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README.md
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---
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A preview version of FuseChat-3.0, under testing...
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Training configs:
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```yaml
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# Model arguments
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model_name_or_path: AALF/FuseChat-Llama-3.1-8B-SFT
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seed: 42
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warmup_ratio: 0.1
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save_only_model: true
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```
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---
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A preview version of FuseChat-3.0, under testing...
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## Training configs:
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```yaml
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# Model arguments
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model_name_or_path: AALF/FuseChat-Llama-3.1-8B-SFT
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seed: 42
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warmup_ratio: 0.1
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save_only_model: true
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```
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## Evaluation Results
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| Datasets | Llama3.1-8B-Instruct | FuseChat-Llama-3.1-8B-SFT | FuseChat-Llama-3.1-8B-Instruct |
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|---------------------------------|----------------------|---------------------------|--------------------------------|
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| AlpacaEval-2 (LC/WR) | 28.3/28.7 | 41.3/37.7 | 65.4/63.3 |
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| Arena-Hard (WR/SC) | 28.1/23.8 | 38.7/29 | 58.2/46.4 |
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| MT-Bench | 8.38 | 8.54 | 9 |
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| AlignBench v1.1 | 4.61 | 6.25 | 6.69 |
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| LiveBench 0831 | 27.6 | 30.2 | 32 |
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| GSM8K | 85.9 | 87 | 88 |
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| MATH | 50.7 | 54.7 | 55.2 |
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| AMC 23 | 25 | 30 | 37.5 |
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| MMLU-Pro | 50 | 47.8 | 49.2 |
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| MMLU-redux | 67.2 | 68.4 | 69.2 |
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| GPQA-Diamond | 33.8 | 37.9 | 34.9 |
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| HumanEval | 69.5 | 69.5 | 71.3 |
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| MBPP | 75.4 | 71.4 | 72 |
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| LiveCodeBench 2408-2411 (all/esay) | 12.3/40.5 | 12.6/39 | 13.1/43.2 |
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