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tulu-2-dpo-70b

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@@ -43,12 +43,12 @@ At the time of release, the Tulu-v2-dpo-70b model is approximately equal to GPT4
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  All smaller DPO'd models have strong performance per model size in the category and with lower verbosity (average completion length).
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  | Model | Size | Alignment | MT-Bench (score) | AlpacaEval (win rate %) |
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  |-------------|-----|----|---------------|--------------|
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- | **Tulu-v2-7b** πŸͺ | **7B** | **dDPO** | **TODO** | **TODO** |
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- | **Tulu-v2-13b** πŸͺ | **13B** | **dDPO** | **TODO** | **TODO** |
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- | **Tulu-v2-70b** πŸͺ | **70B** | **dDPO** | **TODO** | **TODO** |
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- | **Tulu-v2-dpo-7b** πŸͺ | **7B** | **dDPO** | **TODO** | **TODO** |
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- | **Tulu-v2-dpo-13b** πŸͺ | **13B** | **dDPO** | **TODO** | **TODO** |
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- | **Tulu-v2-dpo-70b** πŸͺ | **70B** | **dDPO** | **TODO** | **TODO** |
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  | StableLM-Tuned-Ξ± | 7B| dSFT |2.75| -|
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  | MPT-Chat | 7B |dSFT |5.42| -|
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  | Xwin-LMv0.1 | 7B| dPPO| 6.19| 87.83|
 
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  All smaller DPO'd models have strong performance per model size in the category and with lower verbosity (average completion length).
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  | Model | Size | Alignment | MT-Bench (score) | AlpacaEval (win rate %) |
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  |-------------|-----|----|---------------|--------------|
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+ | **Tulu-v2-7b** πŸͺ | **7B** | **dDPO** | **TODO** | **TODO** |
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+ | **Tulu-v2-13b** πŸͺ | **13B** | **dDPO** | **TODO** | **TODO** |
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+ | **Tulu-v2-70b** πŸͺ | **70B** | **dDPO** | **TODO** | **TODO** |
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+ | **Tulu-v2-dpo-7b** πŸͺ | **7B** | **dDPO** | **TODO** | **TODO** |
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+ | **Tulu-v2-dpo-13b** πŸͺ | **13B** | **dDPO** | **TODO** | **TODO** |
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+ | **Tulu-v2-dpo-70b** πŸͺ | **70B** | **dDPO** | **TODO** | **TODO** |
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  | StableLM-Tuned-Ξ± | 7B| dSFT |2.75| -|
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  | MPT-Chat | 7B |dSFT |5.42| -|
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  | Xwin-LMv0.1 | 7B| dPPO| 6.19| 87.83|