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Fsfairx LLaMA3 RM V0.1
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Fsfairx LLaMA3 RM V0.1

Developed by sfairXC
A reward model trained on Meta-Llama-3-8B-Instruct for reward modeling in RLHF processes, supporting PPO, iterative SFT, and iterative DPO methods.
Large Language Model
Transformers
#RLHF reward modeling#Open-source SOTA#Multi-turn dialogue evaluation
Downloads 4,157
Release Time : 4/20/2024

Model Overview

This model is a reward model for Reinforcement Learning from Human Feedback (RLHF) processes, capable of evaluating dialogue quality and providing reward signals to help optimize language model outputs.

Model Features

High-performance reward modeling
Performs excellently on the Reward-Bench leaderboard and is one of the most advanced open-source reward models available.
Supports multiple RLHF methods
Can be used with various reinforcement learning from human feedback methods such as PPO, iterative SFT, and iterative DPO.
Based on Llama-3 architecture
Fine-tuned from the Meta-Llama-3-8B-Instruct model, inheriting its powerful language understanding capabilities.

Model Capabilities

Dialogue quality evaluation
Reward signal generation
Reinforcement learning feedback

Use Cases

Language model optimization
Reward modeling in RLHF processes
Used as a reward model in reinforcement learning from human feedback processes to guide language model optimization.
Significantly improves dialogue quality and safety of language models
Dialogue system evaluation
Dialogue quality scoring
Evaluates and scores the quality of responses from dialogue systems.
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