# versions.env - authoritative build inputs for Solar Open2 250B NVFP4 (Nota)
# Every entry is a tag or exact version - no :latest, no main, no ranges.
#
# Stack mirrors glm52-nf3-hybrid (cu130 / aarch64 / sm_121a) minus the b12x
# suite: Solar is a stock vLLM serve using the UpstageAI solar_open2 fork
# (solar_open2 reasoning/tool parsers + SolarOpen2TemplateLogitsProcessor).
# NVFP4 (compressed-tensors) is auto-detected from the model config.
#
# locks/ and checksums/ are shared with glm52-nf3-hybrid (same base stack).

CUDA_BASE_IMAGE=nvidia/cuda:13.2.0-devel-ubuntu24.04
CUDA_BASE_DIGEST=sha256:a5b6256e470196fc1d5f8f62139d57d3662867746dfe1cb352d7652024047020

# Python / uv
UV_VERSION=0.11.28

# PyTorch stack (cu130 index works on CUDA 13.2 for aarch64)
TORCH_VERSION=2.11.0
TORCHVISION_VERSION=0.26.0
TORCHAUDIO_VERSION=2.11.0
TRITON_VERSION=3.6.0
PYTORCH_INDEX_URL=https://download.pytorch.org/whl/cu130
PYPI_INDEX_URL=https://pypi.org/simple

# NCCL
NCCL_REPO=https://github.com/NVIDIA/nccl.git
NCCL_REF=v2.30.7-1

# vLLM (UpstageAI fork — solar_open2 parsers + logits processor)
VLLM_REPO=https://github.com/UpstageAI/vllm.git
VLLM_REF=v0.22.0-solar-open2
VLLM_COMMIT=00907fc9b982f973808a0193ad0f8c61fbb62854

# FlashInfer
FLASHINFER_REPO=https://github.com/flashinfer-ai/flashinfer.git
FLASHINFER_REF=v0.6.12

# cutlass-dsl (4.5.3 for firmware 580.159.03 compat)
CUTLASS_DSL_VERSION=4.5.3

# Target GPU architecture (DGX Spark = sm_121a)
TORCH_CUDA_ARCH_LIST=12.1a
FLASHINFER_CUDA_ARCH_LIST=12.1a