From c721c6a367dc3750a7b53d4bf42c80a16def1961 Mon Sep 17 00:00:00 2001
From: bghira <bghira@users.github.com>
Date: Mon, 30 Sep 2024 10:11:34 -0600
Subject: [PATCH] pull updates for dependencies from main

---
 install/apple/poetry.lock    |   26 +-
 install/apple/pyproject.toml |    1 +
 install/rocm/poetry.lock     |    4 +-
 poetry.lock                  | 2236 +++++++++++++++++++++++-----------
 pyproject.toml               |   24 +-
 5 files changed, 1559 insertions(+), 732 deletions(-)

diff --git a/install/apple/poetry.lock b/install/apple/poetry.lock
index 614c92fd..e70521e2 100644
--- a/install/apple/poetry.lock
+++ b/install/apple/poetry.lock
@@ -1184,7 +1184,7 @@ typing = ["mypy (>=1.0.0)", "types-setuptools"]
 
 [[package]]
 name = "lycoris_lora"
-version = "3.0.1.dev11"
+version = "3.0.1.dev13"
 description = "Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion"
 optional = false
 python-versions = ">=3.10"
@@ -1201,7 +1201,7 @@ tqdm = "*"
 type = "git"
 url = "https://github.com/kohakublueleaf/lycoris"
 reference = "dev"
-resolved_reference = "9b0e184fccdf937cb42854858b9be786ebffa24e"
+resolved_reference = "6bea3d061e3730c2274f7f9d035a2757a9b0fd7d"
 
 [[package]]
 name = "markdown"
@@ -3294,6 +3294,26 @@ dev = ["black (>=24.2.0)", "mkdocs-caption (>=1.0.0)", "mkdocs-material (>=9.4.7
 docs = ["black (>=24.2.0)", "mkdocs-caption (>=1.0.0)", "mkdocs-material (>=9.4.7)", "mkdocstrings (>=0.24.1)", "mkdocstrings-python (>=1.8.0)"]
 test = ["numpy (>=1.23)", "pytest (>=8.1.1)", "pytest-md (>=0.2.0)", "ruff (>=0.3.2)"]
 
+[[package]]
+name = "torchao"
+version = "0.5.0"
+description = "Package for applying ao techniques to GPU models"
+optional = false
+python-versions = "*"
+files = [
+    {file = "torchao-0.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6daff53790532d48e6b023bdd34030e8f87075f75f4206f3dd6577e6d99d7132"},
+    {file = "torchao-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:30a4c5c6ef7e3f5fa9a8dae3e2b9bb82c34d7c61a55f008e120303e22dd82cb6"},
+    {file = "torchao-0.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3b8be5c3dcb641688397501d55cab4804688c3d27bdb9f8e0abcba1f2810678e"},
+    {file = "torchao-0.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2aede6d89481ccda6bfd81f1666707765244de97697cb42b57c1001d9f928492"},
+    {file = "torchao-0.5.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d1dacb8b899d76ea97f166d421c16140016cebed2090f04b17eee7e15b69969a"},
+    {file = "torchao-0.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a14c6d5c6e8a1b03eded529bec9306f271ce59de43fa2e4699fd83f464bb5cd"},
+    {file = "torchao-0.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f3ed3c5a55609c0051d0e1b12a609f416d896afd2d6a5a1ac73ee14c0230801c"},
+    {file = "torchao-0.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:575974f5aea245cdb9ecc30b6d7385de043c3ac874f5b7701ceb5362e521b7f1"},
+]
+
+[package.extras]
+dev = ["bitsandbytes", "expecttest", "fire", "hypothesis", "matplotlib", "ninja", "packaging", "pandas", "parameterized", "pre-commit", "pytest (==7.4.0)", "ruff", "sentencepiece", "tabulate", "transformers", "unittest-xml-reporting"]
+
 [[package]]
 name = "torchmetrics"
 version = "1.4.1"
@@ -4146,4 +4166,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "82295db251d4b321c71129276385db89a8c91ed72db5d8142e92f7abc46ccf85"
+content-hash = "2f53e4d801bfcdb09650ba58aaa4edf50171f73e4aea46f83dc1503353734aba"
diff --git a/install/apple/pyproject.toml b/install/apple/pyproject.toml
index c79a5f18..eaa61e2e 100644
--- a/install/apple/pyproject.toml
+++ b/install/apple/pyproject.toml
@@ -43,6 +43,7 @@ lycoris-lora = {git = "https://github.com/kohakublueleaf/lycoris", rev = "dev"}
 fastapi = {extras = ["standard"], version = "^0.115.0"}
 deepspeed = "^0.15.1"
 sentencepiece = "^0.2.0"
+torchao = "^0.5.0"
 
 
 [build-system]
diff --git a/install/rocm/poetry.lock b/install/rocm/poetry.lock
index 4de75604..52b682fa 100644
--- a/install/rocm/poetry.lock
+++ b/install/rocm/poetry.lock
@@ -1169,7 +1169,7 @@ typing = ["mypy (>=1.0.0)", "types-setuptools"]
 
