recipes/docker-images/jovian-judgement/versions.env

# Authoritative build inputs — GLM-5.3-Flash r27 (jovian-judgement) clean build.
# Every entry is a tag, exact version, branch-name at a pinned commit, or a
# verified tree hash — no :latest, no ranges, no floating tips.
#
# Reproducibility contract (clone-at-pin, NO staged tarballs): the Dockerfile
# clones every source at the pins below inside the build and GATES each one
# (HEAD commit + tree hash must match, pinned deps must appear verbatim in the
# tree's cmake). A fresh clone of this repository + `bash build.sh` reproduces
# the image. Provenance: local-inference-lab/rtx6kpro master
# models/glm-5.3-flash/build/glm53-jovian-judgement-community-20260906-r27.source.lock
# (embedded at /opt/glm53-flash/source.lock in their image).
#
# Runtime deviation from the RTX PRO 6000 lock (documented, GB10 adaptation):
# their qualified runtime = CUDA 13.3 / flashinfer 0.6.18+cu133 / NCCL 2.31.2
# on x86_64 sm_120; ours = CUDA 13.2 devel aarch64 / torch 2.13.0+cu130 /
# flashinfer 0.6.17 — the SAME pins the r27 tree's requirements/cuda.txt asks
# for (torch==2.13.0, flashinfer-python==0.6.17), proven on GB10 sm_121a.

# CUDA base (aarch64; digest-pinned, tested by solar-open2-nvfp4 / r18)
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

# apt mirror for the apt-base stage: current = live ports.ubuntu.com
# (the canonical arm64 mirror — the CUDA base image's own default; fast and
# reliable; packages install by pinned name, versions float — the engine
# stack is pinned by the source pins anyway). snapshot = the pinned
# point-in-time mirror with exact versions (strictly reproducible, but
# snapshot.ubuntu.com is slow and 503s: 12-min stall, 2026-09-08).
APT_SOURCE=current

# DeepGEMM — cloned in-build; pin gated in fetch-deps.sh against the tree's
# own deepgemm.cmake declaration (same pin in the r27 tree).
DEEPGEMM_REPO=https://github.com/deepseek-ai/DeepGEMM.git
DEEPGEMM_BRANCH=nv_dev
DEEPGEMM_REF=8b1392b978f5a03c828dd1711090d7fb50958b8a

# Torch stack — the fork's requirements/cuda.txt pins (same in r27)
TORCH_VERSION=2.13.0
TORCHVISION_VERSION=0.28.0
TORCHAUDIO_VERSION=2.11.0

# FlashInfer — the fork's cuda.txt pin (0.6.17), unchanged from r18
FLASHINFER_VERSION=0.6.17

# vLLM — r27 source lock: pinned by COMMIT + tree hash (branch name
# integration/glm53-r27-release-20260906 in comments only — branches get
# renamed, the SHA is the contract; merge order documented in vLLM issue 651).
VLLM_REPO=https://github.com/voipmonitor/vllm.git
# branch integration/glm53-r27-release-20260906
VLLM_PIN=63a82f8d323e8538cbe6f88ae1812a1c01577a0f
VLLM_TREE=f54cd9ca2b9434727715197d32150b75e82a9ebf
VLLM_PRETEND_VERSION=0.1.dev0+glm53.r27.63a82f8d

# B12X — r27 source lock, same SHA+tree pinning (branch
# integration/glm53-r27-release-20260906). Already includes RoCEnante
# (comm.roce: PR #295 merge 9199151d + two-rail striping aa90a277 + DSV4
# graph-collective opt 1a7e3ec2 + PR #315 gather-geometry b58f34ea) — see
# specs/tech-architecture/glm53-recipe-state.md (RoCEnante section).
B12X_REPO=https://github.com/voipmonitor/b12x.git
B12X_PIN=e8ad299b174f16e2e8fb5879bea272f4efbb53f2
B12X_TREE=f3cd8a9eb00d3226a1acbbed1efedf10cc1c3e71
B12X_PRETEND_VERSION=0.1.dev0+glm53b12x.r27.e8ad299b

# LMCache — r27 source lock: pinned by COMMIT + tree hash (the lock's
# integration branch integration/glm53-r26-current-head-20260905 was renamed
# upstream on 2026-09-06 — the pin is the commit; branch names are not the
# contract). Qualified tree = 008ac3e0, verified at clone time.
LMCACHE_REPO=https://github.com/local-inference-lab/LMCache.git
LMCACHE_PIN=822330db1160d2847538d53f9e6f4eeee2404f4d
LMCACHE_TREE=008ac3e09ae5917aa0849147480d7bd5b9f8b37a
LMCACHE_VERSION=0.5.5.dev0+glm53cache.engine.822330db

# Target GPU architecture (DGX Spark = sm_121a) — also used by the LMCache build.
TORCH_CUDA_ARCH_LIST=12.1a
BUILD_JOBS=4