puteranami/legal-chatbot-qwen2.5-1.5b-sft
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The puteranami/legal-chatbot-qwen2.5-1.5b-sft is a 1.5 billion parameter Qwen2.5 instruction-tuned model, developed by puteranami, specifically fine-tuned for legal chatbot applications. It leverages Unsloth and Huggingface's TRL library for accelerated training. This model is optimized for efficient deployment in legal domain-specific conversational AI systems, offering a compact yet capable solution.
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Model Overview
This model, puteranami/legal-chatbot-qwen2.5-1.5b-sft, is a specialized instruction-tuned variant of the Qwen2.5 architecture, featuring 1.5 billion parameters. Developed by puteranami, it has been fine-tuned specifically for legal chatbot applications.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit. - Training Efficiency: Training was significantly accelerated using the Unsloth library in conjunction with Huggingface's TRL library, enabling faster iteration and deployment.
- Parameter Count: With 1.5 billion parameters, it offers a balance between performance and computational efficiency.
- Context Length: Supports a substantial context length of 32768 tokens, suitable for processing detailed legal documents or conversations.
Intended Use
This model is designed for use in:
- Legal Chatbots: Ideal for conversational AI systems requiring understanding and generation of legal-specific text.
- Legal Information Retrieval: Can be integrated into systems that help users navigate legal information or answer legal queries.
- Domain-Specific Applications: Suitable for applications where a compact, specialized language model for the legal sector is beneficial.