-requests = "*"
+requests = ">=2.26.0"
 sentencepiece = "*"
-soundfile = "*"
+setuptools = {version = ">=74.1.1", markers = "python_version > \"3.11\""}
+six = {version = ">=1.16.0", markers = "python_version > \"3.11\""}
 tiktoken = ">=0.6.0"
 tokenizers = ">=0.19.1"
-torch = "2.4.0"
-torchvision = "0.19"
+torch = "2.5.1"
+torchvision = "0.20.1"
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+transformers = ">=4.45.2"
 typing-extensions = ">=4.10"
 uvicorn = {version = "*", extras = ["standard"]}
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-xformers = {version = "0.0.27.post2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+xformers = {version = "0.0.28.post3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 
 [package.extras]
+audio = ["librosa", "soundfile"]
 tensorizer = ["tensorizer (>=2.9.0)"]
-
-[[package]]
-name = "vllm-flash-attn"
-version = "2.6.1"
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-optional = true
-python-versions = ">=3.8"
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-]
-
-[package.dependencies]
-torch = "2.4.0"
+video = ["decord"]
 
 [[package]]
 name = "vllm-nccl-cu12"
@@ -4446,94 +4571,82 @@ files = [
 
 [[package]]
 name = "watchfiles"
-version = "0.24.0"
+version = "1.0.0"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -4552,122 +4665,99 @@ files = [
 
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 name = "xxhash"
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+    {file = "yarl-1.18.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:466d31fd043ef9af822ee3f1df8fdff4e8c199a7f4012c2642006af240eade17"},
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+    {file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:d9d4f5e471e8dc49b593a80766c2328257e405f943c56a3dc985c125732bc4cf"},
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+    {file = "yarl-1.18.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a7ee6884a8848792d58b854946b685521f41d8871afa65e0d4a774954e9c9e89"},
+    {file = "yarl-1.18.0-cp39-cp39-win32.whl", hash = "sha256:b4095c5019bb889aa866bf12ed4c85c0daea5aafcb7c20d1519f02a1e738f07f"},
+    {file = "yarl-1.18.0-cp39-cp39-win_amd64.whl", hash = "sha256:2d90f2e4d16a5b0915ee065218b435d2ef619dd228973b1b47d262a6f7cd8fa5"},
+    {file = "yarl-1.18.0-py3-none-any.whl", hash = "sha256:dbf53db46f7cf176ee01d8d98c39381440776fcda13779d269a8ba664f69bec0"},
+    {file = "yarl-1.18.0.tar.gz", hash = "sha256:20d95535e7d833889982bfe7cc321b7f63bf8879788fee982c76ae2b24cfb715"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [[package]]
 name = "zipp"
-version = "3.20.1"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"},
-    {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
@@ -4931,4 +5012,4 @@ dev = ["cupy-cuda12x", "ray", "vllm", "vllm-nccl-cu12"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "4f08d5b28082a32bc0d27e048411d2cbccd127512b745bd2a0ed091d405534e0"
+content-hash = "0bc239e9a51e0bc929d9c42b2accd53d0dbe20268ddf68527fee7c48986ee760"
diff --git a/pyproject.toml b/pyproject.toml
index ce25b78b..d0cc0d60 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "vec-inf"
-version = "0.4.0"
+version = "0.4.0.post1"
 description = "Efficient LLM inference on Slurm clusters using vLLM."
 authors = ["Marshall Wang <marshall.wang@vectorinstitute.ai>"]
 license = "MIT license"
@@ -11,7 +11,7 @@ python = "^3.10"
 requests = "^2.31.0"
 click = "^8.1.0"
 rich = "^13.7.0"
-pandas = "^1.15.0"
+polars = "^1.15.0"
 numpy = "^1.24.0"
 vllm = { version = "^0.6.0", optional = true }
 vllm-nccl-cu12 = { version = ">=2.18,<2.19", optional = true }
diff --git a/vec_inf/launch_server.sh b/vec_inf/launch_server.sh
index 54dc939d..6d1fe900 100755
--- a/vec_inf/launch_server.sh
+++ b/vec_inf/launch_server.sh
@@ -50,7 +50,7 @@ export MODEL_WEIGHTS_PARENT_DIR=$model_weights_parent_dir
 
 if [ -n "$max_num_seqs" ]; then
     export VLLM_MAX_NUM_SEQS=$max_num_seqs
-else 
+else
     export VLLM_MAX_NUM_SEQS=256
 fi
 
