diff --git a/Dockerfile b/Dockerfile index dd6b95a97..08ba86149 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,42 +1,4 @@ -ARG CUDA -ARG DIST -ARG TARGET -FROM --platform=linux/amd64 nvidia/cuda:${CUDA}-${TARGET}-${DIST} - -ARG DEBIAN_FRONTEND="noninteractive" -ENV TZ="America/Los_Angeles" - -# Install base tools. -RUN apt-get update && apt-get install -y \ - build-essential \ - curl \ - git \ - jq \ - language-pack-en \ - make \ - sudo \ - unzip \ - vim \ - wget \ - parallel \ - iputils-ping \ - tmux - -ARG BEAKER_VERSION -RUN curl --silent \ - --connect-timeout 5 \ - --max-time 10 \ - --retry 5 \ - --retry-delay 0 \ - --retry-max-time 40 \ - --output beaker.tar.gz \ - "https://beaker.org/api/v3/release/cli?os=linux&arch=amd64&version=${BEAKER_VERSION}" \ - && tar -zxf beaker.tar.gz -C /usr/local/bin/ ./beaker \ - && rm beaker.tar.gz - -# This ensures the dynamic linker (or NVIDIA's container runtime, I'm not sure) -# puts the right NVIDIA things in the right place (that THOR requires). -ENV NVIDIA_DRIVER_CAPABILITIES=graphics,utility,compute +FROM ghcr.io/allenai/oi-cuda-no-conda:12.1-cudnn8-dev-ubuntu20.04 # Install conda. We give anyone in the users group the ability to run # conda commands and install packages in the base (default) environment. @@ -50,8 +12,6 @@ RUN wget https://repo.anaconda.com/miniconda/Miniconda3-py310_23.1.0-1-Linux-x86 && rm Miniconda3-py310_23.1.0-1-Linux-x86_64.sh ENV PATH=/opt/miniconda3/bin:/opt/miniconda3/condabin:$PATH -ENV LD_LIBRARY_PATH=/usr/local/cuda/lib:/usr/local/cuda/lib64:$LD_LIBRARY_PATH - # Install a few additional utilities via pip RUN /opt/miniconda3/bin/pip install --no-cache-dir \ gpustat \ @@ -59,41 +19,18 @@ RUN /opt/miniconda3/bin/pip install --no-cache-dir \ beaker-gantry \ oocmap -# Ensure users can modify their container environment. -RUN echo '%users ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers - -# Make the base image friendlier for interactive workloads. This makes things like the man command -# work. -RUN yes | unminimize - -# Install MLNX OFED user-space drivers -# See https://docs.nvidia.com/networking/pages/releaseview.action?pageId=15049785#Howto:DeployRDMAacceleratedDockercontaineroverInfiniBandfabric.-Dockerfile -ENV MOFED_VER 5.8-1.1.2.1 -ENV OS_VER ubuntu20.04 -ENV PLATFORM x86_64 -RUN wget --quiet https://content.mellanox.com/ofed/MLNX_OFED-${MOFED_VER}/MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM}.tgz && \ - tar -xvf MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM}.tgz && \ - MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM}/mlnxofedinstall --basic --user-space-only --without-fw-update -q && \ - rm -rf MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM} && \ - rm MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM}.tgz - -# The -l flag makes bash act as a login shell and load /etc/profile, etc. -ENTRYPOINT ["bash", "-l"] - WORKDIR /stage/ # TODO When updating flash-attn or torch in the future, make sure to update the version in the requirements.txt file. ENV HF_HUB_ENABLE_HF_TRANSFER=1 -COPY requirements.txt . RUN pip install --upgrade pip "setuptools<70.0.0" wheel -# TODO, unpin setuptools when this issue in flash attention is resolved -RUN pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu121 +RUN pip install torch==2.5.1 torchvision==0.20.1 --index-url https://download.pytorch.org/whl/cu121 RUN pip install packaging -RUN pip install flash-attn==2.6.3 --no-build-isolation +RUN pip install flash-attn==2.7.2.post1 --no-build-isolation +COPY requirements.txt . RUN pip install -r requirements.txt - -# NLTK download RUN python -m nltk.downloader punkt + COPY open_instruct open_instruct COPY oe-eval-internal oe-eval-internal diff --git a/Dockerfile.base b/Dockerfile.base new file mode 100644 index 000000000..e4e9f9456 --- /dev/null +++ b/Dockerfile.base @@ -0,0 +1,80 @@ +# Run the following command to build `ghcr.io/allenai/oi-cuda-no-conda:12.1-cudnn8-dev-ubuntu20.04` +# docker build --build-arg CUDA=12.1.0 --build-arg TARGET=cudnn8-devel --build-arg DIST=ubuntu20.04 -f Dockerfile.base . -t cuda-no-conda:12.1-cudnn8-dev-ubuntu20.04 + +ARG CUDA +ARG DIST +ARG TARGET +FROM --platform=linux/amd64 nvidia/cuda:${CUDA}-${TARGET}-${DIST} + +ARG DEBIAN_FRONTEND="noninteractive" +ENV TZ="America/Los_Angeles" + +# Install base tools. +RUN apt-get update && apt-get install -y \ + build-essential \ + curl \ + git \ + jq \ + language-pack-en \ + make \ + man-db \ + manpages \ + manpages-dev \ + manpages-posix \ + manpages-posix-dev \ + sudo \ + unzip \ + vim \ + wget \ + fish \ + parallel \ + iputils-ping \ + htop \ + emacs \ + zsh \ + rsync \ + tmux + +# This ensures the dynamic linker (or NVIDIA's container runtime, I'm not sure) +# puts the right NVIDIA things in the right place (that THOR requires). +ENV NVIDIA_DRIVER_CAPABILITIES=graphics,utility,compute +ENV LD_LIBRARY_PATH=/usr/local/cuda/lib:/usr/local/cuda/lib64:$LD_LIBRARY_PATH + +# Ensure users can modify their container environment. +RUN echo '%users ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers + +# Make the base image friendlier for interactive workloads. This makes things like the man command +# work. +RUN yes | unminimize + +# Install MLNX OFED user-space drivers +# See https://docs.nvidia.com/networking/pages/releaseview.action?pageId=15049785#Howto:DeployRDMAacceleratedDockercontaineroverInfiniBandfabric.-Dockerfile +ENV MOFED_VER 24.01-0.3.3.1 +ENV OS_VER ubuntu20.04 +ENV PLATFORM x86_64 +RUN wget --quiet https://content.mellanox.com/ofed/MLNX_OFED-${MOFED_VER}/MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM}.tgz && \ + tar -xvf MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM}.tgz && \ + MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM}/mlnxofedinstall --basic --user-space-only --without-fw-update -q && \ + rm -rf MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM} && \ + rm MLNX_OFED_LINUX-${MOFED_VER}-${OS_VER}-${PLATFORM}.tgz + +# Install Docker CLI. Version matches Beaker on-premise servers. +RUN curl -fsSL https://download.docker.com/linux/static/stable/x86_64/docker-20.10.21.tgz -o docker.tgz \ + && sudo tar xzvf docker.tgz --strip 1 -C /usr/local/bin docker/docker \ + && rm docker.tgz + +# Install Beaker +ARG BEAKER_VERSION +RUN curl --silent \ + --connect-timeout 5 \ + --max-time 10 \ + --retry 5 \ + --retry-delay 0 \ + --retry-max-time 40 \ + --output beaker.tar.gz \ + "https://beaker.org/api/v3/release/cli?os=linux&arch=amd64&version=${BEAKER_VERSION}" \ + && tar -zxf beaker.tar.gz -C /usr/local/bin/ ./beaker \ + && rm beaker.tar.gz + +# The -l flag makes bash act as a login shell and load /etc/profile, etc. +ENTRYPOINT ["bash", "-l"] \ No newline at end of file diff --git a/Dockerfile.uv b/Dockerfile.uv new file mode 100644 index 000000000..eae3e1e35 --- /dev/null +++ b/Dockerfile.uv @@ -0,0 +1,37 @@ +FROM ghcr.io/allenai/oi-cuda-no-conda:12.1-cudnn8-dev-ubuntu20.04 +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ +ENV HF_HUB_ENABLE_HF_TRANSFER=1 +ENV UV_COMPILE_BYTECODE=1 + +# setup files +WORKDIR /stage/ + +# Install the project's dependencies using the lockfile and settings +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=uv.lock,target=uv.lock \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + uv sync --frozen --no-install-project +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=uv.lock,target=uv.lock \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + uv sync --frozen --no-install-project --extra compile + +COPY open_instruct open_instruct +COPY eval eval +COPY configs configs +COPY scripts scripts +# hack: only copy oe-eval-internal if it exists +COPY mason.py oe-eval-internal* /stage/ +COPY .git/ ./.git/ +COPY pyproject.toml uv.lock . +RUN chmod +x scripts/* + +# install dependencies +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --frozen --extra compile + +# for interactive session +RUN chmod -R 777 /stage/ + +# uv dockerfile magic: place executables in the environment at the front of the path +ENV PATH=/stage/.venv/bin:$PATH diff --git a/README.md b/README.md index b1b7868df..8ec79492c 100644 --- a/README.md +++ b/README.md @@ -51,22 +51,45 @@ Our setup mostly follows our [Dockerfile](./Dockerfile), which uses Python 3.10. ```bash pip install --upgrade pip "setuptools<70.0.0" wheel # TODO, unpin setuptools when this issue in flash attention is resolved -pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu121 +pip install torch==2.5.1 torchvision==0.20.1 --index-url https://download.pytorch.org/whl/cu121 pip install packaging -pip install flash-attn==2.6.3 --no-build-isolation +pip install flash-attn==2.7.2.post1 --no-build-isolation pip install -r requirements.txt -python -m nltk.downloader punkt pip install -e . +python -m nltk.downloader punkt +``` + +* **Local installation with uv (preview)**: We are experimenting with using [uv](https://docs.astral.sh/uv/). You can install via +```bash +uv sync +uv sync --extra compile # to install flash attention ``` * **Docker installation**: You can also use the Dockerfile to build a Docker image. You can build the image with the following command: ```bash -docker build --build-arg CUDA=12.1.0 --build-arg TARGET=cudnn8-devel --build-arg DIST=ubuntu20.04 . -t open_instruct_dev +docker build . -t open_instruct_dev +# if you are interally at AI2, you can create an image like this: +beaker_user=$(beaker account whoami --format json | jq -r '.[0].name') +beaker image delete $beaker_user/open_instruct_dev +beaker image create open_instruct_dev -n open_instruct_dev -w ai2/$beaker_user +``` + +Optionally you can build the base image with the following command: + +```bash +docker build --build-arg CUDA=12.1.0 --build-arg TARGET=cudnn8-devel --build-arg DIST=ubuntu20.04 -f Dockerfile.base . -t cuda-no-conda:12.1-cudnn8-dev-ubuntu20.04 +``` + +* **Docker with uv**: You can also use the Dockerfile to build a Docker image with uv. You can build the image with the following command: + +```bash +docker build -f Dockerfile.uv -t open_instruct_dev_uv . # if you are interally at AI2, you can create an image like this: -beaker image delete $(whoami)/open_instruct_dev -beaker image create open_instruct_dev -n open_instruct_dev -w ai2/$(whoami) +beaker_user=$(beaker account whoami --format json | jq -r '.