ainur07/legal-chatbot-qwen2.5-1.5b-sft
The ainur07/legal-chatbot-qwen2.5-1.5b-sft is a 1.5 billion parameter Qwen2.5 model, developed by ainur07 and fine-tuned from unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit. This model is specifically optimized for legal chatbot applications, leveraging efficient training with Unsloth and Huggingface's TRL library. It offers a 32768 token context length, making it suitable for processing extensive legal documents and queries.
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Model Overview
This model, ainur07/legal-chatbot-qwen2.5-1.5b-sft, is a 1.5 billion parameter Qwen2.5-based language model developed by ainur07. It has been fine-tuned from the unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit base model, specifically targeting applications within the legal domain. The training process utilized Unsloth and Huggingface's TRL library, enabling faster fine-tuning.
Key Capabilities
- Legal Domain Specialization: Fine-tuned for tasks and queries related to legal information and contexts.
- Efficient Training: Benefits from Unsloth's optimizations, allowing for 2x faster training.
- Qwen2.5 Architecture: Leverages the robust Qwen2.5 base model for strong language understanding and generation.
- Context Length: Supports a substantial context window of 32768 tokens, suitable for detailed legal document analysis.
Use Cases
This model is particularly well-suited for:
- Developing legal chatbots that can answer questions about laws, regulations, or legal procedures.
- Assisting with legal research by summarizing documents or extracting key information.
- Generating legal-themed text or drafting preliminary legal communications.
Licensing
The model is released under the Apache-2.0 license.