@@ -75,7 +75,7 @@ fi
 mkdir -p $LOG_DIR
 
 # Model and entrypoint configuration. API Server URL (host, port) are set automatically based on the
-# SLURM job 
+# SLURM job
 export SRC_DIR="$(dirname "$0")"
 export MODEL_DIR="${SRC_DIR}/models/${MODEL_FAMILY}"
 
diff --git a/vec_inf/models/README.md b/vec_inf/models/README.md
index 9e5a6761..703263ef 100644
--- a/vec_inf/models/README.md
+++ b/vec_inf/models/README.md
@@ -1,13 +1,17 @@
 # Available Models
 More profiling metrics coming soon!
 
-## [Cohere for AI: Command R](https://huggingface.co/collections/CohereForAI/c4ai-command-r-plus-660ec4c34f7a69c50ce7f7b9)
+## Text Generation Models
+
+### [Cohere for AI: Command R](https://huggingface.co/collections/CohereForAI/c4ai-command-r-plus-660ec4c34f7a69c50ce7f7b9)
 
 | Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
-|[`c4ai-command-r-plus`](https://huggingface.co/CohereForAI/c4ai-command-r-plus)| 8x a40 (2 nodes, 4 a40/node) | 412 tokens/s | 541 tokens/s |
+| [`c4ai-command-r-plus`](https://huggingface.co/CohereForAI/c4ai-command-r-plus) | 8x a40 (2 nodes, 4 a40/node) | 412 tokens/s | 541 tokens/s |
+| [`c4ai-command-r-plus-08-2024`](https://huggingface.co/CohereForAI/c4ai-command-r-plus-08-2024) | 8x a40 (2 nodes, 4 a40/node) | - tokens/s | - tokens/s |
+| [`c4ai-command-r-08-2024`](https://huggingface.co/CohereForAI/c4ai-command-r-08-2024) | 8x a40 (2 nodes, 4 a40/node) | - tokens/s | - tokens/s |
 
-## [Code Llama](https://huggingface.co/collections/meta-llama/code-llama-family-661da32d0a9d678b6f55b933)
+### [Code Llama](https://huggingface.co/collections/meta-llama/code-llama-family-661da32d0a9d678b6f55b933)
 
 | Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
@@ -20,13 +24,13 @@ More profiling metrics coming soon!
 | [`CodeLlama-70b-hf`](https://huggingface.co/meta-llama/CodeLlama-70b-hf) | 4x a40 | - tokens/s | - tokens/s |
 | [`CodeLlama-70b-Instruct-hf`](https://huggingface.co/meta-llama/CodeLlama-70b-Instruct-hf) | 4x a40 | - tokens/s | - tokens/s |
 
-## [Databricks: DBRX](https://huggingface.co/collections/databricks/dbrx-6601c0852a0cdd3c59f71962)
+### [Databricks: DBRX](https://huggingface.co/collections/databricks/dbrx-6601c0852a0cdd3c59f71962)
 
 | Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
-|[`dbrx-instruct`](https://huggingface.co/databricks/dbrx-instruct)| 8x a40 (2 nodes, 4 a40/node) | 107 tokens/s | 904 tokens/s |
+| [`dbrx-instruct`](https://huggingface.co/databricks/dbrx-instruct) | 8x a40 (2 nodes, 4 a40/node) | 107 tokens/s | 904 tokens/s |
 
-## [Google: Gemma 2](https://huggingface.co/collections/google/gemma-2-release-667d6600fd5220e7b967f315)
+### [Google: Gemma 2](https://huggingface.co/collections/google/gemma-2-release-667d6600fd5220e7b967f315)
 
 | Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
@@ -35,21 +39,7 @@ More profiling metrics coming soon!
 | [`gemma-2-27b`](https://huggingface.co/google/gemma-2-27b) | 2x a40 | - tokens/s | - tokens/s |
 | [`gemma-2-27b-it`](https://huggingface.co/google/gemma-2-27b-it) | 2x a40 | - tokens/s | - tokens/s |
 
