nurasa26/chatbot-legal-skillv2
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2.6BQuant:BF16Context Size:8kPublished:Jul 17, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The nurasa26/chatbot-legal-skillv2 is a 2.6 billion parameter Gemma2 model, developed by nurasa26, fine-tuned from unsloth/gemma-2-2b-it-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is optimized for chatbot applications requiring legal domain knowledge, leveraging its 8192 token context length.
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Model Overview
The nurasa26/chatbot-legal-skillv2 is a 2.6 billion parameter Gemma2 model, developed by nurasa26. It was fine-tuned from the unsloth/gemma-2-2b-it-bnb-4bit base model, utilizing the Unsloth framework and Huggingface's TRL library for accelerated training, reportedly achieving 2x faster training speeds.
Key Capabilities
- Legal Domain Specialization: This model is specifically fine-tuned for legal chatbot applications, suggesting enhanced performance and relevance in legal contexts.
- Efficient Training: Leverages Unsloth for optimized and faster training processes.
- Gemma2 Architecture: Built upon the Gemma2 architecture, providing a robust foundation for language understanding and generation.
- Context Length: Features an 8192 token context window, suitable for processing moderately long legal documents or conversations.
Good For
- Developing chatbots that require understanding and generating responses related to legal queries.
- Applications needing a specialized language model for legal information retrieval or summarization.
- Researchers and developers looking for a Gemma2-based model with specific legal domain fine-tuning.