---
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`](https://huggingface.co/datasets/codemaivanngu/gold-b200-runtime/resolve/1ff8becb57cb28c4d92a09971a6123b210b2e1d0/releases/gold-runtime-b200-cu130-20261015-r1/download_release.py)
and run it with an existing Python3.10+ interpreter:

```bash
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.