Asahina2K/qwen2.5-1.5b-legal-sft

TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 4, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Asahina2K/qwen2.5-1.5b-legal-sft is a 1.5 billion parameter Qwen2.5 model developed by Asahina2K, fine-tuned for legal applications. This model leverages a 32K context length and was trained using Unsloth and Huggingface's TRL library for accelerated performance. Its primary strength lies in processing and generating content relevant to legal domains, offering specialized capabilities for legal text analysis.

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Asahina2K/qwen2.5-1.5b-legal-sft: A Specialized Legal Language Model

This model, developed by Asahina2K, is a 1.5 billion parameter variant of the Qwen2.5 architecture, specifically fine-tuned for legal applications. It was trained using the Unsloth framework, which enabled a 2x faster training process, in conjunction with Huggingface's TRL library. The model is designed to handle a substantial context length of 32,768 tokens, making it suitable for processing lengthy legal documents.

Key Capabilities

  • Legal Domain Specialization: Fine-tuned specifically for tasks within the legal field.
  • Efficient Training: Utilizes Unsloth for accelerated training, indicating potential for efficient deployment and further fine-tuning.
  • Extended Context Window: Supports a 32K token context length, beneficial for comprehensive analysis of legal texts.

Good For

  • Legal Text Analysis: Tasks such as contract review, legal research, and document summarization within the legal domain.
  • Specialized Legal AI Applications: Developing applications that require a deep understanding and generation of legal language.
  • Researchers and Developers: Those looking for a compact yet capable model for legal NLP tasks, potentially offering faster iteration cycles due to its efficient training methodology.

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