 [[package]]
 name = "lycoris_lora"
-version = "3.0.1.dev11"
+version = "3.0.1.dev13"
 description = "Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion"
 optional = false
 python-versions = ">=3.10"
@@ -1186,7 +1186,7 @@ tqdm = "*"
 type = "git"
 url = "https://github.com/kohakublueleaf/lycoris"
 reference = "dev"
-resolved_reference = "9b0e184fccdf937cb42854858b9be786ebffa24e"
+resolved_reference = "a3eceaf2bff728a51e16d8e32f269615d849ef2d"
 
 [[package]]
 name = "markdown"
diff --git a/poetry.lock b/poetry.lock
index efd28814..7c1a5a49 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -44,113 +44,113 @@ testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized",
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.0"
+version = "2.4.2"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
-    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+    {file = "aiohappyeyeballs-2.4.2-py3-none-any.whl", hash = "sha256:8522691d9a154ba1145b157d6d5c15e5c692527ce6a53c5e5f9876977f6dab2f"},
+    {file = "aiohappyeyeballs-2.4.2.tar.gz", hash = "sha256:4ca893e6c5c1f5bf3888b04cb5a3bee24995398efef6e0b9f747b5e89d84fd74"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.5"
+version = "3.10.8"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -160,7 +160,7 @@ async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+yarl = ">=1.12.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -192,13 +192,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
 ]
 
 [package.dependencies]
@@ -208,9 +208,9 @@ 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", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "async-timeout"
@@ -263,17 +263,17 @@ test = ["scipy"]
 
 [[package]]
 name = "boto3"
-version = "1.35.24"
+version = "1.35.29"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-botocore = ">=1.35.24,<1.36.0"
+botocore = ">=1.35.29,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -282,13 +282,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.24"
+version = "1.35.29"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -310,6 +310,96 @@ files = [
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 ]
 
+[[package]]
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+version = "1.17.1"
+description = "Foreign Function Interface for Python calling C code."
+optional = false
+python-versions = ">=3.8"
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+[package.dependencies]
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+[[package]]
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+version = "5.2.0"
+description = "Universal encoding detector for Python 3"
+optional = false
+python-versions = ">=3.7"
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 [[package]]
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 version = "3.3.2"
@@ -476,15 +566,34 @@ pyparsing = ">=3.0,<4.0"
 torch = "*"
 transformers = ">=4.25,<5.0"
 
+[[package]]
+name = "dataproperty"
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+description = "Python library for extract property from data."
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+
+[package.extras]
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+
 [[package]]
 name = "datasets"
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+version = "3.0.1"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -506,15 +615,15 @@ xxhash = "*"
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 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.6.0)"]
 tensorflow-gpu = ["tensorflow (>=2.6.0)"]
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 vision = ["Pillow (>=9.4.0)"]
 
@@ -657,6 +766,41 @@ files = [
 dnspython = ">=2.0.0"
 idna = ">=2.0.0"
 
+[[package]]
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+[package.dependencies]
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+huggingface-hub = ">=0.7.0"
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+tqdm = ">=4.62.1"
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+tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
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+
 [[package]]
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 version = "1.2.2"
@@ -717,18 +861,18 @@ standard = ["uvicorn[standard] (>=0.15.0)"]
 
 [[package]]
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 description = "A platform independent file lock."
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 python-versions = ">=3.8"
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 typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
@@ -907,61 +1051,70 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit",
 
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 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
-protobuf = ["grpcio-tools (>=1.66.1)"]
+protobuf = ["grpcio-tools (>=1.66.2)"]
 
 [[package]]
 name = "h11"
@@ -1081,13 +1234,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.7"
+version = "0.25.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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 python-versions = ">=3.8.0"
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@@ -1188,6 +1341,31 @@ files = [
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 ]
 
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+optional = false
+python-versions = ">=3.8"
+files = [
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+
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+optional = false
+python-versions = ">=3.8"
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+
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+
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 version = "0.11.7"
@@ -1209,9 +1387,216 @@ cli = ["fire"]
 docs = ["requests (>=2.0.0)"]
 typing = ["mypy (>=1.0.0)", "types-setuptools"]
 
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+optional = false
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+torch = ">=1.8"
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+word2number = "*"
+zstandard = "*"
+
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+wandb = ["numpy", "pandas", "wandb (>=0.16.3)"]
+zeno = ["pandas", "zeno-client"]
+
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+html-clean = ["lxml-html-clean"]
+html5 = ["html5lib"]
+htmlsoup = ["BeautifulSoup4"]
+source = ["Cython (>=3.0.11)"]
+
 [[package]]
 name = "lycoris_lora"
-version = "3.0.1.dev11"
+version = "3.0.1.dev14"
 description = "Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion"
 optional = false
 python-versions = ">=3.10"
@@ -1228,7 +1613,7 @@ tqdm = "*"
 type = "git"
 url = "https://github.com/kohakublueleaf/lycoris"
 reference = "dev"
-resolved_reference = "9b0e184fccdf937cb42854858b9be786ebffa24e"
+resolved_reference = "6bea3d061e3730c2274f7f9d035a2757a9b0fd7d"
 
