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--- |
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license: apache-2.0 |
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base_model: swiss-ai/Apertus-70B-Instruct-2509 |
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base_model_relation: quantized |
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quantized_by: turboderp |
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tags: |
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- exl3 |
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--- |
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EXL3 quants of [Apertus-70B-Instruct-2509](https://huggingface.co/swiss-ai/Apertus-70B-Instruct-2509) |
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[2.00 bits per weight](https://huggingface.co/turboderp/Apertus-70B-Instruct-2509-exl3/tree/2.0bpw) |
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[2.50 bits per weight](https://huggingface.co/turboderp/Apertus-70B-Instruct-2509-exl3/tree/2.5bpw) |
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[3.00 bits per weight](https://huggingface.co/turboderp/Apertus-70B-Instruct-2509-exl3/tree/3.0bpw) |
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[3.50 bits per weight](https://huggingface.co/turboderp/Apertus-70B-Instruct-2509-exl3/tree/3.5bpw) |
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[4.00 bits per weight](https://huggingface.co/turboderp/Apertus-70B-Instruct-2509-exl3/tree/4.0bpw) |
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[5.00 bits per weight](https://huggingface.co/turboderp/Apertus-70B-Instruct-2509-exl3/tree/5.0bpw) |
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[6.00 bits per weight](https://huggingface.co/turboderp/Apertus-70B-Instruct-2509-exl3/tree/6.0bpw) |
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Quick sanity checks: |
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. | MMLU | 95% CI |
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----------|--------------|------------ |
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2.0 bpw | 58.90% | +/- 1.50% |
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2.5 bpw | 64.20% | +/- 1.46% |
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3.0 bpw | 67.00% | +/- 1.43% |
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3.5 bpw | 67.70% | +/- 1.43% |
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4.0 bpw | 69.40% | +/- 1.40% |
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5.0 bpw | 70.30% | +/- 1.39% |
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6.0 bpw | 69.60% | +/- 1.40% |
