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Fsfairx Gemma2 RM V0.1

Developed by sfairXC
A reward model based on the Gemma-2-9B architecture, trained using RLHF workflow, suitable for dialogue and reasoning tasks.
Downloads 51
Release Time : 7/8/2024

Model Overview

This model is a reward model based on the Gemma-2-9B architecture, trained via RLHF workflow, primarily used for evaluating dialogue capability, reasoning ability, and safety.

Model Features

High-performance dialogue capability
Scored as high as 98.04 in dialogue capability benchmarks, demonstrating outstanding performance.
Strong reasoning ability
Achieved a reasoning ability score of 92.31, suitable for complex logical reasoning tasks.
RLHF training
Trained using Reinforcement Learning from Human Feedback (RLHF) workflow to optimize model performance.

Model Capabilities

Dialogue evaluation
Reasoning evaluation
Safety evaluation
Handling complex dialogues

Use Cases

Dialogue systems
Intelligent customer service
Used to evaluate the quality of customer service dialogues, improving user experience.
Dialogue capability score: 98.04
Education
Teaching assistant
Evaluates the logic and accuracy of teaching dialogues.
Reasoning ability score: 92.31
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