 [[package]]
 name = "markdown"
@@ -1338,6 +1723,23 @@ files = [
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+[[package]]
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+description = "mbstrdecoder is a Python library for multi-byte character string decoder"
+optional = false
+python-versions = ">=3.7"
+files = [
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+
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+
+[package.extras]
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+
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -1349,6 +1751,17 @@ files = [
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+[[package]]
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+version = "10.5.0"
+description = "More routines for operating on iterables, beyond itertools"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -1539,6 +1952,72 @@ files = [
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 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]]
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+version = "3.9.1"
+description = "Natural Language Toolkit"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
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+joblib = "*"
+regex = ">=2021.8.3"
+tqdm = "*"
+
+[package.extras]
+all = ["matplotlib", "numpy", "pyparsing", "python-crfsuite", "requests", "scikit-learn", "scipy", "twython"]
+corenlp = ["requests"]
+machine-learning = ["numpy", "python-crfsuite", "scikit-learn", "scipy"]
+plot = ["matplotlib"]
+tgrep = ["pyparsing"]
+twitter = ["twython"]
+
+[[package]]
+name = "numexpr"
+version = "2.10.1"
+description = "Fast numerical expression evaluator for NumPy"
+optional = false
+python-versions = ">=3.9"
+files = [
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 [[package]]
 name = "open-clip-torch"
@@ -1804,7 +2157,7 @@ examples = ["accelerate", "datasets", "diffusers", "scipy", "sentencepiece", "to
 type = "git"
 url = "https://github.com/huggingface/optimum-quanto"
 reference = "HEAD"
-resolved_reference = "784b0cf609e4e04df1cb154e15a23ab33283fead"
+resolved_reference = "5f88400baec561a79cdb87311608981c17e4c368"
 
 [[package]]
 name = "packaging"
@@ -1902,6 +2255,22 @@ 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 = "pathvalidate"
+version = "3.2.1"
+description = "pathvalidate is a Python library to sanitize/validate a string such as filenames/file-paths/etc."
+optional = false
+python-versions = ">=3.7"
+files = [
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+test = ["Faker (>=1.0.8)", "allpairspy (>=2)", "click (>=6.2)", "pytest (>=6.0.1)", "pytest-md-report (>=0.6.2)"]
+
 [[package]]
 name = "peft"
 version = "0.12.0"
@@ -2030,13 +2399,13 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.3.3"
+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]
@@ -2044,24 +2413,43 @@ docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-a
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 type = ["mypy (>=1.11.2)"]
 
+[[package]]
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 [package.dependencies]
@@ -2304,6 +2717,42 @@ files = [
 [package.extras]
 diagrams = ["jinja2", "railroad-diagrams"]
 
+[[package]]
+name = "pytablewriter"
+version = "1.2.0"
+description = "pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML."
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+toml = ["toml (>=0.9.3,<1)"]
+yaml = ["PyYAML (>=3.11,<7)"]
+
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"
@@ -2334,13 +2783,13 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-multipart"
-version = "0.0.10"
+version = "0.0.12"
 description = "A streaming multipart parser for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -2354,6 +2803,29 @@ files = [
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 ]
 
+[[package]]
+name = "pywin32"
+version = "306"
+description = "Python for Window Extensions"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "pyyaml"
 version = "6.0.2"
@@ -2558,6 +3030,22 @@ pygments = ">=2.13.0,<3.0.0"
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
+[[package]]
+name = "rouge-score"
+version = "0.1.2"
+description = "Pure python implementation of ROUGE-1.5.5."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+absl-py = "*"
+nltk = "*"
+numpy = "*"
+six = ">=1.14.0"
+
 [[package]]
 name = "s3transfer"
 version = "0.10.2"
@@ -2575,6 +3063,30 @@ botocore = ">=1.33.2,<2.0a.0"
 [package.extras]
 crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
 
+[[package]]
+name = "sacrebleu"
+version = "2.4.3"
+description = "Hassle-free computation of shareable, comparable, and reproducible BLEU, chrF, and TER scores"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "sacrebleu-2.4.3.tar.gz", hash = "sha256:e734b1e0baeaea6ade0fefc9d23bac3df50bf15775d8b78edc108db63654192a"},
+]
+
+[package.dependencies]
+colorama = "*"
+lxml = "*"
+numpy = ">=1.17"
+portalocker = "*"
+regex = "*"
+tabulate = ">=0.8.9"
+
+[package.extras]
+dev = ["lxml-stubs", "mypy", "pytest", "setuptools", "types-tabulate", "wheel"]
+ja = ["ipadic (>=1.0,<2.0)", "mecab-python3 (>=1.0.9,<2.0.0)"]
+ko = ["mecab-ko (>=1.0.0,<=1.0.1)", "mecab-ko-dic (>=1.0,<2.0)"]
+
 [[package]]
 name = "safetensors"
 version = "0.4.5"
@@ -2707,6 +3219,51 @@ tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
 testing = ["h5py (>=3.7.0)", "huggingface-hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools-rust (>=1.5.2)"]
 torch = ["safetensors[numpy]", "torch (>=1.10)"]
 
+[[package]]
+name = "scikit-learn"
+version = "1.5.2"
+description = "A set of python modules for machine learning and data mining"
+optional = false
+python-versions = ">=3.9"
+files = [
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+
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 name = "scipy"
 version = "1.14.1"
@@ -2972,13 +3529,13 @@ test = ["pytest"]
 
