Mistral7B-PairRM-SPPO-Iter3-imatrix-GGUF

Quantizations of https://huggingface.co/UCLA-AGI/Mistral7B-PairRM-SPPO-Iter3

Inference Clients/UIs

• llama.cpp
• KoboldCPP
• text-generation-webui
• ollama

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From original readme

This model was developed using Self-Play Preference Optimization at iteration 3, based on the mistralai/Mistral-7B-Instruct-v0.2 architecture as starting point. We utilized the prompt sets from the openbmb/UltraFeedback dataset, splited to 3 parts for 3 iterations by snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset. All responses used are synthetic.

This is the model reported in the paper , with K=5 (generate 5 responses per iteration). We attached the Arena-Hard eval results in this model page.

Links to Other Models

• Mistral7B-PairRM-SPPO-Iter1
• Mistral7B-PairRM-SPPO-Iter2
• Mistral7B-PairRM-SPPO-Iter3
• Mistral7B-PairRM-SPPO

Model Description

• Model type: A 7B parameter GPT-like model fine-tuned on synthetic datasets.
• Language(s) (NLP): Primarily English
• License: Apache-2.0
• Finetuned from model: mistralai/Mistral-7B-Instruct-v0.2