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- # Authoritative build inputs — GLM-5.3-Flash r12 (jovian-judgement) clean build.
- # Every entry is a tag or exact version — no :latest, no main, no ranges.
- # Pattern: solar-open2-nvfp4 (raw CUDA base, staged wheel builds, ccache/uv
- # buildx caches) — content r12-specific per the rtx6kpro source contract.
- # CUDA base (aarch64; digest-pinned, tested by solar-open2-nvfp4)
- CUDA_BASE_IMAGE=nvidia/cuda:13.2.0-devel-ubuntu24.04
- CUDA_BASE_DIGEST=sha256:a5b6256e470196fc1d5f8f62139d57d3662867746dfe1cb352d7652024047020
- # Python / uv
- UV_VERSION=0.11.28
- PYPI_INDEX_URL=https://pypi.org/simple
- PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cu130
- # Torch stack — the fork's requirements/cuda.txt pins (r12 era, cu130 aarch64)
- TORCH_VERSION=2.13.0
- TORCHVISION_VERSION=0.28.0
- TORCHAUDIO_VERSION=2.11.0
- # FlashInfer — the fork's cuda.txt uses flashinfer-python==0.6.17 (PyPI);
- # flashinfer-cubin is NOT a build dep (setup.py skips it; the runtime
- # fetches cubins when the package is absent).
- FLASHINFER_VERSION=0.6.17
- # vLLM — local-inference-lab fork, dev/jovian-judgement base + PR heads.
- # PR 550 closed (unmerged), which deleted its refs/pull/550/head pseudo-ref,
- # so pin the PR head commits by SHA (GitHub keeps the objects).
- VLLM_REPO=https://github.com/local-inference-lab/vllm.git
- VLLM_BASE_REF=54f6e9826c20ef06ed65d838c0ad497ad0abdecf
- VLLM_PR_HEADS="550:52006e858766911cebccc8a7b2b21a260f5c97f2 552:65ef1cd4d1d595a6b54698e3c2983ed4af421445 553:c6b1530e895e5188b6f57109db1f609f5615ce19 554:88cff3d5a98b95df9ceeff77aa676ef2f18a03b6 555:78bfa29002d4d7a2d6c16877074af449ba1b0ce7 557:3ef77b3125253d6f797f1524f9a52ae478dad4f2"
- # B12X — master + PR heads (pure-python wheel; CuTe-DSL JIT kernels)
- B12X_REPO=https://github.com/local-inference-lab/b12x.git
- B12X_BASE_REF=139e04048bc3bb4f7210c99e7184d8d2f0e345e7
- B12X_PRS="260 267 268 269 270"
- # DeepGEMM — fetched by vllm's cmake; pre-cloned (raw-SHA fetches of a
- # non-default-branch tip 404 over GitHub's git protocol)
- DEEPGEMM_REPO=https://github.com/deepseek-ai/DeepGEMM.git
- DEEPGEMM_BRANCH=nv_dev
- DEEPGEMM_REF=8b1392b978f5a03c828dd1711090d7fb50958b8a
- # Target GPU architecture (DGX Spark = sm_121a)
- TORCH_CUDA_ARCH_LIST=12.1a
- BUILD_JOBS=4
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