JCX-kcuf/openchat_3.5-gpt-4-80k
JCX-kcuf/openchat_3.5-gpt-4-80k is a 7 billion parameter language model developed by JCX-kcuf, fine-tuned using distillation data from GPT-4. Built upon the openchat/openchat_3.5 base model, it aims to replicate GPT-4's conversational style and response quality. This model is optimized for general conversational AI tasks, leveraging its GPT-4 distilled training for enhanced instruction following and coherence.
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Model Overview
JCX-kcuf/openchat_3.5-gpt-4-80k is a 7 billion parameter language model that has been fine-tuned using a distillation dataset derived from GPT-4. This approach aims to transfer the advanced conversational capabilities and response quality of GPT-4 to a more compact model based on openchat/openchat_3.5.
Key Capabilities
- GPT-4 Distillation: Leverages training data generated by GPT-4 to emulate its response patterns and instruction following.
- Conversational AI: Designed for general-purpose dialogue and assistant-like interactions.
- OpenChat Compatibility: Utilizes the same query format as the openchat_3.5 base model, ensuring consistent interaction patterns.
Usage Format
The model expects a specific query format, consistent with openchat_3.5, to ensure optimal performance:
GPT4 Correct User: {query}<|end_of_turn|>GPT4 Correct Assistant: {answer}<|end_of_turn|>Good For
- Applications requiring a model with GPT-4-like conversational characteristics.
- Scenarios where a smaller, more efficient model is preferred over larger alternatives, while still aiming for high-quality, coherent responses.
- Developers familiar with the OpenChat ecosystem looking for an enhanced version.