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Download STATUS.md from FluidInference/system-one-gemma-coreml: direct link, hf CLI and curl.
- Browser
- Download file 938 Bytes
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https://huggingface.co/FluidInference/system-one-gemma-coreml/resolve/main/STATUS.md
- Command line
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hf download hf://FluidInference/system-one-gemma-coreml/STATUS.md
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curl -L -o STATUS.md https://huggingface.co/FluidInference/system-one-gemma-coreml/resolve/main/STATUS.md
938 Bytes
| # System One Gemma status — 2026-09-22 | |
| - `blocked_gated_base`: authenticated `hf_hub_download("google/gemma-3-270m", "config.json", revision="9b0cfec892e2bc2afd938c98eabe4e4a7b1e0ca1")` returned `GatedRepoError` HTTP 403. | |
| - The exact upstream trained adapter, score-head tensor, SHA-256 hashes, serving renderer, 256-token limit, and 2.35 temperature are pinned and source-audited. | |
| - The Core ML exporter and native-vs-Core ML parity runner are prepared but **have not executed**. There is no validated Core ML package, speed number, ANE placement, or Decision Index score. | |
| - Trained-weight redistribution needs an explicit rights determination. This public toolkit excludes the adapter and base weights. | |
| - Next: account owner accepts the [Gemma access terms](https://huggingface.co/google/gemma-3-270m). Then fetch exact base, run conversion and parity, review Gemma and upstream weight terms before publishing any converted weights. | |