[0].name') +beaker image delete $beaker_user/open_instruct_dev_uv +beaker image create open_instruct_dev_uv -n open_instruct_dev_uv -w ai2/$beaker_user ``` If you are internally at AI2, you may launch experiments using our always-up-to-date auto-built image `nathanl/open_instruct_auto`. diff --git a/open_instruct/dpo_tune.py b/open_instruct/dpo_tune.py index 92a783cfb..98860dc04 100644 --- a/open_instruct/dpo_tune.py +++ b/open_instruct/dpo_tune.py @@ -34,7 +34,7 @@ import deepspeed import torch import transformers -from accelerate import Accelerator +from accelerate import Accelerator, DataLoaderConfiguration from accelerate.logging import get_logger from accelerate.utils import InitProcessGroupKwargs, set_seed from datasets import load_dataset @@ -499,10 +499,11 @@ def main(args: FlatArguments): # if you get timeouts (e.g. due to long tokenization) increase this. timeout_kwargs = InitProcessGroupKwargs(timeout=timedelta(seconds=args.timeout)) + dataloader_config = DataLoaderConfiguration(use_seedable_sampler=True) accelerator = Accelerator( gradient_accumulation_steps=args.gradient_accumulation_steps, - use_seedable_sampler=True, + dataloader_config=dataloader_config, **accelerator_log_kwargs, kwargs_handlers=[timeout_kwargs], ) diff --git a/open_instruct/finetune.py b/open_instruct/finetune.py index 355d103b5..686d548d9 100644 --- a/open_instruct/finetune.py +++ b/open_instruct/finetune.py @@ -30,7 +30,7 @@ import deepspeed import torch import transformers -from accelerate import Accelerator +from accelerate import Accelerator, DataLoaderConfiguration from accelerate.logging import get_logger from accelerate.utils import InitProcessGroupKwargs, set_seed from datasets import load_dataset @@ -483,10 +483,11 @@ def main(args: FlatArguments): # if you get timeouts (e.g. due to long tokenization) increase this. timeout_kwargs = InitProcessGroupKwargs(timeout=timedelta(seconds=args.timeout)) + dataloader_config = DataLoaderConfiguration(use_seedable_sampler=True) accelerator = Accelerator( gradient_accumulation_steps=args.gradient_accumulation_steps, - use_seedable_sampler=True, + dataloader_config=dataloader_config, **accelerator_log_kwargs, kwargs_handlers=[timeout_kwargs], ) diff --git a/open_instruct/ppo_vllm_thread_ray_gtrl.py b/open_instruct/ppo_vllm_thread_ray_gtrl.py index 085133203..0d3038364 100644 --- a/open_instruct/ppo_vllm_thread_ray_gtrl.py +++ b/open_instruct/ppo_vllm_thread_ray_gtrl.py @@ -762,11 +762,11 @@ def train( world_size = vllm_num_engines * vllm_tensor_parallel_size + 1 backend = args.vllm_sync_backend # https://github.com/OpenRLHF/OpenRLHF/issues/313 - if vllm.__version__ > "0.4.2" and os.getenv("NCCL_P2P_DISABLE", "0") == "0": - backend = "gloo" - print( - "Warning: using --vllm_sync_backend=gloo for vLLM version > 0.4.2 (or export NCCL_P2P_DISABLE=1)" - ) + # if vllm.__version__ > "0.4.2" and os.getenv("NCCL_P2P_DISABLE", "0") == "0": + # backend = "gloo" + # print( + # "Warning: using --vllm_sync_backend=gloo for vLLM version > 0.4.2 (or export NCCL_P2P_DISABLE=1)" + # ) refs = [ engine.init_process_group.remote( master_address, @@ -1000,10 +1000,10 @@ def vllm_generate( start_time = time.time() broadcast_to_vllm() - print( - f"🔥🔥🔥 Loading weights using shared memory; Time to load weights: {time.time() - start_time:.2f} seconds" - ) if accelerator.is_main_process: + print( + f"🔥🔥🔥 Loading weights using shared memory; Time to load weights: {time.time() - start_time:.2f} seconds" + ) param_prompt_Q.put((None, remove_padding(global_queries, tokenizer.pad_token_id))) else: if training_step != 1: @@ -1021,10 +1021,10 @@ def vllm_generate( datasets_next = data[DATASET_SOURCE_KEY] start_time = time.time() broadcast_to_vllm() - print( - f"🔥🔥🔥 