-## [LLaVa-1.5](https://huggingface.co/collections/llava-hf/llava-15-65f762d5b6941db5c2ba07e0)
-
-| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
-|:----------:|:----------:|:----------:|:----------:|
-|[`llava-1.5-7b-hf`](https://huggingface.co/llava-hf/llava-1.5-7b-hf)| 1x a40 | - tokens/s | - tokens/s |
-|[`llava-1.5-13b-hf`](https://huggingface.co/llava-hf/llava-1.5-13b-hf)| 1x a40 | - tokens/s | - tokens/s |
-
-## [LLaVa-NeXT](https://huggingface.co/collections/llava-hf/llava-next-65f75c4afac77fd37dbbe6cf)
-
-| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
-|:----------:|:----------:|:----------:|:----------:|
-|[`llava-v1.6-mistral-7b-hf`](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf)| 1x a40 | - tokens/s | - tokens/s |
-|[`llava-v1.6-34b-hf`](https://huggingface.co/llava-hf/llava-v1.6-34b-hf)| 2x a40 | - tokens/s | - tokens/s |
-
-## [Meta: Llama 2](https://huggingface.co/collections/meta-llama/llama-2-family-661da1f90a9d678b6f55773b)
+### [Meta: Llama 2](https://huggingface.co/collections/meta-llama/llama-2-family-661da1f90a9d678b6f55773b)
 
 | Variant | Suggested resource allocation |
 |:----------:|:----------:|
@@ -60,7 +50,7 @@ More profiling metrics coming soon!
 | [`Llama-2-70b-hf`](https://huggingface.co/meta-llama/Llama-2-70b-hf) | 4x a40 |
 | [`Llama-2-70b-chat-hf`](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) | 4x a40 |
 
-## [Meta: Llama 3](https://huggingface.co/collections/meta-llama/meta-llama-3-66214712577ca38149ebb2b6)
+### [Meta: Llama 3](https://huggingface.co/collections/meta-llama/meta-llama-3-66214712577ca38149ebb2b6)
 
 | Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
@@ -69,7 +59,7 @@ More profiling metrics coming soon!
 | [`Meta-Llama-3-70B`](https://huggingface.co/meta-llama/Meta-Llama-3-70B) | 4x a40 | 81 tokens/s | 618 tokens/s |
 | [`Meta-Llama-3-70B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | 4x a40 | 301 tokens/s | 660 tokens/s |
 
-## [Meta: Llama 3.1](https://huggingface.co/collections/meta-llama/llama-31-669fc079a0c406a149a5738f)
+### [Meta: Llama 3.1](https://huggingface.co/collections/meta-llama/llama-31-669fc079a0c406a149a5738f)
 
 | Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
@@ -79,28 +69,135 @@ More profiling metrics coming soon!
 | [`Meta-Llama-3.1-70B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | 4x a40 | - tokens/s | - tokens/s |
 | [`Meta-Llama-3.1-405B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) | 32x a40 (8 nodes, 4 a40/node) | - tokens/s | - tokens/s |
 
-## [Mistral AI: Mistral](https://huggingface.co/mistralai)
+### [Meta: Llama 3.2](https://huggingface.co/collections/meta-llama/llama-32-66f448ffc8c32f949b04c8cf)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Llama-3.2-1B`](https://huggingface.co/meta-llama/Llama-3.2-1B) | 1x a40 | - tokens/s | - tokens/s |
+| [`Llama-3.2-1B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+| [`Llama-3.2-3B`](https://huggingface.co/meta-llama/Llama-3.2-3B) | 1x a40 | - tokens/s | - tokens/s |
+| [`Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+
+### [Mistral AI: Mistral](https://huggingface.co/mistralai)
 
