maymilla/legal-chatbot-qwen2.5-3b-sft-id

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 29, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The maymilla/legal-chatbot-qwen2.5-3b-sft-id is a 3.1 billion parameter Qwen2.5 model developed by maymilla, fine-tuned for legal chatbot applications. It was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. This model is specifically optimized for legal domain tasks, leveraging its 32768 token context length for processing extensive legal texts.

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Overview

The maymilla/legal-chatbot-qwen2.5-3b-sft-id is a specialized 3.1 billion parameter language model, developed by maymilla. It is built upon the Qwen2.5 architecture and has been specifically fine-tuned for applications within the legal domain. The model leverages a substantial 32768 token context window, making it suitable for processing and understanding lengthy legal documents and queries.

Key Capabilities

  • Legal Domain Specialization: Fine-tuned for tasks relevant to legal chatbots, indicating proficiency in legal terminology and contexts.
  • Efficient Training: Utilizes Unsloth and Huggingface's TRL library for accelerated fine-tuning, suggesting an optimized training process.
  • Qwen2.5 Base: Benefits from the foundational capabilities of the Qwen2.5 model family.

Good For

  • Legal Chatbot Development: Ideal for creating conversational AI agents that can interact with users on legal topics.
  • Legal Information Retrieval: Potentially useful for extracting or summarizing information from legal texts.
  • Applications requiring legal domain understanding: Any use case where a model's understanding of legal language and concepts is critical.

Finetunes
1 models