nileagi/swahili-chat-gemma-4-e2b-merged-16bit
VISIONConcurrency Cost:1Model Size:5.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 17, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The nileagi/swahili-chat-gemma-4-e2b-merged-16bit is a 5.1 billion parameter Gemma-4 model developed by nileagi, specifically fine-tuned for Swahili chat applications. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training times. It is designed to excel in conversational tasks within the Swahili language, leveraging a substantial 32768 token context length for comprehensive interactions.
Loading preview...
Model Overview
The nileagi/swahili-chat-gemma-4-e2b-merged-16bit is a 5.1 billion parameter language model, fine-tuned from a Gemma-4 base. Developed by nileagi, this model is specifically optimized for Swahili language chat and conversational applications.
Key Capabilities
- Swahili Language Proficiency: Specialized in understanding and generating text in Swahili, making it suitable for localized applications.
- Efficient Training: The model was fine-tuned using Unsloth and Huggingface's TRL library, indicating an optimized and potentially resource-efficient training process.
- Large Context Window: Features a substantial 32768 token context length, allowing for more extended and coherent conversations.
Good For
- Swahili Chatbots: Ideal for developing chatbots or conversational AI agents that interact primarily in Swahili.
- Localized Applications: Suitable for any application requiring robust natural language understanding and generation in the Swahili language.
- Research and Development: Provides a specialized base for further research into Swahili NLP or fine-tuning for specific Swahili-centric tasks.