 | Variant (Mistral) | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
-|[`Mistral-7B-v0.1`](https://huggingface.co/mistralai/Mistral-7B-v0.1)| 1x a40 | - tokens/s | - tokens/s|
-|[`Mistral-7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)| 1x a40 | - tokens/s | - tokens/s|
-|[`Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-v0.2)| 1x a40 | - tokens/s | - tokens/s|
-|[`Mistral-7B-v0.3`](https://huggingface.co/mistralai/Mistral-7B-v0.3)| 1x a40 | - tokens/s | - tokens/s |
-|[`Mistral-7B-Instruct-v0.3`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)| 1x a40 | - tokens/s | - tokens/s|
-|[`Mistral-Large-Instruct-2407`](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407)| 8x a40 (2 nodes, 4 a40/node) | - tokens/s | - tokens/s|
+| [`Mistral-7B-v0.1`](https://huggingface.co/mistralai/Mistral-7B-v0.1) | 1x a40 | - tokens/s | - tokens/s|
+| [`Mistral-7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) | 1x a40 | - tokens/s | - tokens/s|
+| [`Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-v0.2) | 1x a40 | - tokens/s | - tokens/s|
+| [`Mistral-7B-v0.3`](https://huggingface.co/mistralai/Mistral-7B-v0.3) | 1x a40 | - tokens/s | - tokens/s |
+| [`Mistral-7B-Instruct-v0.3`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) | 1x a40 | - tokens/s | - tokens/s|
+| [`Mistral-Large-Instruct-2407`](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407) | 8x a40 (2 nodes, 4 a40/node) | - tokens/s | - tokens/s|
+| [`Mistral-Large-Instruct-2411`](https://huggingface.co/mistralai/Mistral-Large-Instruct-2411) | 8x a40 (2 nodes, 4 a40/node) | - tokens/s | - tokens/s|
 
-## [Mistral AI: Mixtral](https://huggingface.co/mistralai)
+### [Mistral AI: Mixtral](https://huggingface.co/mistralai)
 
 | Variant (Mixtral) | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
-|[`Mixtral-8x7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)| 4x a40 | 222 tokens/s | 1543 tokens/s |
-|[`Mixtral-8x22B-v0.1`](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1)| 8x a40 (2 nodes, 4 a40/node) | 145 tokens/s | 827 tokens/s|
-|[`Mixtral-8x22B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1)| 8x a40 (2 nodes, 4 a40/node) | 95 tokens/s | 803 tokens/s|
+| [`Mixtral-8x7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) | 4x a40 | 222 tokens/s | 1543 tokens/s |
+| [`Mixtral-8x22B-v0.1`](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1) | 8x a40 (2 nodes, 4 a40/node) | 145 tokens/s | 827 tokens/s|
+| [`Mixtral-8x22B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1) | 8x a40 (2 nodes, 4 a40/node) | 95 tokens/s | 803 tokens/s|
 
-## [Microsoft: Phi 3](https://huggingface.co/collections/microsoft/phi-3-6626e15e9585a200d2d761e3)
+### [Microsoft: Phi 3](https://huggingface.co/collections/microsoft/phi-3-6626e15e9585a200d2d761e3)
 
 | Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
 |:----------:|:----------:|:----------:|:----------:|
 | [`Phi-3-medium-128k-instruct`](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) | 2x a40 | - tokens/s | - tokens/s |
+
+### [Aaditya Ura: Llama3-OpenBioLLM](https://huggingface.co/aaditya/Llama3-OpenBioLLM-70B)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Llama3-OpenBioLLM-70B`](https://huggingface.co/aaditya/Llama3-OpenBioLLM-70B) | 4x a40 | - tokens/s | - tokens/s |
+
+### [Nvidia: Llama-3.1-Nemotron](https://huggingface.co/collections/nvidia/llama-31-nemotron-70b-670e93cd366feea16abc13d8)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Llama-3.1-Nemotron-70B-Instruct-HF`](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF) | 4x a40 | - tokens/s | - tokens/s |
+
+### [Qwen: Qwen2.5](https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Qwen2.5-0.5B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+| [`Qwen2.5-1.5B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+| [`Qwen2.5-3B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+| [`Qwen2.5-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+| [`Qwen2.5-14B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+| [`Qwen2.5-32B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) | 2x a40 | - tokens/s | - tokens/s |
+| [`Qwen2.5-72B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) | 4x a40 | - tokens/s | - tokens/s |
+
+### [Qwen: Qwen2.5-Math](https://huggingface.co/collections/Qwen/qwen25-math-66eaa240a1b7d5ee65f1da3e)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Qwen2.5-1.5B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+| [`Qwen2.5-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+| [`Qwen2.5-72B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct) | 4x a40 | - tokens/s | - tokens/s |
+
+### [Qwen: Qwen2.5-Coder](https://huggingface.co/collections/Qwen/qwen25-coder-66eaa22e6f99801bf65b0c2f)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Qwen2.5-Coder-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) | 1x a40 | - tokens/s | - tokens/s |
+
+### [Qwen: QwQ](https://huggingface.co/collections/Qwen/qwq-674762b79b75eac01735070a)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`QwQ-32B-Preview`](https://huggingface.co/Qwen/QwQ-32B-Preview) | 2x a40 | - tokens/s | - tokens/s |
+
+## Vision Language Models
+
+### [LLaVa-1.5](https://huggingface.co/collections/llava-hf/llava-15-65f762d5b6941db5c2ba07e0)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`llava-1.5-7b-hf`](https://huggingface.co/llava-hf/llava-1.5-7b-hf) | 1x a40 | - tokens/s | - tokens/s |
+| [`llava-1.5-13b-hf`](https://huggingface.co/llava-hf/llava-1.5-13b-hf) | 1x a40 | - tokens/s | - tokens/s |
+
+### [LLaVa-NeXT](https://huggingface.co/collections/llava-hf/llava-next-65f75c4afac77fd37dbbe6cf)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`llava-v1.6-mistral-7b-hf`](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) | 1x a40 | - tokens/s | - tokens/s |
+| [`llava-v1.6-34b-hf`](https://huggingface.co/llava-hf/llava-v1.6-34b-hf) | 2x a40 | - tokens/s | - tokens/s |
+
+### [Microsoft: Phi 3](https://huggingface.co/collections/microsoft/phi-3-6626e15e9585a200d2d761e3)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
 | [`Phi-3-vision-128k-instruct`](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct) | 2x a40 | - tokens/s | - tokens/s |
+
+### [Meta: Llama 3.2](https://huggingface.co/collections/meta-llama/llama-32-66f448ffc8c32f949b04c8cf)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Llama-3.2-11B-Vision`](https://huggingface.co/meta-llama/Llama-3.2-1B) | 2x a40 | - tokens/s | - tokens/s |
+| [`Llama-3.2-11B-Vision-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) | 2x a40 | - tokens/s | - tokens/s |
+| [`Llama-3.2-90B-Vision`](https://huggingface.co/meta-llama/Llama-3.2-3B) | 8x a40 (2 nodes, 4 a40/node) | - tokens/s | - tokens/s |
+| [`Llama-3.2-90B-Vision-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) | 8x a40 (2 nodes, 4 a40/node) | - tokens/s | - tokens/s |
+
+**NOTE**: `MllamaForConditionalGeneration` currently doesn't support pipeline parallelsim, to save memory, maximum number of requests is reduced and enforce eager mode is on.
+
+### [Mistral: Pixtral](https://huggingface.co/mistralai)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Pixtral-12B-2409`](https://huggingface.co/mistralai/Pixtral-12B-2409) | 1x a40 | - tokens/s | - tokens/s |
+
+## Text Embedding Models
+
+### [Liang Wang: e5](https://huggingface.co/intfloat)
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`e5-mistral-7b-instruct`](https://huggingface.co/intfloat/e5-mistral-7b-instruct) | 1x a40 | - tokens/s | - tokens/s |
+
+## Reward Modeling Models
+
+### [Qwen: Qwen2.5-Math](https://huggingface.co/collections/Qwen/qwen25-math-66eaa240a1b7d5ee65f1da3e)
+
+| Variant | Suggested resource allocation | Avg prompt throughput | Avg generation throughput |
+|:----------:|:----------:|:----------:|:----------:|
+| [`Qwen2.5-Math-RM-72B`](https://huggingface.co/Qwen/Qwen2.5-Math-RM-72B) | 4x a40 | - tokens/s | - tokens/s |