 [[package]]
 name = "setuptools"
-version = "75.0.0"
+version = "75.1.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
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@@ -3034,15 +3591,25 @@ files = [
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+description = "Persistent dict in Python, backed up by sqlite3 and pickle, multithread-safe."
+optional = false
+python-versions = "*"
+files = [
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+
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 description = "The little ASGI library that shines."
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -3053,13 +3620,13 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7
 
 [[package]]
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-version = "1.13.2"
+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -3068,14 +3635,61 @@ mpmath = ">=1.1.0,<1.4"
 [package.extras]
 dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 
+[[package]]
+name = "tabledata"
+version = "1.3.3"
+description = "tabledata is a Python library to represent tabular data. Used for pytablewriter/pytablereader/SimpleSQLite/etc."
+optional = false
+python-versions = ">=3.7"
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+
+[package.extras]
+logging = ["loguru (>=0.4.1,<1)"]
+test = ["pytablewriter (>=0.46)", "pytest"]
+
+[[package]]
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+description = "Pretty-print tabular data"
+optional = false
+python-versions = ">=3.7"
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+widechars = ["wcwidth"]
+
+[[package]]
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+version = "0.1.6"
+description = "tcolopy is a Python library to apply true color for terminal text."
+optional = false
+python-versions = ">=3.7"
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+
 [[package]]
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+version = "2.18.0"
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 python-versions = ">=3.9"
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+version = "3.5.0"
+description = "threadpoolctl"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
 [[package]]
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 version = "1.0.9"
@@ -3122,111 +3747,111 @@ torchvision = "*"
 
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+    {file = "torch-2.6.0.dev20240929+cu124-cp311-cp311-linux_x86_64.whl", hash = "sha256:da13223cef7e5623d3d439fc869401b47ebf0c4f9ca0a1804ebf2ede83f64da1"},
+    {file = "torch-2.6.0.dev20240929+cu124-cp311-cp311-win_amd64.whl", hash = "sha256:8fdc11362c8e38b3cf3e907c5cdd66ecf5ada90a94a59e2bc971dfe41f3cf5d8"},
+    {file = "torch-2.6.0.dev20240929+cu124-cp312-cp312-linux_aarch64.whl", hash = "sha256:1d4796b795fa80fa3743636cc63fc088008ba19d16a17c7cd30781b6d488569b"},
+    {file = "torch-2.6.0.dev20240929+cu124-cp312-cp312-linux_x86_64.whl", hash = "sha256:7bd1e3177a363cf1e06cc7af6f06a584cbd17d7ccd0b892e18243bfd58f09f0a"},
+    {file = "torch-2.6.0.dev20240929+cu124-cp312-cp312-win_amd64.whl", hash = "sha256:c89d5402ec269e42854aee4e8df83301c1da08f8c12aaee9535e306333a15776"},
+    {file = "torch-2.6.0.dev20240929+cu124-cp313-cp313-linux_x86_64.whl", hash = "sha256:0d17a4ee2bd987c6c6b943b991a91924605a001e64b4cbc165c6fe46e2d0e123"},
+    {file = "torch-2.6.0.dev20240929+cu124-cp39-cp39-linux_aarch64.whl", hash = "sha256:81dc2d9f7a5d95eea829d2d4ee7e6f8e06a35dc771f1d0918852ae15669e3d5a"},
+    {file = "torch-2.6.0.dev20240929+cu124-cp39-cp39-linux_x86_64.whl", hash = "sha256:239087e08ac297b5ad7555115391b83132882cc4caca9e064feb3c94d9b2a9f5"},
+    {file = "torch-2.6.0.dev20240929+cu124-cp39-cp39-win_amd64.whl", hash = "sha256:b860ee86c3cb64528d5b6a41a4a1d8053938caf110bee965e74d4b5103408e85"},
 ]
 
 [package.dependencies]
@@ -3272,30 +3900,17 @@ filelock = "*"
 fsspec = "*"
 jinja2 = "*"
 networkx = "*"
-nvidia-cublas-cu12 = {version = "12.4.2.65", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu12 = {version = "12.4.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu12 = {version = "12.4.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu12 = {version = "12.4.99", 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 = "11.2.0.44", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-curand-cu12 = {version = "10.3.5.119", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusolver-cu12 = {version = "11.6.0.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparse-cu12 = {version = "12.3.0.142", 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-nvjitlink-cu12 = {version = "12.4.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvtx-cu12 = {version = "12.4.99", 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\""}
+sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.11.0)"]
+optree = ["optree (>=0.12.0)"]
 
 [package.source]
 type = "legacy"
-url = "https://download.pytorch.org/whl/cu124"
-reference = "pytorch"
+url = "https://download.pytorch.org/whl/nightly/cu124"
+reference = "pytorch-nightly"
 
 [[package]]
 name = "torch-optimi"
@@ -3317,32 +3932,52 @@ dev = ["black (>=24.2.0)", "mkdocs-caption (>=1.0.0)", "mkdocs-material (>=9.4.7
 docs = ["black (>=24.2.0)", "mkdocs-caption (>=1.0.0)", "mkdocs-material (>=9.4.7)", "mkdocstrings (>=0.24.1)", "mkdocstrings-python (>=1.8.0)"]
 test = ["numpy (>=1.23)", "pytest (>=8.1.1)", "pytest-md (>=0.2.0)", "ruff (>=0.3.2)"]
 
