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README.md
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3. The AWQ repack of the 50 modulation layers re-derives scales; groups
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GPTQ pushed to -8 take one extra bounded rounding.
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## Credits and license
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Weights derive from [MiniMaxAI/MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3)
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3. The AWQ repack of the 50 modulation layers re-derives scales; groups
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GPTQ pushed to -8 take one extra bounded rounding.
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## Independently verified (cold download)
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Reproduced on a **separate, fresh A100 80GB** by downloading only this
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repo's files plus the base model — the exact user path:
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| | BF16 (offloaded) | this release (resident) |
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| generation | 496.7 s | **350.9 s (1.42x)** |
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| peak VRAM | 65.2 GB | 54.6 GB (49.2 steady) |
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Raw log: `verified.json` in this repo. First-build A100 measured 1.52x;
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host-to-host variance puts the honest claim at **1.4-1.5x**.
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## Credits and license
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Weights derive from [MiniMaxAI/MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3)
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