Bibiiiiiii/Legal-Model-sft

TEXT GENERATIONConcurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Bibiiiiiii/Legal-Model-sft is a 3.1 billion parameter Qwen2.5-based instruction-tuned language model developed by Bibiiiiiii, featuring a 32768 token context length. This model is specifically fine-tuned for legal applications, leveraging efficient training with Unsloth and Huggingface's TRL library. It is designed to excel in tasks requiring understanding and generation of legal text.

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Model Overview

Bibiiiiiii/Legal-Model-sft is a 3.1 billion parameter language model, fine-tuned from unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit. Developed by Bibiiiiiii, this model is specialized for legal domain applications, offering a substantial 32768 token context window.

Key Capabilities

  • Legal Domain Specialization: Fine-tuned to understand and process legal texts, making it suitable for tasks within the legal field.
  • Efficient Training: Utilizes Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
  • Qwen2.5 Architecture: Built upon the Qwen2.5 base, inheriting its robust language understanding and generation capabilities.

Use Cases

This model is particularly well-suited for applications requiring a deep understanding of legal language. Potential use cases include legal document analysis, legal research assistance, generating legal summaries, or answering legal-specific queries. Its efficient training methodology allows for specialized performance without requiring exceptionally large model sizes.