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* requirements: relax torch~=2.6.0 to torch>=2.6.0 for convert_hf_to_gguf The ~=2.6.0 operator resolves to >=2.6.0, <2.7.0, which fails on PyPI for platform/CPython combinations where 2.6.x is not present. The accompanying comment already says 'PyTorch 2.6.0 or later', so the looser >=2.6.0 matches the documented intent and unblocks pip install -r requirements/requirements-convert_hf_to_gguf.txt. Fixes #23408 * requirements: bump torch floor to 2.11.0 per maintainer * requirements: pin torch to ==2.11.0 per project policy * requirements: pin mtmd torch and torchvision to 2.11.0/0.26.0 per project policy * requirements: suppress check_requirements pin warning on mtmd The check_requirements script flags '==' on lines in files matched by */**/requirements*.txt. Append the documented suppression comment to the pinned torch and torchvision lines (and to the s390x platform marker lines) so the check passes while keeping the pins required by project policy. * ty: silence Tensor/Module union check on model[0].auto_model With torch 2.11.0 stubs, nn.Sequential.__getitem__ now returns Tensor | Module rather than Module, so model[0].auto_model fails ty on the SentenceTransformer code path. The runtime behavior is unchanged because SentenceTransformer always wraps a Module at index 0. Adding a targeted unresolved-attribute ignore keeps the type-check green without altering behavior. A follow-up issue tracks typing the variable explicitly. |
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