mnigr/swahili-support
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 19, 2026Architecture:Transformer Featherless Exclusive Cold
The mnigr/swahili-support model is a 4 billion parameter language model, fine-tuned for Swahili language support. This model was converted to GGUF format using Unsloth, enabling efficient deployment. It is designed for text-only LLM applications requiring Swahili language processing, offering a specialized solution for this linguistic domain.
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Swahili Language Support Model
The mnigr/swahili-support model is a 4 billion parameter language model specifically fine-tuned to provide robust support for the Swahili language. It has been converted to the GGUF format, which facilitates efficient deployment and usage across various platforms.
Key Capabilities
- Swahili Language Processing: Optimized for understanding and generating text in Swahili.
- GGUF Format: Provided in GGUF for compatibility with tools like
llama-cliandollama. - Efficient Training: Fine-tuned using Unsloth, which enabled faster training times.
Good For
- Text-only LLM applications: Ideal for use cases requiring language model capabilities focused on Swahili.
- Local Deployment: Easily deployable using
llama-clior Ollama with the included Modelfile. - Resource-efficient inference: The GGUF format and 4B parameter size make it suitable for environments with moderate computational resources.