Shawrin075/bd-legal-mistral7b-final

TEXT GENERATIONConcurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kTool Calling:SupportedPublished:Jun 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Shawrin075/bd-legal-mistral7b-final is a 7 billion parameter Mistral-based language model developed by Shawrin075. This model was fine-tuned using Unsloth and Huggingface's TRL library, indicating an optimization for faster training. While the specific domain is not detailed, the 'bd-legal' in its name suggests a specialization in legal applications. It is designed for tasks requiring a compact yet capable model, potentially offering efficient performance for legal text processing.

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Model Overview

Shawrin075/bd-legal-mistral7b-final is a 7 billion parameter language model developed by Shawrin075. It is fine-tuned from a Mistral-7B-Instruct-v0.3 base model, leveraging the unsloth/mistral-7b-instruct-v0.3-bnb-4bit version. The model's name, 'bd-legal', strongly implies a specialization in legal domain tasks, suggesting it has been optimized for processing, understanding, or generating legal text.

Key Characteristics

  • Base Model: Mistral-7B-Instruct-v0.3
  • Parameter Count: 7 billion parameters
  • Training Optimization: Fine-tuned using Unsloth and Huggingface's TRL library, which is noted for enabling significantly faster training (2x faster).
  • Developer: Shawrin075
  • License: Apache-2.0

Potential Use Cases

Given its 'bd-legal' designation, this model is likely well-suited for applications within the legal sector. Developers might consider using it for:

  • Legal Document Analysis: Summarizing legal texts, extracting key information from contracts, or identifying relevant clauses.
  • Legal Research: Assisting with information retrieval from legal databases.
  • Legal Question Answering: Providing responses to queries based on legal documents or statutes.
  • Compliance Checks: Analyzing documents for adherence to legal standards or regulations.

This model offers a compact and efficiently trained solution for legal-specific natural language processing tasks.