+[[package]]
+name = "torchao"
+version = "0.5.0+cu124"
+description = "Package for applying ao techniques to GPU models"
+optional = false
+python-versions = "*"
+files = [
+    {file = "torchao-0.5.0+cu124-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6228f96a3f6ecf26faa5694b86263bdc82df64cfcd4892cd3b62155706d733ae"},
+    {file = "torchao-0.5.0+cu124-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ef9557f8ab51967e94e06b59d71147116621fcee5602f2a0c88ffb8dce02aaad"},
+    {file = "torchao-0.5.0+cu124-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8400ac2770cb5d63f5b84347258995baecbdc6d35116016ecd90fa3f4eacc70"},
+    {file = "torchao-0.5.0+cu124-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f18b7cd527b09172093deb22f04143c514f01fdbc7f17bc9d7860d11292fcae"},
+    {file = "torchao-0.5.0+cu124-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fec93047847214fe351cda7032f237770c00d4e4b5f519c817e8532033915410"},
+]
+
+[package.extras]
+dev = ["bitsandbytes", "expecttest", "fire", "hypothesis", "matplotlib", "ninja", "packaging", "pandas", "parameterized", "pre-commit", "pytest (==7.4.0)", "ruff", "sentencepiece", "tabulate", "transformers", "unittest-xml-reporting"]
+
+[package.source]
+type = "legacy"
+url = "https://download.pytorch.org/whl/cu124"
+reference = "pytorch"
+
 [[package]]
 name = "torchaudio"
-version = "2.4.1+cu124"
+version = "2.5.0.dev20240929+cu124"
 description = "An audio package for PyTorch"
 optional = false
 python-versions = "*"
 files = [
-    {file = "torchaudio-2.4.1+cu124-cp310-cp310-linux_x86_64.whl", hash = "sha256:1b80ecfca94228e49d20536f75bea99cfba79303e596122059ea120ea8196a0d"},
-    {file = "torchaudio-2.4.1+cu124-cp310-cp310-win_amd64.whl", hash = "sha256:7a47620e0a940d0954141740d58719623ab2656627f36b23924ed30c74aa607a"},
-    {file = "torchaudio-2.4.1+cu124-cp311-cp311-linux_x86_64.whl", hash = "sha256:9045eeb86e8fc8767fb75224978051b114724d19af8f566c9dbd2c5c7d150f91"},
-    {file = "torchaudio-2.4.1+cu124-cp311-cp311-win_amd64.whl", hash = "sha256:9be91e449abfa76cde0c5e1a4fb91200668eb4fa9177daa131bf335e8f13092a"},
-    {file = "torchaudio-2.4.1+cu124-cp312-cp312-linux_x86_64.whl", hash = "sha256:8b30c2b3c893642cf10faeca887cebb3aac418c932358576cbb47447e9734029"},
-    {file = "torchaudio-2.4.1+cu124-cp312-cp312-win_amd64.whl", hash = "sha256:616076cd3b69e73e79642486fd8642eaf58243f5ee16b5f6de13422142c273fe"},
-    {file = "torchaudio-2.4.1+cu124-cp38-cp38-linux_x86_64.whl", hash = "sha256:7446df9665bdcda4b2348c794303e5c67afb95f11c759acf2fcebcc0bb0ec066"},
-    {file = "torchaudio-2.4.1+cu124-cp38-cp38-win_amd64.whl", hash = "sha256:aa9b815ced75c99623a68ed0067feeca88676f2dd4aa80f4eacd5733ec1f5920"},
-    {file = "torchaudio-2.4.1+cu124-cp39-cp39-linux_x86_64.whl", hash = "sha256:db1d30ac26dff5cb50cb24b347e31780f6c2687ac234ae54b9e0eded0c4394a5"},
-    {file = "torchaudio-2.4.1+cu124-cp39-cp39-win_amd64.whl", hash = "sha256:e2a422833c77b93155ac96bd8c229069a72f803deb88ae249a8e9064a108f477"},
+    {file = "torchaudio-2.5.0.dev20240929+cu124-cp310-cp310-linux_x86_64.whl", hash = "sha256:916a126248ab03019197d0cd7b838235a8bfb732b11cf0e1b26c5c4bdc3011e6"},
+    {file = "torchaudio-2.5.0.dev20240929+cu124-cp310-cp310-win_amd64.whl", hash = "sha256:7991d374299d70349a81d6ebce50d467513b7bda3762b174f5cfc75900f40b38"},
+    {file = "torchaudio-2.5.0.dev20240929+cu124-cp311-cp311-linux_x86_64.whl", hash = "sha256:4371afce0eb41b17a0bcfe1f35bea404eb16bac29ee8675a7e52aecf4378b939"},
+    {file = "torchaudio-2.5.0.dev20240929+cu124-cp311-cp311-win_amd64.whl", hash = "sha256:c3450ce25c3b2a725d0517bf59cd9132b907c324275ef59ea169c7042c8a183a"},
+    {file = "torchaudio-2.5.0.dev20240929+cu124-cp312-cp312-linux_x86_64.whl", hash = "sha256:0a62c587b58fbf44c995ca3930c8eb8ce8fdb2f55db02569c9a531b4d6a05fab"},
+    {file = "torchaudio-2.5.0.dev20240929+cu124-cp312-cp312-win_amd64.whl", hash = "sha256:81964b5411ba8133f9e32d69f14400105a98858f6113210c38cdd3221e9d221b"},
+    {file = "torchaudio-2.5.0.dev20240929+cu124-cp39-cp39-linux_x86_64.whl", hash = "sha256:27b6d1f381b9ee10f4a492773b069f3c8178ad5a9a06091890e12871262367fb"},
+    {file = "torchaudio-2.5.0.dev20240929+cu124-cp39-cp39-win_amd64.whl", hash = "sha256:f1d32c833a72a68ab87edf0442cb34fe2779d577e0c01b13067af9e11ff09b74"},
 ]
 
