Norquinal/Mistral-7B-claude-chat
Norquinal/Mistral-7B-claude-chat is a 7 billion parameter Mistral-7B-v0.1 model fine-tuned by Norquinal using QLoRA (4-bit precision). This model is specifically optimized for multi-round chat interactions, having been trained on a dataset derived from Claude conversations. It excels at generating helpful, detailed, and polite responses in a conversational context, following the Vicuna 1.1 prompt format.
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Norquinal/Mistral-7B-claude-chat Overview
This model is a 7 billion parameter variant of the Mistral-7B-v0.1 base model, developed by Norquinal. It has been fine-tuned using QLoRA (4-bit precision) on a specialized dataset, claude_multiround_chat_1k, which is a subset of a larger 30,000-sample dataset of Claude conversations.
Key Capabilities
- Multi-round Chat: Optimized for engaging in extended, multi-turn conversational exchanges.
- Helpful and Detailed Responses: Designed to provide comprehensive and polite answers to user queries.
- Vicuna 1.1 Prompt Format: Adheres to the standard Vicuna 1.1 prompt structure for chat interactions.
Good For
- Conversational AI Applications: Ideal for chatbots, virtual assistants, and interactive dialogue systems where detailed and polite responses are crucial.
- Generating Human-like Dialogue: Excels at producing natural-sounding and contextually relevant chat outputs.
Users can integrate this model into platforms like Text Generation Web UI, with specific instructions provided for transformers library compatibility.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.