tasal9/ZamAI-LIama3-Pashto
The tasal9/ZamAI-LIama3-Pashto model is an 8 billion parameter instruction-tuned causal language model, fine-tuned by tasal9 on the Meta-Llama-3-8B-Instruct architecture. Optimized for text generation in Pashto, this model leverages a context length of 8192 tokens. It is specifically adapted for Pashto language processing, making it suitable for research and development in Pashto NLP.
Loading preview...
ZamAI LIama3 Pashto Overview
This model, developed by tasal9 as part of the ZamAI Pashto language AI collection, is an 8 billion parameter language model based on meta-llama/Meta-Llama-3-8B-Instruct. It has been specifically fine-tuned for text-generation tasks in Pashto and related languages, utilizing the tasal9/Pashto-Dataset-Creating-Dataset for its training.
Key Capabilities
- Pashto Text Generation: Excels at generating coherent and contextually relevant text in the Pashto language.
- Multilingual Support: While primarily focused on Pashto, it supports both English and Pashto languages.
- Research and Prototyping: Designed for use in academic research, rapid prototyping, and assisting in production-level Pashto NLP applications.
Intended Uses & Limitations
This model is suitable for:
- Pashto NLP Development: A valuable tool for developers and researchers working on Pashto natural language processing.
- Content Creation: Can assist in generating Pashto content for various applications.
Users should carefully evaluate outputs, especially in high-stakes scenarios, as the model may reflect biases present in its training data. It is released under the MIT license.