 [package.dependencies]
-torch = "2.4.1"
+torch = "2.6.0.dev20240929"
 
 [package.source]
 type = "legacy"
-url = "https://download.pytorch.org/whl/cu124"
-reference = "pytorch"
+url = "https://download.pytorch.org/whl/nightly/cu124"
+reference = "pytorch-nightly"
 
 [[package]]
 name = "torchmetrics"
@@ -3391,27 +4026,25 @@ trampoline = ">=0.1.2"
 
 [[package]]
 name = "torchvision"
-version = "0.19.1+cu124"
+version = "0.20.0.dev20240929+cu124"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "torchvision-0.19.1+cu124-cp310-cp310-linux_x86_64.whl", hash = "sha256:a96c5533c6914afe1ded9e92ad8981e2143f5ed89cd811b842eda1aff01b261c"},
-    {file = "torchvision-0.19.1+cu124-cp310-cp310-win_amd64.whl", hash = "sha256:e90da660c4d2c31fb96b7c5c14e5cd82bdc927b8ead2072bc49a1415b6162e06"},
-    {file = "torchvision-0.19.1+cu124-cp311-cp311-linux_x86_64.whl", hash = "sha256:fc68074915f5b08c8928ee67bb12c9b8b5ef3db9b4d233cc109a7ccb13e43296"},
-    {file = "torchvision-0.19.1+cu124-cp311-cp311-win_amd64.whl", hash = "sha256:f8e00f6fb2562ee0be2008fc1c91a99d990b91ee764b764669ecceae5a210e12"},
-    {file = "torchvision-0.19.1+cu124-cp312-cp312-linux_x86_64.whl", hash = "sha256:cc02e67d09cad8ca39dd6a969f517cc35cac3708edbf58a4dfece3ac93a66872"},
-    {file = "torchvision-0.19.1+cu124-cp312-cp312-win_amd64.whl", hash = "sha256:00ba20cb86664c8e51a001662ce320dc52137ee1e072842174e9d0f0b114020c"},
-    {file = "torchvision-0.19.1+cu124-cp38-cp38-linux_x86_64.whl", hash = "sha256:5736922eabdbdf18443a360b9ce7a7d08de87f34f7a5bec04eefd8085ae095d6"},
-    {file = "torchvision-0.19.1+cu124-cp38-cp38-win_amd64.whl", hash = "sha256:42755638d09dc125a11e4e73478b9a8ba500f7c50a3c44f279c59989a303caca"},
-    {file = "torchvision-0.19.1+cu124-cp39-cp39-linux_x86_64.whl", hash = "sha256:5f5a1ec06a83c4b06f11070ec6672a7df1d17b3b37c59bab19d30d61ca401aab"},
-    {file = "torchvision-0.19.1+cu124-cp39-cp39-win_amd64.whl", hash = "sha256:91530d8d0fc107d6334141c4546aaa5424a792d870c699d800b9cea9eee9e593"},
+    {file = "torchvision-0.20.0.dev20240929+cu124-cp310-cp310-linux_x86_64.whl", hash = "sha256:f525a61b532baf70b9f798b46c951143ee2c103c529b83365a2995fb5a4d3aa6"},
+    {file = "torchvision-0.20.0.dev20240929+cu124-cp310-cp310-win_amd64.whl", hash = "sha256:f4a4fce7e0f98938682e2faae181d31553e5c05aa7892fc05fd2fb06673949f2"},
+    {file = "torchvision-0.20.0.dev20240929+cu124-cp311-cp311-linux_x86_64.whl", hash = "sha256:255f7f5142b22430fd0c50ac53659dec98826e69576c449a5483d39446bbc471"},
+    {file = "torchvision-0.20.0.dev20240929+cu124-cp311-cp311-win_amd64.whl", hash = "sha256:3646651e57a25c4156f9cbc431ef112f88f29fac198167b3c3bbb21cfea43467"},
+    {file = "torchvision-0.20.0.dev20240929+cu124-cp312-cp312-linux_x86_64.whl", hash = "sha256:ef9c0c3201b8f383e9cdbdb9908d61b9a06e066e707015ffd4e03c69d46a660d"},
+    {file = "torchvision-0.20.0.dev20240929+cu124-cp312-cp312-win_amd64.whl", hash = "sha256:31a1551aaf080e82205cd3a21583ab5a9f9a859f8fb2b45265ba741599ef97ef"},
+    {file = "torchvision-0.20.0.dev20240929+cu124-cp39-cp39-linux_x86_64.whl", hash = "sha256:f3e2e23952c4e2f472e4301d4b2c7554d76ce45dece4d2cc33a34f99be39e75a"},
+    {file = "torchvision-0.20.0.dev20240929+cu124-cp39-cp39-win_amd64.whl", hash = "sha256:d892a3f2c3689806c72d9561c8be0495913c0422ca7739bb7a30eec1343e41e5"},
 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.4.1"
+torch = "2.6.0.dev20240929"
 
