versions.env 1.5 KB

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  1. # Authoritative build inputs — GLM-5.3-Flash r12 (jovian-judgement) clean build.
  2. # Every entry is a tag or exact version — no :latest, no main, no ranges.
  3. # Pattern: solar-open2-nvfp4 (raw CUDA base, staged wheel builds, ccache/uv
  4. # buildx caches) — content r12-specific per the rtx6kpro source contract.
  5. # CUDA base (aarch64; digest-pinned, tested by solar-open2-nvfp4)
  6. CUDA_BASE_IMAGE=nvidia/cuda:13.2.0-devel-ubuntu24.04
  7. CUDA_BASE_DIGEST=sha256:a5b6256e470196fc1d5f8f62139d57d3662867746dfe1cb352d7652024047020
  8. # Python / uv
  9. UV_VERSION=0.11.28
  10. PYPI_INDEX_URL=https://pypi.org/simple
  11. PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cu130
  12. # Torch stack — the fork's requirements/cuda.txt pins (r12 era, cu130 aarch64)
  13. TORCH_VERSION=2.13.0
  14. TORCHVISION_VERSION=0.28.0
  15. TORCHAUDIO_VERSION=2.11.0
  16. # FlashInfer — the fork's cuda.txt uses flashinfer-python==0.6.17 (PyPI);
  17. # flashinfer-cubin is NOT a build dep (setup.py skips it; the runtime
  18. # fetches cubins when the package is absent).
  19. FLASHINFER_VERSION=0.6.17
  20. # vLLM — local-inference-lab fork, dev/jovian-judgement base + PR heads
  21. VLLM_REPO=https://github.com/local-inference-lab/vllm.git
  22. VLLM_BASE_REF=54f6e9826c20ef06ed65d838c0ad497ad0abdecf
  23. VLLM_PRS="550 552 553 554 555 557"
  24. # B12X — master + PR heads (pure-python wheel; CuTe-DSL JIT kernels)
  25. B12X_REPO=https://github.com/local-inference-lab/b12x.git
  26. B12X_BASE_REF=139e04048bc3bb4f7210c99e7184d8d2f0e345e7
  27. B12X_PRS="260 267 268 269 270"
  28. # Target GPU architecture (DGX Spark = sm_121a)
  29. TORCH_CUDA_ARCH_LIST=12.1a