OpenChat 2
OpenChat 2 has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 2k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- OpenChat 2
- Released
- 2023-12-28
- Context
- 2k
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
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.
OpenChat 2 is a model. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for OpenChat 2 yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.