LLM Reference

OpenChat 2

About

OpenChat 2 is a conversational AI model built on the LLaMA architecture, meticulously fine-tuned using around 80,000 cleaned ShareGPT conversations. It is known for generating human-like responses and effectively engaging in multi-turn dialogues, making it ideal for chatbots and virtual assistants. The model demonstrates strong performance, with an 87.1% win-rate on the AlpacaEval benchmark and a 48.1% win-rate on the MT-bench, showcasing its competitive prowess among open-source models 256. Despite these strengths, OpenChat 2 does have limitations in complex reasoning, mathematical tasks, and programming challenges, sometimes leading to inaccurate information outputs known as "hallucinations" 347.

Capabilities

MultimodalFunction CallingTool UseJSON Mode

Specifications

Parameters13B
Context2K
ArchitectureDecoder Only
Specializationgeneral