diff --git a/poetry.lock b/poetry.lock
index cfd023f..6e349f7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -8,15 +8,15 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "accelerate"
-version = "0.33.0"
+version = "0.27.0"
 description = "Accelerate"
 category = "main"
 optional = false
 python-versions = ">=3.8.0"
 
 [package.dependencies]
-huggingface-hub = ">=0.21.0"
-numpy = ">=1.17,<2.0.0"
+huggingface-hub = "*"
+numpy = ">=1.17"
 packaging = ">=20.0"
 psutil = "*"
 pyyaml = "*"
@@ -24,15 +24,14 @@ safetensors = ">=0.3.1"
 torch = ">=1.10.0"
 
 [package.extras]
-deepspeed = ["deepspeed (<=0.14.0)"]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed (<0.13.0)", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.1.15,<0.2.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.1.15,<0.2.0)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
-test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
+test-dev = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
 test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
-testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+testing = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -446,6 +445,25 @@ python-versions = ">=3.7"
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "3.0.0"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[[package]]
+name = "cmake"
+version = "3.30.2"
+description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
+category = "main"
+optional = true
+python-versions = ">=3.7"
+
+[package.extras]
+test = ["coverage (>=4.2)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)"]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -536,6 +554,39 @@ category = "main"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "deepspeed"
+version = "0.12.0"
+description = "DeepSpeed library"
+category = "main"
+optional = true
+python-versions = "*"
+
+[package.dependencies]
+hjson = "*"
+ninja = "*"
+numpy = "*"
+packaging = ">=20.0"
+psutil = "*"
+py-cpuinfo = "*"
+pydantic = "*"
+pynvml = "*"
+torch = "*"
+tqdm = "*"
+
+[package.extras]
+1bit-mpi = ["mpi4py"]
+all = ["accelerate", "autodoc_pydantic", "clang-format (==16.0.2)", "coverage", "deepspeed-kernels", "diffusers", "docutils (<0.18)", "future", "google", "hjson", "importlib-metadata (>=4)", "lm-eval (==0.3.0)", "mpi4py", "mup", "neural-compressor (==2.1.0)", "packaging", "pre-commit (>=2.20.0)", "protobuf", "psutil", "py-cpuinfo", "pydantic (<2.0.0)", "pytest", "pytest-forked", "pytest-randomly", "pytest-xdist", "recommonmark", "sphinx", "sphinx-rtd-theme", "sphinx_rtd_theme", "tabulate", "tensorboard", "torch", "torchvision", "tqdm", "transformers", "transformers[sentencepiece]", "triton (==1.0.0)", "triton (==2.0.0.dev20221202)", "triton (>=2.1.0)", "wandb", "xgboost"]
+autotuning = ["tabulate"]
+autotuning-ml = ["hjson", "tabulate", "xgboost"]
+dev = ["accelerate", "clang-format (==16.0.2)", "coverage", "deepspeed-kernels", "docutils (<0.18)", "future", "importlib-metadata (>=4)", "mup", "pre-commit (>=2.20.0)", "pytest", "pytest-forked", "pytest-randomly", "pytest-xdist", "recommonmark", "sphinx", "sphinx-rtd-theme", "tensorboard", "torchvision", "transformers", "wandb"]
+inf = ["google", "lm-eval (==0.3.0)", "protobuf", "transformers", "transformers[sentencepiece]"]
+readthedocs = ["autodoc_pydantic", "docutils (<0.18)", "hjson", "packaging", "psutil", "py-cpuinfo", "pydantic (<2.0.0)", "recommonmark", "sphinx_rtd_theme", "torch", "tqdm"]
+sd = ["diffusers", "triton (==2.0.0.dev20221202)"]
+sparse = ["neural-compressor (==2.1.0)"]
+sparse-attn = ["triton (==1.0.0)"]
+triton = ["triton (>=2.1.0)"]
+
 [[package]]
 name = "defusedxml"
 version = "0.7.1"
@@ -556,6 +607,14 @@ python-versions = ">=3.8"
 graph = ["objgraph (>=1.7.2)"]
 profile = ["gprof2dot (>=2022.7.29)"]
 
