AlexanderTheGreat888/legal-chatbot-qwen2.5-1.5b-merged

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 3, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

AlexanderTheGreat888/legal-chatbot-qwen2.5-1.5b-merged is a 1.5 billion parameter Qwen2.5-based language model developed by AlexanderTheGreat888. Fine-tuned from unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit, it leverages Unsloth for faster training. This model is specifically designed for legal chatbot applications, offering a 32768 token context length for processing extensive legal texts.

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Model Overview

AlexanderTheGreat888/legal-chatbot-qwen2.5-1.5b-merged is a specialized language model built upon the Qwen2.5 architecture, featuring 1.5 billion parameters. Developed by AlexanderTheGreat888, this model has been fine-tuned from unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit.

Key Characteristics

  • Base Model: Qwen2.5-1.5B-Instruct, providing a robust foundation for language understanding and generation.
  • Training Efficiency: Utilizes Unsloth and Hugging Face's TRL library, enabling significantly faster training times (2x faster).
  • Context Length: Supports a substantial context window of 32768 tokens, suitable for handling detailed and lengthy inputs.
  • License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.

Primary Use Case

This model is specifically engineered for legal chatbot applications. Its fine-tuning and substantial context length make it well-suited for tasks involving legal document analysis, query answering within a legal context, and generating legally-relevant text.

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