Timooody/qwen2-5-1-5b-legal-finetuned

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 1, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Timooody/qwen2-5-1-5b-legal-finetuned is a 1.5 billion parameter Qwen2-based language model developed by Timooody. This model is fine-tuned from unsloth/Qwen2.5-1.5B-Instruct-unsloth-bnb-4bit, leveraging Unsloth for faster training. With a context length of 32768 tokens, it is optimized for specific applications through its fine-tuning process.

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Model Overview

Timooody/qwen2-5-1-5b-legal-finetuned is a specialized language model based on the Qwen2 architecture, developed by Timooody. This model has 1.5 billion parameters and supports a substantial context length of 32768 tokens. It was fine-tuned from the unsloth/Qwen2.5-1.5B-Instruct-unsloth-bnb-4bit base model.

Key Characteristics

  • Architecture: Built upon the Qwen2 model family.
  • Parameter Count: Features 1.5 billion parameters, offering a balance between performance and efficiency.
  • Context Length: Supports a long context window of 32768 tokens, suitable for processing extensive documents or conversations.
  • Training Efficiency: The model was trained using Unsloth and Hugging Face's TRL library, enabling a 2x faster fine-tuning process.

Potential Use Cases

This model is suitable for applications requiring a compact yet capable language model with a focus on the domains it was fine-tuned for. Its efficient training methodology makes it a good candidate for developers looking to deploy specialized Qwen2-based models quickly.

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