ariefw666/qwen-finetuned-legal-16bit-model-1

TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The ariefw666/qwen-finetuned-legal-16bit-model-1 is a 1.5 billion parameter Qwen2.5 model, developed by ariefw666, and finetuned from unsloth/Qwen2.5-1.5B-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is specifically optimized for legal domain applications, leveraging its finetuning to excel in legal text processing tasks.

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Model Overview

The ariefw666/qwen-finetuned-legal-16bit-model-1 is a 1.5 billion parameter Qwen2.5 model, developed by ariefw666. It was finetuned from the unsloth/Qwen2.5-1.5B-bnb-4bit base model, utilizing the Unsloth library and Huggingface's TRL for accelerated training.

Key Characteristics

  • Base Model: Qwen2.5-1.5B-bnb-4bit
  • Parameter Count: 1.5 billion parameters
  • Training Efficiency: Leverages Unsloth for 2x faster finetuning.
  • Domain Specialization: Specifically finetuned for legal applications, indicating enhanced performance on legal texts and tasks.

Use Cases

This model is particularly well-suited for tasks within the legal domain, where its specialized training can provide more accurate and relevant outputs compared to general-purpose language models. Potential applications include:

  • Legal document analysis
  • Legal research assistance
  • Summarization of legal texts
  • Question answering on legal topics

Finetunes
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