+[[package]]
+name = "diskcache"
+version = "5.6.3"
+description = "Disk Cache -- Disk and file backed persistent cache."
+category = "main"
+optional = true
+python-versions = ">=3"
+
 [[package]]
 name = "docker-pycreds"
 version = "0.4.0"
@@ -640,6 +699,31 @@ python-versions = ">=3.5"
 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
+[[package]]
+name = "faiss-gpu"
+version = "1.7.2"
+description = "A library for efficient similarity search and clustering of dense vectors."
+category = "main"
+optional = true
+python-versions = "*"
+
+[[package]]
+name = "fastapi"
+version = "0.112.2"
+description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.dependencies]
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
+starlette = ">=0.37.2,<0.39.0"
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
+
 [[package]]
 name = "fastjsonschema"
 version = "2.20.0"
@@ -798,6 +882,14 @@ category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "hjson"
+version = "3.1.0"
+description = "Hjson, a user interface for JSON."
+category = "main"
+optional = true
+python-versions = "*"
+
 [[package]]
 name = "httpcore"
 version = "1.0.5"
@@ -816,6 +908,17 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (>=1.0.0,<2.0.0)"]
 trio = ["trio (>=0.22.0,<0.26.0)"]
 
+[[package]]
+name = "httptools"
+version = "0.6.1"
+description = "A collection of framework independent HTTP protocol utils."
+category = "main"
+optional = true
+python-versions = ">=3.8.0"
+
+[package.extras]
+test = ["Cython (>=0.29.24,<0.30.0)"]
+
 [[package]]
 name = "httpx"
 version = "0.27.0"
@@ -942,6 +1045,14 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "interegular"
+version = "0.3.3"
+description = "a regex intersection checker"
+category = "main"
+optional = true
+python-versions = ">=3.7"
+
 [[package]]
 name = "iopath"
 version = "0.1.10"
@@ -1449,6 +1560,20 @@ pydantic = [
 ]
 requests = ">=2,<3"
 
+[[package]]
+name = "lark"
+version = "1.2.2"
+description = "a modern parsing library"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.extras]
+atomic-cache = ["atomicwrites"]
+interegular = ["interegular (>=0.3.1,<0.4.0)"]
+nearley = ["js2py"]
+regex = ["regex"]
+
 [[package]]
 name = "lazy-loader"
 version = "0.4"
@@ -1473,6 +1598,14 @@ category = "dev"
 optional = false
 python-versions = ">=3.8"
 
+[[package]]
+name = "llvmlite"
+version = "0.43.0"
+description = "lightweight wrapper around basic LLVM functionality"
+category = "main"
+optional = true
+python-versions = ">=3.9"
+
 [[package]]
 name = "loguru"
 version = "0.7.2"
@@ -1537,6 +1670,14 @@ docs = ["sphinx"]
 gmpy = ["gmpy2 (>=2.1.0a4)"]
 tests = ["pytest (>=4.6)"]
 
+[[package]]
+name = "msgpack"
+version = "1.0.8"
+description = "MessagePack serializer"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
 [[package]]
 name = "multidict"
 version = "6.0.5"
@@ -1677,6 +1818,17 @@ doc = ["myst-nb (>=1.0)", "numpydoc (>=1.7)", "pillow (>=9.4)", "pydata-sphinx-t
 extra = ["lxml (>=4.6)", "pydot (>=2.0)", "pygraphviz (>=1.12)", "sympy (>=1.10)"]
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
+[[package]]
+name = "ninja"
+version = "1.11.1.1"
+description = "Ninja is a small build system with a focus on speed"
+category = "main"
+optional = true
+python-versions = "*"
+
+[package.extras]
+test = ["codecov (>=2.0.5)", "coverage (>=4.2)", "flake8 (>=3.0.4)", "pytest (>=4.5.0)", "pytest-cov (>=2.7.1)", "pytest-runner (>=5.1)", "pytest-virtualenv (>=1.7.0)", "virtualenv (>=15.0.3)"]
+
 [[package]]
 name = "nltk"
 version = "3.9.1"
@@ -1733,6 +1885,18 @@ jupyter-server = ">=1.8,<3"
 [package.extras]
 test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"]
 
