ZoneeoX/legal-chatbot-zx
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 19, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ZoneeoX/legal-chatbot-zx is a 7.6 billion parameter Qwen2.5-based instruction-tuned language model developed by ZoneeoX. It was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is specifically designed for legal chatbot applications, leveraging its Qwen2.5 architecture and 32768 token context length for robust performance in legal domain tasks.
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ZoneeoX/legal-chatbot-zx Overview
ZoneeoX/legal-chatbot-zx is a 7.6 billion parameter language model, finetuned from unsloth/Qwen2.5-7B-Instruct-bnb-4bit. Developed by ZoneeoX, this model leverages the Qwen2.5 architecture and boasts a substantial 32768 token context length, making it suitable for processing extensive legal documents and complex queries.
Key Capabilities
- Legal Domain Specialization: Optimized for tasks within the legal sector, likely including legal research, document analysis, and query answering.
- Efficient Finetuning: Trained 2x faster using Unsloth and Huggingface's TRL library, indicating a focus on performance and resource efficiency.
- Robust Context Handling: A 32768 token context window allows for comprehensive understanding and generation based on lengthy legal texts.
Good For
- Legal Chatbot Development: Ideal for building conversational AI agents that can assist with legal inquiries, provide information, or summarize legal documents.
- Legal Information Retrieval: Can be used to extract and synthesize information from large legal datasets.
- Applications Requiring Long Context: Suitable for scenarios where understanding and generating responses based on extensive textual input, such as contracts or case files, is critical.