chelseaayu/Qwen2.5-7B-Legal-Chatbot
TEXT GENERATIONConcurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The chelseaayu/Qwen2.5-7B-Legal-Chatbot is a 7.6 billion parameter Qwen2.5-based language model, finetuned from unsloth/Qwen2.5-7B-Instruct-bnb-4bit. Optimized for legal applications, this model leverages a 32768-token context length to process extensive legal texts. It was trained using Unsloth and Huggingface's TRL library, focusing on efficient fine-tuning for specialized legal chat interactions.
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chelseaayu/Qwen2.5-7B-Legal-Chatbot Overview
This model is a specialized Qwen2.5-7B-Instruct-based language model developed by chelseaayu, specifically fine-tuned for legal applications. It builds upon the unsloth/Qwen2.5-7B-Instruct-bnb-4bit model, indicating an optimization for efficient deployment and inference.
Key Capabilities
- Legal Domain Specialization: Fine-tuned to understand and generate content relevant to legal contexts.
- Efficient Training: Utilizes Unsloth and Huggingface's TRL library for faster and more resource-efficient fine-tuning.
- Robust Base Model: Benefits from the strong foundational capabilities of the Qwen2.5-7B-Instruct architecture.
- Extended Context Window: Features a 32768-token context length, suitable for processing lengthy legal documents and complex queries.
Good For
- Legal Research: Assisting with information retrieval and summarization of legal texts.
- Legal Chatbots: Developing conversational AI agents for legal inquiries.
- Document Analysis: Processing and understanding legal documents, contracts, and case files.
- Specialized Legal NLP Tasks: Any application requiring a deep understanding of legal terminology and concepts.