nassimjp/gemma-4-E2B-it-pashto
The nassimjp/gemma-4-E2B-it-pashto model is a 5.1 billion parameter instruction-tuned language model developed by nassimjp, fine-tuned from unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. It was trained using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. This model is specifically designed for Pashto language tasks, leveraging its instruction-tuned architecture and a 32768 token context length to handle complex Pashto language understanding and generation.
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Overview
nassimjp/gemma-4-E2B-it-pashto is a 5.1 billion parameter instruction-tuned language model, developed by nassimjp. It is fine-tuned from the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit model, leveraging the Unsloth library for accelerated training, which resulted in a 2x faster training process. This model is specifically adapted for the Pashto language, making it a specialized tool for applications requiring Pashto language processing.
Key Capabilities
- Pashto Language Processing: Optimized for understanding and generating text in the Pashto language.
- Instruction Following: Benefits from instruction tuning, allowing it to follow specific commands and prompts effectively.
- Efficient Training: Utilizes Unsloth and Huggingface's TRL library for faster and more efficient fine-tuning.
Good for
- Applications requiring Pashto language generation or comprehension.
- Researchers and developers working on Pashto NLP tasks.
- Projects that need an instruction-tuned model with a focus on a specific low-resource language.