 [package.extras]
 gdown = ["gdown (>=4.7.3)"]
@@ -3419,8 +4052,8 @@ scipy = ["scipy"]
 
 [package.source]
 type = "legacy"
-url = "https://download.pytorch.org/whl/cu124"
-reference = "pytorch"
+url = "https://download.pytorch.org/whl/nightly/cu124"
+reference = "pytorch-nightly"
 
 [[package]]
 name = "tqdm"
@@ -3442,6 +4075,24 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "tqdm-multiprocess"
+version = "0.0.11"
+description = "Easy multiprocessing with tqdm and logging redirected to main process."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "tqdm-multiprocess-0.0.11.tar.gz", hash = "sha256:a74002a1222ea9cbe8cdc9bd460108c6009be359621fbee9b92d0515d4d180f7"},
+    {file = "tqdm_multiprocess-0.0.11-py3-none-any.whl", hash = "sha256:3ebdf03e7a675150fa0bbceaa9c3c64b8cb556e9ffafa4fe6c078e51820524aa"},
+]
+
+[package.dependencies]
+colorama = "*"
+tqdm = "*"
+
+[package.extras]
+dev = ["twine"]
+
 [[package]]
 name = "trampoline"
 version = "0.1.2"
@@ -3454,13 +4105,13 @@ files = [
 
 [[package]]
 name = "transformers"
-version = "4.44.2"
+version = "4.45.1"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.44.2-py3-none-any.whl", hash = "sha256:1c02c65e7bfa5e52a634aff3da52138b583fc6f263c1f28d547dc144ba3d412d"},
-    {file = "transformers-4.44.2.tar.gz", hash = "sha256:36aa17cc92ee154058e426d951684a2dab48751b35b49437896f898931270826"},
+    {file = "transformers-4.45.1-py3-none-any.whl", hash = "sha256:21e3f47aa7256dbbfb5215937a3168a984c94432ce3a16b7908265807d62aee8"},
+    {file = "transformers-4.45.1.tar.gz", hash = "sha256:9cace11072172df05ca6a694fcd1f5064a55b63285e492bd88f0ad1cec270f02"},
 ]
 
 [package.dependencies]
@@ -3472,21 +4123,21 @@ pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.19,<0.20"
+tokenizers = ">=0.20,<0.21"
 tqdm = ">=4.27"
 
 [package.extras]
-accelerate = ["accelerate (>=0.21.0)"]
-agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
+accelerate = ["accelerate (>=0.26.0)"]
+agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
-benchmark = ["optimum-benchmark (>=0.2.0)"]
+benchmark = ["optimum-benchmark (>=0.3.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
-deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
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 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -3497,7 +4148,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 ruff = ["ruff (==0.5.1)"]
@@ -3507,16 +4158,17 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (<=0.9.16)"]
-tokenizers = ["tokenizers (>=0.19,<0.20)"]
-torch = ["accelerate (>=0.21.0)", "torch"]
+tokenizers = ["tokenizers (>=0.20,<0.21)"]
+torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -3547,6 +4199,11 @@ build = ["cmake (>=3.20)", "lit"]
 tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
 tutorials = ["matplotlib", "pandas", "tabulate"]
 
+[package.source]
+type = "legacy"
+url = "https://download.pytorch.org/whl/cu124"
+reference = "pytorch"
+
 [[package]]
 name = "triton-library"
 version = "1.0.0rc4"
@@ -3567,6 +4224,27 @@ files = [
     {file = "triton_library-1.0.0rc4-cp39-cp39-win_amd64.whl", hash = "sha256:1b7737ed37f5a8150d4fb4ee3b9be543697ada71050a01c63b7ef09aa49c5b20"},
 ]
 
+[[package]]
+name = "typepy"
+version = "1.3.2"
+description = "typepy is a Python library for variable type checker/validator/converter at a run time."
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "typepy-1.3.2.tar.gz", hash = "sha256:b69fd48b9f50cdb3809906eef36b855b3134ff66c8893a4f8580abddb0b39517"},
+]
+
+[package.dependencies]
+mbstrdecoder = ">=1.0.0,<2"
+packaging = {version = "*", optional = true, markers = "extra == \"datetime\""}
+python-dateutil = {version = ">=2.8.0,<3.0.0", optional = true, markers = "extra == \"datetime\""}
+pytz = {version = ">=2018.9", optional = true, markers = "extra == \"datetime\""}
+
+[package.extras]
+datetime = ["packaging", "python-dateutil (>=2.8.0,<3.0.0)", "pytz (>=2018.9)"]
+test = ["packaging", "pytest (>=6.0.1)", "python-dateutil (>=2.8.0,<3.0.0)", "pytz (>=2018.9)", "tcolorpy"]
+
 [[package]]
 name = "typer"
 version = "0.12.5"
@@ -3597,13 +4275,13 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2024.1"
+version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
-    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
+    {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
 ]
 