+[[package]]
+name = "numba"
+version = "0.60.0"
+description = "compiling Python code using LLVM"
+category = "main"
+optional = true
+python-versions = ">=3.9"
+
+[package.dependencies]
+llvmlite = ">=0.43.0dev0,<0.44"
+numpy = ">=1.22,<2.1"
+
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -1741,6 +1905,113 @@ category = "main"
 optional = false
 python-versions = ">=3.9"
 
+[[package]]
+name = "nvidia-cublas-cu12"
+version = "12.1.3.1"
+description = "CUBLAS native runtime libraries"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[[package]]
+name = "nvidia-cuda-cupti-cu12"
+version = "12.1.105"
+description = "CUDA profiling tools runtime libs."
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[[package]]
+name = "nvidia-cuda-nvrtc-cu12"
+version = "12.1.105"
+description = "NVRTC native runtime libraries"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[[package]]
+name = "nvidia-cuda-runtime-cu12"
+version = "12.1.105"
+description = "CUDA Runtime native Libraries"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[[package]]
+name = "nvidia-cudnn-cu12"
+version = "8.9.2.26"
+description = "cuDNN runtime libraries"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[package.dependencies]
+nvidia-cublas-cu12 = "*"
+
+[[package]]
+name = "nvidia-cufft-cu12"
+version = "11.0.2.54"
+description = "CUFFT native runtime libraries"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[[package]]
+name = "nvidia-curand-cu12"
+version = "10.3.2.106"
+description = "CURAND native runtime libraries"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[[package]]
+name = "nvidia-cusolver-cu12"
+version = "11.4.5.107"
+description = "CUDA solver native runtime libraries"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[package.dependencies]
+nvidia-cublas-cu12 = "*"
+nvidia-cusparse-cu12 = "*"
+nvidia-nvjitlink-cu12 = "*"
+
+[[package]]
+name = "nvidia-cusparse-cu12"
+version = "12.1.0.106"
+description = "CUSPARSE native runtime libraries"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[package.dependencies]
+nvidia-nvjitlink-cu12 = "*"
+
+[[package]]
+name = "nvidia-nccl-cu12"
+version = "2.18.1"
+description = "NVIDIA Collective Communication Library (NCCL) Runtime"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[[package]]
+name = "nvidia-nvjitlink-cu12"
+version = "12.6.20"
+description = "Nvidia JIT LTO Library"
+category = "main"
+optional = false
+python-versions = ">=3"
+
+[[package]]
+name = "nvidia-nvtx-cu12"
+version = "12.1.105"
+description = "NVIDIA Tools Extension"
+category = "main"
+optional = false
+python-versions = ">=3"
+
 [[package]]
 name = "opencv-python"
 version = "4.10.0.84"
@@ -1787,6 +2058,36 @@ category = "main"
 optional = false
 python-versions = ">=3.8"
 
+[[package]]
+name = "outlines"
+version = "0.0.34"
+description = "Probabilistic Generative Model Programming"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.dependencies]
+cloudpickle = "*"
+diskcache = "*"
+interegular = "*"
+jinja2 = "*"
+joblib = "*"
+jsonschema = "*"
+lark = "*"
+nest-asyncio = "*"
+numba = "*"
+numpy = "*"
+pydantic = ">=2.0"
+referencing = "*"
+requests = "*"
+scipy = "*"
+torch = ">=2.1.0"
+transformers = "*"
+
+[package.extras]
+serve = ["fastapi", "pydantic (>=2.0)", "ray (==2.9.0)", "uvicorn", "vllm (>=0.3.0)"]
+test = ["accelerate", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "huggingface-hub", "llama-cpp-python (>=0.2.42)", "pre-commit", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "responses", "transformers"]
+
 [[package]]
 name = "overrides"
 version = "3.1.0"
@@ -2046,6 +2347,14 @@ python-versions = "*"
 [package.extras]
 tests = ["pytest"]
 
+[[package]]
+name = "py-cpuinfo"
+version = "9.0.0"
+description = "Get CPU info with pure Python"
+category = "main"
+optional = true
+python-versions = "*"
+
 [[package]]
 name = "pyarrow"
 version = "17.0.0"
@@ -2203,6 +2512,14 @@ typing-extensions = "*"
 wrapt = "*"
 zipp = "*"
 
