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tetherto / qvac

Open-source local AI SDK - run AI on-device with no cloud, no API keys. Supports GGUF, RAG, image, music, and video generation, speech-to-text, P2P inference, and more. Cross-platform: Linux, macOS, Windows, Android, iOS.

Why this job: says: gguf; topics: local-llm, llm-inference, local-ai, on-device-ai, llama

QVAC demo

What it does

Load a model and run inference locally in a few steps. Pick your path.

Get started

mkdir qvac-examples
cd qvac-examples
npm init -y && npm pkg set type=module
Maintenance
Active
Last commit 2 days ago
Stars
755
+11 this week
Licence
Apache-2.0
Allows business use
Downloads for
2 systems
Mac, Linux
Latest tag
sdk-v0.23.0
Released 7 days ago
Built with
TypeScript
36% of the code

Is it looked after?

Contributors
29
Last 90 days
Issues
90% closed
18 still open
Pull requests
4,016 merged
100 waiting
Releases
38
30+ in the last year

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More: download files, languages, topics and project record

Download files, sdk-v0.23.0

  • Mac1 file, 2 downloads
  • Linux2 files, 5 downloads

All files on GitHub (opens in new tab)

Languages

  • TypeScript 36%
  • JavaScript 24%
  • C++ 21%
  • Python 10%

Topics

  • local-ai
  • ai-sdk
  • decentralized-ai
  • llama
  • llm-inference
  • local-fine-tuning
  • local-llm
  • nodejs
  • on-device-ai
  • open-source-ai
  • open-source-llm
  • open-source-rag

Project record

  • JobLocal LLMs
  • StatusFeatured
  • Commits3,570
  • Forks156
  • Watching7
  • Stars in 28 days+69
  • CreatedJan 3, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

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