 [[package]]
@@ -3624,13 +4302,13 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.30.6"
+version = "0.31.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "uvicorn-0.31.0-py3-none-any.whl", hash = "sha256:cac7be4dd4d891c363cd942160a7b02e69150dcbc7a36be04d5f4af4b17c8ced"},
+    {file = "uvicorn-0.31.0.tar.gz", hash = "sha256:13bc21373d103859f68fe739608e2eb054a816dea79189bc3ca08ea89a275906"},
 ]
 
 [package.dependencies]
@@ -3694,19 +4372,21 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
 
 [[package]]
 name = "wandb"
-version = "0.18.1"
+version = "0.18.2"
 description = "A CLI and library for interacting with the Weights & Biases API."
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -3729,7 +4409,7 @@ gcp = ["google-cloud-storage"]
 importers = ["filelock", "mlflow", "polars (<=1.2.1)", "rich", "tenacity"]
 kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
 launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "jsonschema", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "pyyaml (>=6.0.0)", "tomli", "typing-extensions"]
-media = ["bokeh", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
+media = ["bokeh", "imageio", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
 models = ["cloudpickle"]
 perf = ["orjson"]
 sweeps = ["sweeps (>=0.2.0)"]
@@ -3953,6 +4633,16 @@ MarkupSafe = ">=2.1.1"
 [package.extras]
 watchdog = ["watchdog (>=2.3)"]
 
+[[package]]
+name = "word2number"
+version = "1.1"
+description = "Convert number words eg. three hundred and forty two to numbers (342)."
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "xxhash"
 version = "3.5.0"
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 type = ["pytest-mypy"]
 
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+    {file = "zstandard-0.23.0.tar.gz", hash = "sha256:b2d8c62d08e7255f68f7a740bae85b3c9b8e5466baa9cbf7f57f1cde0ac6bc09"},
+]
+
+[package.dependencies]
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
-content-hash = "975a447a7f64bb6e7340d3e10153e4e3e2c649393fa18c2516b1720ad4b5b32b"
+content-hash = "b7a29deccc162729660c6eb5e910ff1cc7abc2856594cda855b8185da7327ab8"
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index e429f68f..58e39204 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,12 +9,12 @@ package-mode = false
 
 [tool.poetry.dependencies]
 python = ">=3.10,<3.12"
-torch = "^2.4.0+cu124"
-torchvision = "^0.19.0+cu124"
+torch = { version = ">2.5.0", source = "pytorch-nightly" }
+torchvision = { version = ">0.19", source = "pytorch-nightly" }
 diffusers = "^0.30.3"
 transformers = "^4.44.2"
 datasets = "^3.0.0"
-bitsandbytes = "^0.43.3"
+bitsandbytes = { version = "^0.43.3" }
 wandb = "^0.18.1"
 requests = "^2.32.3"
 pillow = "^10.4.0"
@@ -31,7 +31,7 @@ boto3 = "^1.35.24"
 pandas = "^2.2.3"
 botocore = "^1.35.24"
 urllib3 = "<1.27"
-torchaudio = "^2.1.0+cu121"
+torchaudio = "^2.4.1"
 triton-library = "^1.0.0rc2"
 torchsde = "^0.2.5"
 torchmetrics = "^1.1.1"
@@ -39,24 +39,28 @@ colorama = "^0.4.6"
 numpy = "1.26"
 peft = "^0.12.0"
 tensorboard = "^2.17.1"
-triton = "^3.0.0"
+triton = {version = "^3.0.0", source = "pytorch"}
 sentencepiece = "^0.2.0"
 optimum-quanto = {git = "https://github.com/huggingface/optimum-quanto"}
 lycoris-lora = {git = "https://github.com/kohakublueleaf/lycoris", rev = "dev"}
 torch-optimi = "^0.2.1"
 toml = "^0.10.2"
 fastapi = {extras = ["standard"], version = "^0.115.0"}
+torchao = {version = "^0.5.0+cu124", source = "pytorch"}
+lm-eval = "^0.4.4"
+nvidia-cudnn-cu12 = "^9.4.0.58"
 
 
 [build-system]
-requires = ["poetry-core"]
+requires = ["poetry-core", "setuptools", "wheel", "torch"]
 build-backend = "poetry.core.masonry.api"
 
 [[tool.poetry.source]]
-priority = "secondary"
+priority = "supplemental"
 name = "pytorch"
 url = "https://download.pytorch.org/whl/cu124"
 
-#[[tool.poetry.source]]
-#name = "pytorch-nightly"
-#url = "https://download.pytorch.org/whl/nightly/cu124"
+[[tool.poetry.source]]
+priority = "supplemental"
+name = "pytorch-nightly"
+url = "https://download.pytorch.org/whl/nightly/cu124"
\ No newline at end of file