+[[package]]
+name = "pynvml"
+version = "11.5.0"
+description = "Python Bindings for the NVIDIA Management Library"
+category = "main"
+optional = true
+python-versions = ">=3.6"
+
 [[package]]
 name = "pyparsing"
 version = "3.1.4"
@@ -2362,6 +2679,40 @@ packaging = "*"
 [package.extras]
 test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"]
 
+[[package]]
+name = "ray"
+version = "2.34.0"
+description = "Ray provides a simple, universal API for building distributed applications."
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.dependencies]
+aiosignal = "*"
+click = ">=7.0"
+filelock = "*"
+frozenlist = "*"
+jsonschema = "*"
+msgpack = ">=1.0.0,<2.0.0"
+packaging = "*"
+protobuf = ">=3.15.3,<3.19.5 || >3.19.5"
+pyyaml = "*"
+requests = "*"
+
+[package.extras]
+air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.0 || >=2.5.0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "dm-tree", "fastapi", "fsspec", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==0.28.1)", "lz4", "memray", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.0 || >=2.5.0,<3)", "pyyaml", "ray-cpp (==2.34.0)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+client = ["grpcio (!=1.56.0)"]
+cpp = ["ray-cpp (==2.34.0)"]
+data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"]
+default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.0 || >=2.5.0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
+observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
+rllib = ["dm-tree", "fsspec", "gymnasium (==0.28.1)", "lz4", "pandas", "pyarrow (>=6.0.1)", "pyyaml", "requests", "rich", "scikit-image", "scipy", "tensorboardX (>=1.9)", "typer"]
+serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.0 || >=2.5.0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.0 || >=2.5.0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+train = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
+tune = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
+
 [[package]]
 name = "referencing"
 version = "0.35.1"
@@ -2717,6 +3068,20 @@ pure-eval = "*"
 [package.extras]
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
+[[package]]
+name = "starlette"
+version = "0.38.2"
+description = "The little ASGI library that shines."
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.dependencies]
+anyio = ">=3.4.0,<5"
+
+[package.extras]
+full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
+
 [[package]]
 name = "sympy"
 version = "1.13.2"
@@ -2810,6 +3175,21 @@ test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "l
 xml = ["defusedxml", "lxml"]
 zarr = ["fsspec", "zarr"]
 
+[[package]]
+name = "tiktoken"
+version = "0.6.0"
+description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.dependencies]
+regex = ">=2022.1.18"
+requests = ">=2.26.0"
+
+[package.extras]
+blobfile = ["blobfile (>=2)"]
+
 [[package]]
 name = "timm"
 version = "0.9.16"
@@ -2874,7 +3254,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "torch"
-version = "2.1.0"
+version = "2.1.2"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 category = "main"
 optional = false
@@ -2885,26 +3265,39 @@ 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-cudnn-cu12 = {version = "8.9.2.26", 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 = "2.18.1", 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 = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 typing-extensions = "*"
 
 [package.extras]
+dynamo = ["jinja2"]
 opt-einsum = ["opt-einsum (>=3.3)"]
 
 [[package]]
 name = "torchaudio"
-version = "2.1.0"
+version = "2.1.2"
 description = "An audio package for PyTorch"
 category = "main"
 optional = false
 python-versions = "*"
 
 [package.dependencies]
-torch = "2.1.0"
+torch = "2.1.2"
 
 [[package]]
 name = "torchvision"
-version = "0.16.0"
+version = "0.16.2"
 description = "image and video datasets and models for torch deep learning"
 category = "main"
 optional = false
@@ -2914,7 +3307,7 @@ python-versions = ">=3.8"
 numpy = "*"
 pillow = ">=5.3.0,<8.3.0 || >=8.4.0"
 requests = "*"
-torch = "2.1.0"
+torch = "2.1.2"
 
