NanoLLM
Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.
Run local AI models efficiently with easy-to-use tools for various tasks like speech and image processing.
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Free · no card · unsubscribe anytimeOptimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.
NanoLLM has 379 stars on GitHub. It has been forked 66 times. NanoLLM is written mainly in Python. It has been in active development since 2024. NanoLLM is available under the MIT license. Its main topics are edge-ai, llm-inference, multimodal, rag.
What is NanoLLM?
Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.
Is NanoLLM open source?
NanoLLM is an open-source project. It is released under the MIT license.
Is NanoLLM free?
Yes. NanoLLM is free and open source — you can use, modify and self-host it.
What license does NanoLLM use?
NanoLLM is available under the MIT license.
What language is NanoLLM written in?
NanoLLM is written mainly in Python.
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