kareem2808/Qwen2.5-1.5B-Legal-ID-Chatbot
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:May 26, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The kareem2808/Qwen2.5-1.5B-Legal-ID-Chatbot is a 1.5 billion parameter Qwen2.5 model, developed by kareem2808 and fine-tuned from unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed as a chatbot, likely optimized for specific conversational tasks given its fine-tuning origin.
Loading preview...
Model Overview
The kareem2808/Qwen2.5-1.5B-Legal-ID-Chatbot is a 1.5 billion parameter language model, fine-tuned by kareem2808. It is based on the Qwen2.5 architecture and was specifically adapted from the unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit model.
Key Characteristics
- Architecture: Qwen2.5, a causal language model.
- Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
Given its origin as a fine-tuned chatbot model, this variant is likely suitable for:
- Conversational AI: Engaging in dialogue and responding to user queries.
- Specific Chatbot Applications: Depending on the fine-tuning data (not explicitly detailed in the README), it could be tailored for particular domains or tasks.
- Resource-Efficient Deployment: Its 1.5B parameter size makes it a candidate for applications where computational resources are a consideration.