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chujiezheng/Smaug-Llama-3-70B-Instruct-ExPO
Smaug-Llama-3-70B-Instruct-ExPO is a text generation model from chujiezheng. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.
The extrapolated (ExPO) model based on abacusai/Smaug-Llama-3-70B-Instruct and meta-llama/Meta-Llama-3-70B-Instruct, as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
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From the Hugging Face model README
The extrapolated (ExPO) model based on abacusai/Smaug-Llama-3-70B-Instruct and meta-llama/Meta-Llama-3-70B-Instruct, as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating (alpha = 0.3) from the weights of the SFT and DPO/RLHF checkpoints, achieving superior alignment with human preference.
Evaluation results on the AlpacaEval 2.0 benchmark (you can find the evaluation outputs on the official GitHub repo):
| Win Rate (Ori) | LC Win Rate (Ori) | Win Rate (+ ExPO) | LC Win Rate (+ ExPO) | |
|---|---|---|---|---|
HuggingFaceH4/zephyr-7b-alpha | 6.7% | 10.0% | 10.6% | 13.6% |
HuggingFaceH4/zephyr-7b-beta | 10.2% | 13.2% | 11.1% | 14.0% |
berkeley-nest/Starling-LM-7B-alpha | 15.0% | 18.3% | 18.2% | 19.5% |
Nexusflow/Starling-LM-7B-beta | 26.6% | 25.8% | 29.6% | 26.4% |
snorkelai/Snorkel-Mistral-PairRM | 24.7% | 24.0% | 28.8% | 26.4% |
RLHFlow/LLaMA3-iterative-DPO-final | 29.2% | 36.0% | 32.7% | 37.8% |
internlm/internlm2-chat-1.8b | 3.8% | 4.0% | 5.2% | 4.3% |
internlm/internlm2-chat-7b | 20.5% | 18.3% | 28.1% | 22.7% |
internlm/internlm2-chat-20b | 36.1% | 24.9% | 46.2% | 27.2% |
allenai/tulu-2-dpo-7b | 8.5% | 10.2% | 11.5% | 11.7% |
allenai/tulu-2-dpo-13b | 11.2% | 15.5% | 15.6% | 17.6% |
allenai/tulu-2-dpo-70b | 15.4% | 21.2% | 23.0% | 25.7% |
Evaluation results on the MT-Bench benchmark (you can find the evaluation outputs on the official GitHub repo):
| Original | + ExPO | |
|---|---|---|
HuggingFaceH4/zephyr-7b-alpha | 6.85 | 6.87 |
HuggingFaceH4/zephyr-7b-beta | 7.02 | 7.06 |
berkeley-nest/Starling-LM-7B-alpha | 7.82 | 7.91 |
Nexusflow/Starling-LM-7B-beta | 8.10 | 8.18 |
snorkelai/Snorkel-Mistral-PairRM | 7.63 | 7.69 |
RLHFlow/LLaMA3-iterative-DPO-final | 8.08 | 8.45 |
internlm/internlm2-chat-1.8b | 5.17 | 5.26 |
internlm/internlm2-chat-7b | 7.72 | 7.80 |
internlm/internlm2-chat-20b | 8.13 | 8.26 |
allenai/tulu-2-dpo-7b | 6.35 | 6.38 |
allenai/tulu-2-dpo-13b | 7.00 | 7.26 |
allenai/tulu-2-dpo-70b | 7.79 | 8.03 |