OpenChat 8K
OpenChat 8K 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 8k 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
- Released
- 2023-11-13
- Context
- 8k
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
OpenChat is a series of open-source large language models (LLMs) that deliver robust performance despite being trained on heterogeneous data without preference labels. These models employ a fine-tuning approach called C-RLFT (Conditioned Reinforcement Learning Fine-Tuning), influenced by offline reinforcement learning techniques. Available in multiple sizes, including 7B and 8B parameter versions, OpenChat models excel in tasks like natural language processing, sentiment analysis, and content generation. They are easily integrable into various applications via the OpenAI API and are available for commercial use under the Llama 2 Community License. Some versions support a context window of 8192 tokens, although variations exist.
OpenChat 8K is a model in the OpenChat family. The structured metadata tracks a 8k-token context window. No headline benchmark score is tracked for OpenChat 8K 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.