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README.md
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@@ -41,36 +41,36 @@ Below are the perplexity scores for the EXL2 models. A lower score is better.
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## EQ Bench
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Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML and Vicuna
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| Quant Size | Instruct Template | Score |
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|------------|-------------------|-------|
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| 8.0 | Alpaca | 75.02 |
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| 8.0 | ChatML | 73.82 |
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| 8.0 | Vicuna
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| 7.0 | Alpaca | 74.96 |
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| 7.0 | ChatML | 74.22 |
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| 7.0 | Vicuna
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| 6.0 | Alpaca | 75.11 |
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| 6.0 | ChatML | 74.29 |
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| 6.0 | Vicuna
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| 5.0 | Alpaca | 74.11 |
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| 5.0 | ChatML | 72.74 |
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| 5.0 | Vicuna
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| 4.5 | Alpaca | 73.18 |
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| 4.5 | ChatML | 73.62 |
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| 4.5 | Vicuna
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| 4.0 | Alpaca | 71.85 |
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| 4.0 | ChatML | 73.99 |
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| 4.0 | Vicuna
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| 3.5 | Alpaca | 73.73 |
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| 3.5 | ChatML | 72.07 |
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| 3.5 | Vicuna
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### Vicuna
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This is the Vicuna
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```yaml
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user: "USER:"
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## EQ Bench
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Here are the EQ Bench scores for the EXL2 quants using Alpaca, ChatML and Chat-Vicuna prompt templates. A higher score is better.
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| Quant Size | Instruct Template | Score |
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|------------|-------------------|-------|
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| 8.0 | Alpaca | 75.02 |
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| 8.0 | ChatML | 73.82 |
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| 8.0 | Chat-Vicuna | 73.53 |
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| 7.0 | Alpaca | 74.96 |
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| 7.0 | ChatML | 74.22 |
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| 7.0 | Chat-Vicuna | 72.71 |
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| 6.0 | Alpaca | 75.11 |
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| 6.0 | ChatML | 74.29 |
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| 6.0 | Chat-Vicuna | 74.16 |
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| 5.0 | Alpaca | 74.11 |
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| 5.0 | ChatML | 72.74 |
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| 5.0 | Chat-Vicuna | 73.28 |
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| 4.5 | Alpaca | 73.18 |
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| 4.5 | ChatML | 73.62 |
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| 4.5 | Chat-Vicuna | 73.32 |
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| 4.0 | Alpaca | 71.85 |
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| 4.0 | ChatML | 73.99 |
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| 4.0 | Chat-Vicuna | 74.74 |
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| 3.5 | Alpaca | 73.73 |
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| 3.5 | ChatML | 72.07 |
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| 3.5 | Chat-Vicuna | 73.56 |
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### Chat-Vicuna Template
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This is the Chat-Vicuna template yaml that was used in EQ bench. It was tested in Text Generation Web UI and seemed to produce accurate results.
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```yaml
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user: "USER:"
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