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README.md
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| Model | Size | Alignment | MT-Bench (score) | AlpacaEval (win rate %) |
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| **Tulu-v2-7b** πͺ | **7B** | **
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| **Tulu-v2-dpo-7b** πͺ | **7B** | **
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| Zephyr-7b-Ξ² πͺ | 7B | dDPO | 7.34 | 90.60 |
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| **Tulu-v2-13b** πͺ | **13B** | **dDPO** | **6.70** | **78.9** |
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| **Tulu-v2-dpo-13b** πͺ | **13B** | **dDPO** | **7.00** | **89.5** |
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| Falcon-Instruct | 40B |dSFT |5.17 |45.71|
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| Guanaco | 65B | SFT |6.41| 71.80|
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| Llama2-Chat | 70B |RLHF |6.86| 92.66|
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| Vicuna v1.3 | 33B |dSFT |7.12 |88.99|
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| WizardLM v1.0 | 70B |dSFT |7.71 |-|
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| Xwin-LM v0.1 | 70B |dPPO |- |95.57|
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| **Tulu-v2-70b** πͺ | **70B** | **dDPO** | **7.49** | **86.6** |
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| **Tulu-v2-dpo-70b** πͺ | **70B** | **dDPO** | **7.89** | **95.1** |
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| GPT-3.5-turbo | - |RLHF |7.94 |89.37|
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| Claude 2 | - |RLHF |8.06| 91.36|
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| GPT-4 | -| RLHF |8.99| 95.28|
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## Input Format
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| Model | Size | Alignment | MT-Bench (score) | AlpacaEval (win rate %) |
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| **Tulu-v2-7b** πͺ | **7B** | **SFT** | **6.30** | **73.9** |
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| **Tulu-v2-dpo-7b** πͺ | **7B** | **DPO** | **6.29** | **85.1** |
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| **Tulu-v2-13b** πͺ | **13B** | **SFT** | **6.70** | **78.9** |
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| **Tulu-v2-dpo-13b** πͺ | **13B** | **DPO** | **7.00** | **89.5** |
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| **Tulu-v2-70b** πͺ | **70B** | **SFT** | **7.49** | **86.6** |
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| **Tulu-v2-dpo-70b** πͺ | **70B** | **DPO** | **7.89** | **95.1** |
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## Input Format
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