xStyNWx/qwen2.5-1.5b-legal-chatbot-id

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 20, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The xStyNWx/qwen2.5-1.5b-legal-chatbot-id is a 1.5 billion parameter Qwen2.5-based instruction-tuned language model developed by xStyNWx. It was fine-tuned from unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit using Unsloth and Huggingface's TRL library, enabling faster training. This model is specifically optimized for legal chatbot applications, leveraging its Qwen2.5 architecture and 32768 token context length for processing legal-specific queries.

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Model Overview

The xStyNWx/qwen2.5-1.5b-legal-chatbot-id is a specialized 1.5 billion parameter language model, fine-tuned from the unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit base model. Developed by xStyNWx, 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 Chatbot Optimization: Specifically fine-tuned for applications within the legal domain, suggesting proficiency in understanding and generating legal-related text.
  • Efficient Training: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster fine-tuning process.
  • Qwen2.5 Architecture: Benefits from the robust capabilities of the Qwen2.5 model family, known for strong performance across various language tasks.

Good For

  • Legal Information Retrieval: Answering questions related to legal documents, statutes, or case law.
  • Legal Assistant Chatbots: Developing conversational AI agents for legal professionals or clients seeking legal guidance.
  • Document Analysis: Processing and summarizing legal texts, given its large context window.

Finetunes
2 models