Code & Development · GitHub ·366 ★

NanoLLM

Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.

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Details

Author
dusty-nv
Category
Code & Development
Platform
GitHub
Framework
custom
Language
python
Stars
366
First indexed
2026-05-15
Last active
2024-10-18
Directory sync
2026-05-15
@dusty-nv

Overview

Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.

Quick start

git

git clone https://github.com/dusty-nv/NanoLLM

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What NanoLLM can do

inferenceapidataragllm
  • Inference — inference task automation.
  • Api — api task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.

Frequently asked questions

What is NanoLLM?
Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.
How do I install NanoLLM?
Use git: `git clone https://github.com/dusty-nv/NanoLLM`. Full setup details on the source page linked above.
Is NanoLLM open source?
NanoLLM is published on GitHub.
What are alternatives to NanoLLM?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for NanoLLM is sourced from GitHub, published by dusty-nv.

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