alibidaran/Gemma2_Farsi
TEXT GENERATIONConcurrency Cost:1Model Size:2.6BQuant:BF16Ctx Length:8kPublished:Apr 13, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
alibidaran/Gemma2_Farsi is a 2.6 billion parameter language model developed by Ali Bidaran, fine-tuned from Google's Gemma2b. This model is specifically optimized for Persian (Farsi) language tasks, excelling in Q&A applications. It is designed for use in chatbot development, instruction engineering, and further fine-tuning with other Persian datasets, offering robust Farsi language understanding.
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alibidaran/Gemma2_Farsi: Persian Q&A Model
This model, developed by Ali Bidaran, is a 2.6 billion parameter language model fine-tuned from Google's Gemma2b. Its primary focus is on Persian (Farsi) language processing, specifically for question-answering tasks.
Key Capabilities
- Persian Q&A: Optimized to provide answers to general questions in Farsi.
- Chatbot Applications: Suitable for integration into conversational AI systems.
- Instruction Engineering: Can be used for tasks requiring adherence to Farsi instructions.
- Further Fine-tuning: Provides a strong base for adaptation to other specific Persian datasets.
Good For
- Developers building Farsi-language chatbots.
- Applications requiring robust Q&A capabilities in Persian.
- Researchers and developers looking for a Farsi-optimized base model for further fine-tuning on specialized datasets.