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Any 4th gen in sight for the 7B ? with a Mistral Inst v0.3 base or perhaps even a llama3 8b ?

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Papers

arxiv:2310.16944

Zephyr: Direct Distillation of LM Alignment

Published on Oct 25, 2023

Upvote

123

Authors:

Lewis Tunstall ,

Edward Beeching ,

Nathan Lambert ,

Nazneen Rajani ,

Kashif Rasul ,

Younes Belkada ,

Shengyi Huang ,

Leandro von Werra ,

Clémentine Fourrier ,

Nathan Habib ,

Nathan Sarrazin ,

Omar Sanseviero ,

Alexander M. Rush ,

Thomas Wolf

Abstract

Zephyr-7B, a distilled chat model, achieves state-of-the-art performance on chat benchmarks using distilled direct preference optimization with preference data, without human annotation.

AI-generated summary

We aim to produce a smaller language model that is aligned to user intent. Previous research has shown that applying distilled supervised fine-tuning (dSFT) on larger models significantly improves task accuracy; however, these models are unaligned, i.e. they do not respond well to natural prompts. To distill this property, we experiment with the use of preference data from AI Feedback (AIF). Starting from a dataset of outputs ranked by a teacher model, we apply distilled direct preference optimization (dDPO) to learn a chat model with significantly improved intent alignment. The approach requires only a few hours of training without any additional sampling during fine-tuning. The final result, Zephyr-7B, sets the state-of-the-art on chat benchmarks for 7B parameter models, and requires no human annotation. In particular, results on MT-Bench show that Zephyr-7B surpasses Llama2-Chat-70B, the best open-access RLHF-based model. Code, models, data, and tutorials for the system are available at https://github.com/huggingface/alignment-handbook.

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Abdul251

Oct 27, 2023

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Jonahminds

Oct 30, 2023

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edited Oct 30, 2023

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osanseviero

Paper author Jan 28, 2024

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Jan 28, 2024

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ragraph-ai

Jun 23, 2024

•

edited Jun 23, 2024

Any 4th gen in sight for the 7B ? with a Mistral Inst v0.3 base or perhaps even a llama3 8b ?

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