dfb3eedf77* ci: broaden Linux llama.cpp runtime pattern to lib*.so* #5741 patched the explicit Linux pattern list to add ``libllama-*-impl.so*`` after ggml-org/llama.cpp#23462 (between b9279 and b9283) split each binary's entry code into a paired ``lib<binary>-impl.so`` shared library. Same class of upstream repackaging will hit us again whenever a new shared lib is added. Mirror what macOS already does and replace the per-lib list with a single ``lib*.so*`` glob. ``copy_globs`` (line 3614) unions patterns, so the per-variant ``libggml-cuda.so*`` / ``libggml-hip.so*`` entries were never filtering anything; the spec lives in ``runtime_payload_health_groups`` (line 5209) which keeps the explicit minimum-required list per variant. Dry-run against b9296-bin-ubuntu-x64.tar.gz: 40 files copied (all ggml, llama, mtmd, impl variants + the two binaries we ship), 22 skipped (other CLIs, rpc-server, LICENSE). Functionally equal to the post-#5741 set. * cleanup: trim #5741 comments on the pydantic split Comments added in #5741 explained the original bug in full each time. They are mostly redundant with the commit message and the PR. Trim them to one short paragraph per site. No behavior change. * ci: narrow Windows runtime pattern to llama-server.exe + llama-quantize.exe Studio only invokes llama-server and llama-quantize. Mac and Linux already filter to those two binaries; Windows was the odd one out with ``*.exe`` copying every CLI upstream ships (llama-cli, llama-bench, llama-mtmd-cli, ...). Dry-run on b9296 (win cpu-x64, cpu-arm64, cuda-13.1, hip-radeon): 20 unused EXEs skipped per variant, all DLLs (incl. the new llama-*-impl.dll family) still copied via ``*.dll``. ``existing_install_matches_choice`` already checks llama-server.exe exists explicitly (line 5297), so the health gate is unchanged.
70 lines
2.2 KiB
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70 lines
2.2 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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huggingface_hub>=0.34.0
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hf_transfer
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diffusers
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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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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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