ExPO extrapolation method
According to the card, the model extrapolates from SFT and DPO/RLHF checkpoint weights with alpha of 0.3, following the Weak-to-Strong Extrapolation paper.
Open Source Model Profile · chujiezheng
This chujiezheng model is a 7.24B-parameter Mistral text-generation release. The card describes ExPO extrapolation with alpha 0.3 and reports AlpacaEval 2.0 figures.
Mistral7B-PairRM-SPPO-ExPO is published by chujiezheng as a text-generation model. The captured configuration identifies MistralForCausalLM with a mistral model type, and Safetensors metadata reports 7,241,732,096 parameters. According to the model card, it is an ExPO extrapolation of UCLA-AGI/Mistral7B-PairRM-SPPO and Mistral-7B-Instruct-v0.2 with alpha of 0.3, and the captured license is Apache-2.0.
According to the card, the model extrapolates from SFT and DPO/RLHF checkpoint weights with alpha of 0.3, following the Weak-to-Strong Extrapolation paper.
The card reports 35.4% win rate and 31.8% length-controlled win rate on AlpacaEval 2.0, against 32.2% and 30.5% for the original Mistral7B-PairRM-SPPO.
Captured config identifies MistralForCausalLM and mistral, with Safetensors metadata reporting 7,241,732,096 parameters.
The captured record and hub tags both list an Apache-2.0 license.
Source: chujiezheng/Mistral7B-PairRM-SPPO-ExPO
Captured: Unknown. Processed: 2026-09-07T19:34:42.537685+00:00.
Mistral7B-PairRM-SPPO-ExPO The extrapolated (ExPO) model based on UCLA-AGI/Mistral7B-PairRM-SPPO and mistralai/Mistral-7B-Instruct-v0.2 , 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. This extrapolated model achieves the 35.4% win rate and 31.8% LC win rate on AlpacaEval 2.0 , outperforming the original Mistral7B-PairRM-SPPO 's 32.2% and 30.5%, respectively. Evaluation Results Evaluation results on the AlpacaEval 2.0 benchmark (you can find…
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