galnoel/qwen2.5-1.5b-legal-chatbot-sft
The galnoel/qwen2.5-1.5b-legal-chatbot-sft is a 1.5 billion parameter Qwen2.5 model, fine-tuned by galnoel. This model is optimized for legal chatbot applications, leveraging efficient training with Unsloth and Huggingface's TRL library. It is designed to provide specialized responses within a legal context, building upon its base Qwen2.5 architecture with a 32768 token context length.
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Model Overview
The galnoel/qwen2.5-1.5b-legal-chatbot-sft is a specialized 1.5 billion parameter language model, fine-tuned by galnoel. It is based on the Qwen2.5 architecture and was developed using efficient training methodologies.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen2.5-1.5B-bnb-4bit, indicating a foundation in the Qwen2.5 series. - Efficient Training: The model was trained significantly faster using Unsloth and Huggingface's TRL library, highlighting an optimization in the fine-tuning process.
- Context Length: Benefits from the Qwen2.5 base model's 32768 token context window, allowing for processing longer inputs relevant to legal documents or conversations.
Primary Use Case
This model is specifically designed and fine-tuned for legal chatbot applications. Its training focus suggests an ability to understand and generate responses pertinent to legal queries or discussions, making it suitable for tasks requiring domain-specific knowledge in law.