 [package.extras]
 scipy = ["scipy"]
@@ -3021,6 +3414,22 @@ torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata",
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
+[[package]]
+name = "triton"
+version = "2.1.0"
+description = "A language and compiler for custom Deep Learning operations"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+filelock = "*"
+
+[package.extras]
+build = ["cmake (>=3.18)", "lit"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
+tutorials = ["matplotlib", "pandas", "tabulate"]
+
 [[package]]
 name = "typer"
 version = "0.9.4"
@@ -3107,6 +3516,70 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "uvicorn"
+version = "0.30.6"
+description = "The lightning-fast ASGI server."
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.dependencies]
+click = ">=7.0"
+colorama = {version = ">=0.4", optional = true, markers = "sys_platform == \"win32\" and extra == \"standard\""}
+h11 = ">=0.8"
+httptools = {version = ">=0.5.0", optional = true, markers = "extra == \"standard\""}
+python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
+typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
+websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
+
+[package.extras]
+standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+
+[[package]]
+name = "uvloop"
+version = "0.20.0"
+description = "Fast implementation of asyncio event loop on top of libuv"
+category = "main"
+optional = true
+python-versions = ">=3.8.0"
+
+[package.extras]
+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)"]
+test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"]
+
+[[package]]
+name = "vllm"
+version = "0.4.0.post1"
+description = "A high-throughput and memory-efficient inference and serving engine for LLMs"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.dependencies]
+cmake = ">=3.21"
+fastapi = "*"
+ninja = "*"
+numpy = "*"
+outlines = "0.0.34"
+prometheus-client = ">=0.18.0"
+psutil = "*"
+py-cpuinfo = "*"
+pydantic = ">=2.0"
+pynvml = "11.5.0"
+ray = ">=2.9"
+requests = "*"
+sentencepiece = "*"
+tiktoken = "0.6.0"
+torch = "2.1.2"
+transformers = ">=4.39.1"
+triton = ">=2.1.0"
+uvicorn = {version = "*", extras = ["standard"]}
+xformers = "0.0.23.post1"
+
 [[package]]
 name = "wandb"
 version = "0.15.12"
@@ -3142,6 +3615,17 @@ nexus = ["wandb-core (>=0.16.0b1)"]
 perf = ["orjson"]
 sweeps = ["sweeps (>=0.2.0)"]
 
+[[package]]
+name = "watchfiles"
+version = "0.23.0"
+description = "Simple, modern and high performance file watching and code reload in python."
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
+[package.dependencies]
+anyio = ">=3.0.0"
+
 [[package]]
 name = "wcwidth"
 version = "0.2.13"
@@ -3183,6 +3667,14 @@ docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
+[[package]]
+name = "websockets"
+version = "13.0"
+description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
+category = "main"
+optional = true
+python-versions = ">=3.8"
+
 [[package]]
 name = "wheel"
 version = "0.42.0"
@@ -3221,6 +3713,18 @@ category = "dev"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "xformers"
+version = "0.0.23.post1"
+description = "XFormers: A collection of composable Transformer building blocks."
+category = "main"
+optional = true
+python-versions = ">=3.7"
+
+[package.dependencies]
+numpy = "*"
+torch = "2.1.2"
+
 [[package]]
 name = "xxhash"
 version = "3.5.0"
@@ -3265,13 +3769,13 @@ doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linke
 test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [extras]
-deepspeed = []
-gpu = []
+deepspeed = ["deepspeed", "accelerate"]
+gpu = ["faiss-gpu", "xformers", "vllm"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.10"
-content-hash = "f10e9a027ce988d23f97cde8fc77f59741f2615970c9275654094717fd53bb71"
+content-hash = "5b1a01ac9b1930fa3667de360f6aad356bee12cab56816d0dd678ca0a69d87c5"
 
