ainur07/legal-chatbot-qwen2.5-1.5b-grpo
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 17, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The ainur07/legal-chatbot-qwen2.5-1.5b-grpo is a 1.5 billion parameter Qwen2.5 model developed by ainur07, fine-tuned for legal chatbot applications. It was trained using Unsloth and Huggingface's TRL library, enabling faster training. This model is specifically designed to excel in legal domain conversations and information retrieval, leveraging its 32768 token context length.
Loading preview...
Model Overview
The ainur07/legal-chatbot-qwen2.5-1.5b-grpo is a 1.5 billion parameter language model based on the Qwen2.5 architecture, developed by ainur07. This model is a fine-tuned version of ainur07/legal-chatbot-qwen2.5-1.5b-sft and is specifically optimized for legal chatbot functionalities.
Key Capabilities
- Legal Domain Specialization: The model is fine-tuned to understand and generate responses relevant to legal queries and discussions.
- Efficient Training: It leverages Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Qwen2.5 Architecture: Built upon the robust Qwen2.5 foundation, providing strong language understanding and generation capabilities.
- Extended Context Length: Features a 32768 token context window, allowing for processing and understanding longer legal documents or conversational histories.
Good For
- Legal Chatbots: Ideal for developing conversational AI agents that can assist with legal information, answer legal questions, or guide users through legal processes.
- Legal Information Retrieval: Can be used to extract and summarize information from legal texts.
- Domain-Specific Applications: Suitable for any application requiring a language model with specialized knowledge in the legal field.