Loading weights using shared memory; Time to load weights: {time.time() - start_time:.2f} seconds" - ) if accelerator.is_main_process: + print( + f"🔥🔥🔥 Loading weights using shared memory; Time to load weights: {time.time() - start_time:.2f} seconds" + ) param_prompt_Q.put((None, remove_padding(global_queries, tokenizer.pad_token_id))) queries = queries_next ground_truths = ground_truths_next @@ -1614,11 +1614,11 @@ def main(args: Args, dataset_config: DatasetConfig, model_config: ModelConfig): print( f"Dataset splits not provided for all datasets. Using the same {args.dataset_train_splits[0]} split for all datasets." ) - if len(args.dataset_eval_splits) != len(args.dataset_eval_mixer_dict) and len(args.dataset_eval_splits) == 1: - args.dataset_eval_splits = [args.dataset_eval_splits[0]] * len(args.dataset_eval_mixer_dict) - print( - f"Dataset splits not provided for all datasets. Using the same {args.dataset_eval_splits[0]} split for all datasets." - ) + # if len(args.dataset_eval_splits) != len(args.dataset_eval_mixer_dict) and len(args.dataset_eval_splits) == 1: + # args.dataset_eval_splits = [args.dataset_eval_splits[0]] * len(args.dataset_eval_mixer_dict) + # print( + # f"Dataset splits not provided for all datasets. Using the same {args.dataset_eval_splits[0]} split for all datasets." + # ) train_dataset = combine_dataset( args.dataset_mixer_dict, splits=args.dataset_train_splits, diff --git a/pyproject.toml b/pyproject.toml index 8a952b35a..1f2ced382 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,17 +1,71 @@ +[project] +name = "open-instruct" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.10,<3.12" +dependencies = [ + "accelerate>=1.1.1", + "antlr4-python3-runtime==4.11", + "bitsandbytes>=0.44.1", + "datasets>=3.1.0", + "deepspeed>=0.16.0", + "hf-transfer>=0.1.8", + "matplotlib>=3.9.3", + "nltk>=3.9.1", + "numpy<2", + "packaging>=24.2", + "peft>=0.13.2", + "setuptools>=75.6.0", + "tensorboard>=2.18.0", + "torch>=2.5.1", + "transformers>=4.46.3", + "vllm>=0.6.4.post1", + "wandb>=0.18.7", +] + [build-system] -requires = ["setuptools", "setuptools-scm"] +requires = ["setuptools"] build-backend = "setuptools.build_meta" -[project] -name = "open_instruct" -authors = [ - {name = "Example Author", email = "author@example.com"} +[tool.setuptools] +py-modules = ["open_instruct"] + +# pytroch related setups +[tool.uv.sources] +torch = [ + { index = "pytorch-cu121", marker = "platform_system != 'Darwin'"}, ] -description = "package description" -version = "0.0.1" -readme = "README.md" -requires-python = ">=3.7" -dependencies = [] -[tool.setuptools] -py-modules = ["open_instruct"] \ No newline at end of file +[[tool.uv.index]] +name = "pytorch-cu121" +url = "https://download.pytorch.org/whl/cu121" +explicit = true + +[[tool.uv.index]] +name = "pytorch-cpu" +url = "https://download.pytorch.org/whl/cpu" +explicit = true + +# flash-attn related setups +[project.optional-dependencies] +compile = ["flash-attn>=2.7.2.post1"] + +[tool.uv] +python-preference = "only-managed" +no-build-isolation-package = ["flash-attn"] + +[[tool.uv.dependency-metadata]] +name = "flash-attn" +version = "2.7.2.post1" +requires-dist = ["torch", "setuptools"] + +[dependency-groups] +dev = [ + "autoflake>=2.3.1", + "beaker-py>=1.32.2", + "black>=24.10.0", + "flake8>=7.1.1", + "isort>=5.13.2", + "pytest>=8.3.4", +] diff --git a/requirements.txt b/requirements.txt index 487c7df86..624e72f0c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,53 +1,193 @@ -# TODO When updating flash-attn or torch in the future, make sure to update the version in the Dockerfile -torch==2.4.0 -scipy -packaging -sentencepiece -datasets -deepspeed==0.15.0 -accelerate==0.31.0 -peft>=0.11.1 -bitsandbytes>=0.41.1 -evaluate>=0.4.0 -tokenizers==0.19.1 -protobuf -transformers==4.43.4 -openai>=1.0.0 -tiktoken -rouge_score -tensorboard -wandb -gradio>=3.50.2 -termcolor -jsonlines -unidic-lite -einops -flash-attn==2.6.3 # should really only be in dockerfile. Local env often doesn't have GPUs -fire -alpaca-eval==0.6.2 -# for human eval web app -flask -vllm>=0.5.4 # for llama 3 + olmo compat. -openpyxl -# for ifeval -nltk==3.8.1 -langdetect -immutabledict -# for math evaluations +absl-py==2.1.0 +accelerate==1.2.1 +aiohappyeyeballs==2.4.4 +aiohttp==3.11.11 +aiohttp-cors==0.7.0 +aiosignal==1.3.2 +airportsdata==20241001 +annotated-types==0.7.0 antlr4-python3-runtime==4.11.0 +anyio==4.8.0 +astor==0.8.1 +async-timeout==5.0.1 +attrs==24.3.0 +autoflake==2.3.1 +beaker-py==1.32.3 +bitsandbytes==0.45.0 +black==24.10.0 +blake3==1.0.1 +cachetools==5.5.0 +certifi==2024.12.14 +charset-normalizer==3.4.1 +click==8.1.8 +cloudpickle==3.1.0 +colorful==0.5.6 +compressed-tensors==0.8.1 +contourpy==1.3.1 +cycler==0.12.1 +datasets==3.2.0 +deepspeed==0.16.2 +depyf==0.18.0 +dill==0.3.8 +diskcache==5.6.3 +distlib==0.3.9 +distro==1.9.0 +docker==7.1.0 +docker-pycreds==0.4.0 +einops==0.8.0 +exceptiongroup==1.2.2 +fastapi==0.115.6 +filelock==3.16.1 +flake8==7.1.1 +flash-attn==2.7.2.post1 +fonttools==4.55.3 +frozenlist==1.5.0 +fsspec==2024.9.0 +gguf==0.10.0 +gitdb==4.0.12 +gitpython==3.1.44 +google-api-core==2.24.0 +google-auth==2.37.0 +googleapis-common-protos==1.66.0 +grpcio==1.69.0 +h11==0.14.0 +hf-transfer==0.1.9 +hjson==3.1.0 +httpcore==1.0.7 +httptools==0.6.4 +httpx==0.28.1 +huggingface-hub==0.27.1 +idna==3.10 +importlib-metadata==8.5.0 +iniconfig==2.0.0 +interegular==0.3.3 +isort==5.13.2 +jinja2==3.1.5 +jiter==0.8.2 +joblib==1.4.2 +jsonschema==4.23.0 +jsonschema-specifications==2024.10.1 +kiwisolver==1.4.8 +lark==1.2.2 +linkify-it-py==2.0.3 +lm-format-enforcer==0.10.9 +markdown==3.7 +markdown-it-py==3.0.0 +markupsafe==3.0.2 +matplotlib==3.10.0 +mccabe==0.7.0 +mdit-py-plugins==0.4.2 +mdurl==0.1.2 +memray==1.15.0 +mistral-common==1.5.1 mpmath==1.3.0 -sympy==1.12.0 -# for linting -black -flake8 -isort -autoflake -pytest -hf_transfer -beaker-py -litellm -matplotlib -ray -# for data decontamination -elasticsearch==8.6.2 -spacy==3.7.6 +msgpack==1.1.0 +msgspec==0.19.0 +multidict==6.1.0 +multiprocess==0.70.16 +mypy-extensions==1.0.0 +nest-asyncio==1.6.0 +networkx==3.4.2 +ninja==1.11.1.3 +nltk==3.9.1 +numpy==1.26.4 +nvidia-cublas-cu12==12.1.3.1 +nvidia-cuda-cupti-cu12==12.1.105 +nvidia-cuda-nvrtc-cu12==12.1.105 +nvidia-cuda-runtime-cu12==12.1.105 +nvidia-cudnn-cu12==9.1.0.70 +nvidia-cufft-cu12==11.0.2.54 +nvidia-curand-cu12==10.3.2.106 +nvidia-cusolver-cu12==11.4.5.107 +nvidia-cusparse-cu12==12.1.0.106 +nvidia-ml-py==12.560.30 +nvidia-nccl-cu12==2.21.5 +nvidia-nvjitlink-cu12==12.6.85 +nvidia-nvtx-cu12==12.1.105 +# -e file:///weka/oe-adapt-default/costah/open-instruct-uv +openai==1.59.5 +opencensus==0.11.4 +opencensus-context==0.1.3 +opencv-python-headless==4.10.0.84 +outlines==0.1.11 +outlines-core==0.1.26 +packaging==24.2 +pandas==2.2.3 +partial-json-parser==0.2.1.1.post5 +pathspec==0.12.1 +peft==0.14.0 +pillow==10.4.0 +platformdirs==4.3.6 +pluggy==1.5.0 +prometheus-client==0.21.1 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