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README.md
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@@ -39,49 +39,16 @@ Below are the perplexity scores for the EXL2 models. A lower score is better.
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Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML, Mistral, Vicuna-v1.1 and Vicuna-v0 prompt templates. A higher score is better.
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| 5.0 |
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| 4.5 | Vicuna-v1.1 | 77.04 |
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| 4.5 | Vicuna-v0 | 74.6 |
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| 4.0 | ChatML | 80.78 |
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| 4.0 | Alpaca | 79.53 |
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| 4.0 | Mistral | 82.78 |
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| 4.0 | Vicuna-v1.1 | 79.17 |
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| 4.0 | Vicuna-v0 | 76.41 |
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| 3.5 | ChatML | 81.11 |
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| 3.5 | Alpaca | 82.42 |
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| 3.5 | Mistral | 82.34 |
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| 3.5 | Vicuna-v1.1 | 81.04 |
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| 3.5 | Vicuna-v0 | 78.09 |
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| 3.0 | ChatML | 79.13 |
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| 3.0 | Alpaca | 77.74 |
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| 3.0 | Mistral | 80.11 |
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| 3.0 | Vicuna-v1.1 | 79.38 |
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| 3.0 | Vicuna-v0 | 77.25 |
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| 2.75 | ChatML | 79.6 |
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| 2.75 | Alpaca | 77.85 |
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| 2.75 | Mistral | 79.71 |
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| 2.75 | Vicuna-v1.1 | 76.93 |
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| 2.75 | Vicuna-v0 | 75.91 |
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| 2.5 | ChatML | 77.45 |
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| 2.5 | Alpaca | 77.0 |
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| 2.5 | Mistral | 78.4 |
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| 2.5 | Vicuna-v1.1 | 75.86 |
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| 2.5 | Vicuna-v0 | 75.25 |
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| 2.25 | ChatML | 77.18 |
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| 2.25 | Alpaca | 74.06 |
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| 2.25 | Mistral | 76.75 |
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| 2.25 | Vicuna-v1.1 | 75.56 |
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| 2.25 | Vicuna-v0 | 74.28 |
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### Perplexity Script
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Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML, Mistral, Vicuna-v1.1 and Vicuna-v0 prompt templates. A higher score is better.
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| Quant Size | ChatML | Alpaca | Mistral | Vicuna-v1.1 | Vicuna-v0 |
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|------------|--------|--------|---------|-------------|-----------|
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| 5.0 | 79.91 | 81.45 | 81.11 | 78.37 | 76.64 |
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| 4.5 | 80.64 | 80.9 | 81.65 | 77.04 | 74.6 |
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| 4.0 | 80.78 | 79.53 | 82.78 | 79.17 | 76.41 |
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| 3.5 | 81.11 | 82.42 | 82.34 | 81.04 | 78.09 |
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| 3.0 | 79.13 | 77.74 | 80.11 | 79.38 | 77.25 |
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| 2.75 | 79.6 | 77.85 | 79.71 | 76.93 | 75.91 |
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| 2.5 | 77.45 | 77.0 | 78.4 | 75.86 | 75.25 |
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| 2.25 | 77.18 | 74.06 | 76.75 | 75.56 | 74.28 |
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### Perplexity Script
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