081377fd30
Round 34 P1: R33 removed the `huggingface_hub>=1.3.0,<2.0` line entirely when the right revert was to restore the pre-PR `huggingface_hub>=0.34.0` floor. install.sh --no-torch installs this requirements file with --no-deps and does NOT install studio.txt afterward, so without an explicit Hub line a no-torch Studio install ends with no huggingface_hub at all and the new diffusion + chat GGUF paths fail at import with ModuleNotFoundError: huggingface_hub. Restores the pre-PR floor and documents both the round-26 walk-back and the round-34 reason the package line stays.
99 lines
3.7 KiB
Text
99 lines
3.7 KiB
Text
# Runtime dependencies for no-torch (GGUF-only) mode.
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# Installed with --no-deps to prevent transitive torch resolution
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# from packages like accelerate, peft, trl, sentence-transformers.
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#
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# Includes unsloth's own direct deps (typer, pydantic, pyyaml,
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# nest-asyncio) since unsloth is also installed with --no-deps
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# (current PyPI metadata still declares torch as a hard dep).
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# unsloth direct deps (from pyproject.toml [project].dependencies)
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typer
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# typer's full runtime dep tree. Required explicitly because this
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# file is installed with --no-deps. On Linux/Mac CI runners these
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# are often cached transitively; on a fresh windows-latest venv they
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# are not, and `unsloth studio setup` crashes with
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# `ModuleNotFoundError: No module named 'click'`, then 'annotated_doc',
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# then 'rich', etc. as each is hit. Pin the full chain so the
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# no-torch path works cleanly on every fresh venv.
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click>=8.0
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shellingham>=1.5
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annotated-doc>=0.0.3
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rich>=13.0
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markdown-it-py>=3.0
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mdurl>=0.1
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pygments>=2.0
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# pydantic is intentionally NOT pinned here. install.sh / install.ps1
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# / install_python_stack.py run `pip install pydantic` WITH deps just
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# before this --no-deps file is applied, so pip resolves pydantic-core
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# to the exact version pydantic's _ensure_pydantic_core_version check
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# expects. Pinning both under --no-deps used to drift them apart.
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pyyaml
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nest-asyncio
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# HF ecosystem (from [huggingfacenotorch] extras in pyproject.toml)
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wheel>=0.42.0
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packaging
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numpy
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tqdm
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psutil
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tyro
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protobuf
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sentencepiece>=0.2.0
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safetensors>=0.4.3
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datasets>=3.4.1,!=4.0.*,!=4.1.0,<4.4.0
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accelerate>=0.34.1
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peft>=0.18.0,!=0.11.0
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# Round 33 P1: reverted the round-26 hub>=1.3.0 floor to the
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# pre-PR >=0.34.0 floor. Studio's install_python_stack later
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# forces hub==0.36.2 via studio.txt (constrained by
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# transformers==4.57.6 in extras-no-deps.txt), so the 1.3.0
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# floor was internally inconsistent. extras-no-deps holds
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# transformers at 4.x, so the transformers-5.x is_offline_mode
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# concern that motivated the original bump never actually
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# triggers on the supported install path.
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# Round 34 P1: the line itself must stay because install.sh
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# --no-torch installs THIS file with --no-deps and does not run
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# studio.txt afterward; without the package line a no-torch
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# install ends with no huggingface_hub at all and the new
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# diffusion / chat GGUF paths fail with ModuleNotFoundError.
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# Verified live on B200: hub 0.36.2 + transformers 4.57.6 +
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# diffusers 0.37.1 imports Flux2KleinPipeline cleanly and runs
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# end-to-end image generation.
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huggingface_hub>=0.34.0
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hf_transfer
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# Floor 0.37.0 introduces Flux2KleinPipeline + Flux2Pipeline which the
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# Studio Images page imports for the default curated picker.
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diffusers>=0.37.0
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# Required by diffusers.GGUFQuantizationConfig (used by the Images page
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# to load FLUX.2 / FLUX.1 / Qwen-Image GGUFs from the Hub). Floor at
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# 0.10.0 to match the diffusers requirement; older gguf releases raise
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# at single-file load time.
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gguf>=0.10.0
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# Transitive deps required because this file is installed with --no-deps.
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# Without these, `from transformers import AutoConfig` fails at import time.
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regex
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typing_extensions
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filelock
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# `requests` and its urllib3/charset chain are required by huggingface_hub's
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# blob downloader; diffusers + GGUFQuantizationConfig 500 on first
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# /api/inference/images/load otherwise.
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requests
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urllib3
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charset_normalizer
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httpx
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httpcore
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certifi
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idna
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anyio
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sniffio
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h11
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# Unpinned resolves to 0.23.1+ which breaks `from transformers import
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# AutoConfig`; transformers 4.56..5.3 declares tokenizers<=0.23.0.
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tokenizers<=0.23.0
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transformers>=4.51.3,!=4.52.0,!=4.52.1,!=4.52.2,!=4.52.3,!=4.53.0,!=4.54.0,!=4.55.0,!=4.55.1,!=4.57.0,!=4.57.4,!=4.57.5,!=5.0.0,!=5.1.0,<=5.3.0
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trl>=0.18.2,!=0.19.0,<=0.24.0
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sentence-transformers
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cut_cross_entropy
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pillow
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