 [metadata.files]
 absl-py = [
@@ -3279,8 +3783,8 @@ absl-py = [
     {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
 ]
 accelerate = [
-    {file = "accelerate-0.33.0-py3-none-any.whl", hash = "sha256:0a7f33d60ba09afabd028d4f0856dd19c5a734b7a596d637d9dd6e3d0eadbaf3"},
-    {file = "accelerate-0.33.0.tar.gz", hash = "sha256:11ba481ed6ea09191775df55ce464aeeba67a024bd0261a44b77b30fb439e26a"},
+    {file = "accelerate-0.27.0-py3-none-any.whl", hash = "sha256:87eb754a1600a63d6fdbf8683603800388544456bfbdaaf622b89458005937de"},
+    {file = "accelerate-0.27.0.tar.gz", hash = "sha256:8e8e34695dc34f6294d4209a617d5f934c9f88a3f26067aeee18e0568d3277a3"},
 ]
 aiohappyeyeballs = [
     {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
@@ -3734,6 +4238,29 @@ click = [
     {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
     {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
 ]
+cloudpickle = [
+    {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
+    {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
+]
+cmake = [
+    {file = "cmake-3.30.2-py3-none-macosx_11_0_universal2.macosx_10_10_x86_64.macosx_11_0_arm64.whl", hash = "sha256:e706eded76e0e8b09d2cf09cbab0a930f6550084a85950982b7c53f6a79a0451"},
+    {file = "cmake-3.30.2-py3-none-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:48e0998068d785d3b78cc60a7e3d38fd71cfb942ce0a72ee046de38ec2bd6523"},
+    {file = "cmake-3.30.2-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:709568c04f60f6dbee846a997a774ae28e12e809b4cbb12b6cd00767c111ede0"},
+    {file = "cmake-3.30.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d0b29a92cf31c54ab21040e84a78420abbf59cdd73c30d05e0e70229b2e9348"},
+    {file = "cmake-3.30.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6021b64ec6ddf43ff5887e510f897468a281f1822feedf48edf86926288a48a7"},
+    {file = "cmake-3.30.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:27f9f8b8a442d489cf4ae5dae1e475430979e9fcfbaef5fd0810aac4206548a9"},
+    {file = "cmake-3.30.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fe4f48bb96fadef92697ccaeb98b22ff36b3add80e45ce48e0c67462846fd242"},
+    {file = "cmake-3.30.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9beca135489d56a89cf54cf3d324bcf8dd6c50cc9bdb76b9a97e8540935797b2"},
+    {file = "cmake-3.30.2-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:02657456811a8dd95d07728e0878ee6e09d0466de84319513af99490beefe753"},
+    {file = "cmake-3.30.2-py3-none-musllinux_1_1_i686.whl", hash = "sha256:ee421b9531279b88e54c4bd3ff41c538d1f563e75b1340a8eb2569c38949d230"},
+    {file = "cmake-3.30.2-py3-none-musllinux_1_1_ppc64le.whl", hash = "sha256:806d3295c75ae4f9bd53100b4cdd17c00b41e1606a6cff6faf1f599fdace7d71"},
+    {file = "cmake-3.30.2-py3-none-musllinux_1_1_s390x.whl", hash = "sha256:b58b658f3ea47b1b6deb8fab817bf68a9c7f00fde514ad344b9cef16d684206a"},
+    {file = "cmake-3.30.2-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:fef0b8a18a6376ff430e86bedcccb4018b344295a17584aaebf1b7339c92f505"},
+    {file = "cmake-3.30.2-py3-none-win32.whl", hash = "sha256:977acfb5256e29bc9e14004a2350a7f8bb6a2c5d42ad74183fb64275b99af2fa"},
+    {file = "cmake-3.30.2-py3-none-win_amd64.whl", hash = "sha256:894214560a6d70af6e88d8506f41f6911c31757a7799eced3322ca1fc4c76e4a"},
+    {file = "cmake-3.30.2-py3-none-win_arm64.whl", hash = "sha256:33e6ce72a4865b25f7f61e40e634382a7cfbe494785ce3c0aa94475b5e0f9252"},
+    {file = "cmake-3.30.2.tar.gz", hash = "sha256:54dba98c12c6b77bd86b452b71c7f7f3b04027081f3451e18cdf2d926e4695e5"},
+]
 colorama = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -3848,6 +4375,9 @@ decorator = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
+deepspeed = [
+    {file = "deepspeed-0.12.0.tar.gz", hash = "sha256:ee1047928451598ad9529314b5b5ae4a3f13d622eb87104c913a4e990e6a443d"},
+]
 defusedxml = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
     {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
@@ -3856,6 +4386,10 @@ dill = [
     {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
