ArbazYousuf/qwen2.5-1.5b-fatwa-urdu
ArbazYousuf/qwen2.5-1.5b-fatwa-urdu is a 1.5 billion parameter Qwen2.5 model developed by ArbazYousuf, fine-tuned for specific applications. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is based on the unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit model, indicating an instruction-tuned base. Its specialized fine-tuning suggests optimization for particular Urdu language tasks or fatwa-related content.
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Model Overview
ArbazYousuf/qwen2.5-1.5b-fatwa-urdu is a 1.5 billion parameter language model developed by ArbazYousuf. It is a fine-tuned variant of the unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit base model, indicating its foundation in the Qwen2.5 architecture and an instruction-tuned origin.
Key Training Details
- Base Model:
unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit - Training Method: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: The model is released under the Apache-2.0 license.
Potential Use Cases
Given its name, "fatwa-urdu," this model is likely specialized for:
- Processing and generating content related to Islamic jurisprudence (fatwas) in Urdu.
- Applications requiring nuanced understanding and generation of Urdu text within a specific domain.
- Tasks where a smaller, efficiently trained model is preferred for deployment.