| Property | Value |
|---|---|
| Parameter Count | 7B |
| Context Length | 8192 tokens |
| License | Apache 2.0 |
| Model URL | https://huggingface.co/openchat/openchat-3.5-1210 |
What is openchat-3.5-1210?
OpenChat 3.5-1210 represents a significant advancement in open-source language models, achieving remarkable performance that surpasses both ChatGPT (March) and Grok-1. This 7B parameter model is particularly notable for its 15-point improvement in coding capabilities compared to its predecessor, while maintaining strong performance across general tasks.
Implementation Details
The model implements two distinct operational modes: a default GPT4 Correct mode for coding and general tasks, and a specialized Mathematical Reasoning mode. It's built with vLLM optimization for high-throughput deployment and can run on consumer GPUs with 24GB RAM. The model supports tensor parallelism and provides an OpenAI-compatible API server.
- Achieves 63.8% average score across major benchmarks
- 68.9% performance on HumanEval coding tasks
- 77.3% accuracy on GSM8K mathematical problems
- Supports context length of 8192 tokens
Core Capabilities
- Advanced coding and programming assistance
- Mathematical reasoning and problem-solving
- General conversation and task completion
- Experimental evaluator and feedback capabilities
- High-performance inference with vLLM optimization
Frequently Asked Questions
Q: What makes this model unique?
OpenChat 3.5-1210 stands out for being the best-performing open-source 7B model, achieving superior results compared to larger models like Grok-1. It's particularly notable for its dual-mode capability and significant improvements in coding performance.
Q: What are the recommended use cases?
The model excels in coding tasks, mathematical problem-solving, and general conversation. It's particularly well-suited for developers, data scientists, and applications requiring strong reasoning capabilities. The model can be deployed in production environments using its OpenAI-compatible API server.