Datasets:

codemaivanngu
/

gold-b200-runtime

license: other
license_name: mixed-third-party-runtime-licenses
pretty_name: GOLD B200 portable runtime
tags:
  - runtime
  - gold
  - knowledge-distillation

GOLD B200 portable runtime

Release gold-runtime-b200-cu130-20261015-r1. Linux x86_64, glibc>=2.35; standalone Python3.12.12, TRL1.15.0, Torch2.11.0+cu130, Transformers5.6.0 and vLLM0.24.0. Archive: 4,548,092,673 bytes, SHA256 4f78b026233a0f3e7bee2bd5d18ea4db01765644dd3b1aeeec2de1abcdebfbf6. Unpacked regular files: 9,682,853,603 bytes. Reserve additional disk for the downloaded archive, node-local JIT caches, real weights and run outputs.

CPU, B200 CUDA/native kernels, two GOLD optimizer steps with HF and colocated vLLM, and clean archive restore/CLI have passed. Tiny random Llama/Qwen2 models are synthetic qualification fixtures. This is runtime implementation validation, not paper reproduction. Production models/data, CUDA toolkit, NVIDIA drivers, credentials and JIT caches are excluded. Dependencies retain their own licenses; this bundle does not relicense third-party software. Full anonymous download with eight HTTP-range workers and every manifest file SHA256 also passed.

Download and install

Immutable payload revision: 1ff8becb57cb28c4d92a09971a6123b210b2e1d0. All release files are under releases/gold-runtime-b200-cu130-20261015-r1/. Anonymous download requires no HF token. Use the company-approved proxy from your existing environment; no proxy endpoint is embedded here.

Download download_release.py and run it with an existing Python3.10+ interpreter:

python3 download_release.py --revision 1ff8becb57cb28c4d92a09971a6123b210b2e1d0 --output /your/node-local/gold-payload --workers 8

This downloader verifies the manifest and all file SHA256s and uses parallel HTTP ranges for the runtime archive. It never installs or uses GPUs. From the downloaded directory, sha256sum -c SHA256SUMS verifies the original payload; python3 install.py verifies again, refuses existing runtime paths, restores only the documented /opt paths and runs the CPU gate with GPUs hidden. Creating those /opt paths requires the appropriate node permissions. The installer has Python3.10-compatible syntax; clean restore was executed using existing Python3.12.12. It does not install drivers or start training.

Before GPU execution, obtain the actual node/GPU assignment and run the documented node_gate.py UUID/occupancy preflight. Empty cards are not leases. Company driver/toolkit/compiler compatibility still needs the same per-node CUDA/HF/vLLM gates. No company node has been qualified by this release.

The pinned upstream source is TRL commit dae7b6adc8d2729cfa8d21bc8480656ede769240. Its example calls a nonexistent GOLDTrainer.end(): the declared gold_entrypoint.py cleanup shim closes only its owned generation engine and does not alter loss/data/hyperparameters. See the release README, manifest, uv.lock, qualification.json and restore-receipt.json for details.