     {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
 ]
+diskcache = [
+    {file = "diskcache-5.6.3-py3-none-any.whl", hash = "sha256:5e31b2d5fbad117cc363ebaf6b689474db18a1f6438bc82358b024abd4c2ca19"},
+    {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
+]
 docker-pycreds = [
     {file = "docker-pycreds-0.4.0.tar.gz", hash = "sha256:6ce3270bcaf404cc4c3e27e4b6c70d3521deae82fb508767870fdbf772d584d4"},
     {file = "docker_pycreds-0.4.0-py2.py3-none-any.whl", hash = "sha256:7266112468627868005106ec19cd0d722702d2b7d5912a28e19b826c3d37af49"},
@@ -3880,6 +4414,17 @@ executing = [
     {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
     {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
 ]
+faiss-gpu = [
+    {file = "faiss_gpu-1.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c98abc1aac06cb4cb94de223b3186bd4a60d15fd3cae42271604168abc081ca5"},
+    {file = "faiss_gpu-1.7.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:38796433b2fe43f3a602be18668969af615a3a898e897366e6997b409b0deeab"},
+    {file = "faiss_gpu-1.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:040a413be699077931b781e470468c6b5084342c5d5773ce8d916f04b25d8c9c"},
+    {file = "faiss_gpu-1.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e85a6bc975b2f233eb056584f33bbce8613c453c9024c099052a423eebabee23"},
+    {file = "faiss_gpu-1.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ca9bfa2fda868f438a2f05c1d5aed53021bfaa55b25fd3ae666d2da201f3caf"},
+]
+fastapi = [
+    {file = "fastapi-0.112.2-py3-none-any.whl", hash = "sha256:db84b470bd0e2b1075942231e90e3577e12a903c4dc8696f0d206a7904a7af1c"},
+    {file = "fastapi-0.112.2.tar.gz", hash = "sha256:3d4729c038414d5193840706907a41839d839523da6ed0c2811f1168cac1798c"},
+]
 fastjsonschema = [
     {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"},
     {file = "fastjsonschema-2.20.0.tar.gz", hash = "sha256:3d48fc5300ee96f5d116f10fe6f28d938e6008f59a6a025c2649475b87f76a23"},
@@ -3998,10 +4543,52 @@ h11 = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
 ]
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+    {file = "xformers-0.0.23.post1-cp38-cp38-win_amd64.whl", hash = "sha256:aad762aebfe7ea3f6b9132afbf5ae88cdaf87d0c377d199dfee193e1a72d0d24"},
+    {file = "xformers-0.0.23.post1-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:a117e4cc835d9a19c653d79b5c66e37c72f713241e2d85b6561a15006f84b6e6"},
+    {file = "xformers-0.0.23.post1-cp39-cp39-win_amd64.whl", hash = "sha256:e08e4ebbd9fbfe9545de4028b7f604d21dc4e301dc651b3fc1bb95ae6797524f"},
+    {file = "xformers-0.0.23.post1.tar.gz", hash = "sha256:b443b158bd7b5275b485d2c6aee94ebc2152878fd784e379b1c8bcb1d67f3b81"},
+]
 xxhash = [
     {file = "xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212"},
     {file = "xxhash-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3171f693dbc2cef6477054a665dc255d996646b4023fe56cb4db80e26f4cc520"},
diff --git a/pyproject.toml b/pyproject.toml
index c040aff..24e2eef 100755
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,7 +15,7 @@ peft = "0.8.2"
 typer ="^0.9.0"
 wandb ="^0.15.3"
 scipy = "^1.1.0"
-torch = "2.1.0"
+torch = "2.1.2"
 numpy = "^1.21"
 tomlkit ="^0.11.8"
 platformdirs ="^3.5.3"
@@ -45,6 +45,13 @@ timm ="^0.9.7"
 opencv-python = "^4.10.0.84"
 langchain-huggingface = "^0.0.3"
 
+faiss-gpu = { version = "^1.7.2", optional = true }
+xformers = { version = "^0.0.23.post1", optional = true }
+vllm = { version = "^0.4.0.post1", optional = true }
+deepspeed = { version = "0.12", optional = true }
+accelerate = { version = "0.27", optional = true }
+
+
 [tool.poetry.dev-dependencies]
 coverage = "^7.2.7"
 pytest = "^7.3.2"
@@ -59,15 +66,8 @@ pydantic-core = "^2.18.2"
 annotated-types = "^0.6.0"
 
 [tool.poetry.extras]
-deepspeed = [
-    "deepspeed==0.12",
-    "accelerate==0.27"
-]
-gpu = [
-    "faiss-gpu>=1.7.2",
-    "xformers>=0.0.23.post1",
-    "vllm>=0.4.0.post1"
-]
+deepspeed = ["deepspeed", "accelerate"]
+gpu = ["faiss-gpu", "xformers", "vllm"]
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]