Access Free OpenChat Playground. Free Demo Online

OpenChat 3.6 8B is part of a library of open-source language models. It has been fine-tuned using a novel approach called “C-RLFT (Conditioned Reinforcement Learning Fine-Tuning)”, which draws inspiration from offline reinforcement learning techniques.




 




 

 

Attribute Value
Model Name OpenChat 3.6 8B
Hugging Face Repo openchat/openchat-8b
Type Chat
Context Window 18,192 tokens
Release Date Updated June 2024



Key Features

  • Trained on mixed-quality data without preference labels
  • Outperforms many similarly sized models, including Llama 3 8B Instruct
  • Excels in:
    1. General conversation
    2. Coding assistance
    3. Mathematical reasoning

Training Approach

The model employs C-RLFT, a strategy that allows it to learn from diverse data sources without relying on explicit preference labeling.

Model Variations

  • OpenChat 7B: Fine-tuned on Mistral 7B
  • OpenChat 8B: Fine-tuned on Llama 8B



 

Performance Rankings

Category Rank
Legal #7
Academia #10

Open Source Status

OpenChat 3.6 8B is an open-source model, making it accessible for research, development, and commercial applications, subject to its licensing terms.

Comparison with Other Models

graph LR
A[OpenChat 3.6 8B] --> B[Llama 3 8B Instruct]
A --> C[Other 8B Fine-tuned Models]
A -->|Outperforms| B
A -->|Outperforms| C
style A fill:#f9f,stroke:#333,stroke-width:4px

This graph illustrates OpenChat 3.6 8B’s performance in comparison to similar-sized models, highlighting its superior capabilities.

Use Cases

  1. Conversational AI applications
  2. Code development and debugging assistance
  3. Complex mathematical problem-solving
  4. Academic research and writing support
  5. Legal document analysis and drafting (given its high ranking in the legal category)