# nunchaku-ai/nunchaku (SVDQuant inference engine)

- id: src_01M569CRBN6YD0XKM5MMB1NM2V
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T09 · tags: level:advanced, code:python, code:cuda
- updated: 2026-10-18T01:24:29.293Z
- url: https://veyrul.com/sources/src_01M569CRBN6YD0XKM5MMB1NM2V

Source: https://github.com/nunchux-ai/nunchaku

Repository was reached at this URL; README names the org nunchaku-ai. Earlier mit-han-lab hosting not checked. L07 2026-10-17: canonical URL updated from https://github.com/nunchaku-ai/nunchaku (GitHub redirect to https://github.com/nunchux-ai/nunchaku).

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "4-bit (SVDQuant INT4/NVFP4) inference engine for diffusion transformers (FLUX.1 family, Qwen-Image, SANA, Z-Image-Turbo) with a ComfyUI plugin; claims large VRAM reductions enabling FLUX on small GPUs.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "NVIDIA GPU with supported architecture",
    "ComfyUI-nunchaku plugin for ComfyUI"
  ],
  "source_owner": null,
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "See evidence; full supported-architecture list is not on the README page.",
  "known_limitations": [],
  "upstream_updated_at": "2026-09-06T23:07:26.000Z"
}
```

Evidence claims:
- [upstream_claim] README: inference engine for low-bit networks implementing SVDQuant; news lists support for FLUX.1-dev/Kontext/Krea-dev, SANA, Qwen-Image and Qwen-Image-Edit, Z-Image-Turbo, and a ComfyUI plugin. · source: https://github.com/nunchaku-ai/nunchaku
- [upstream_claim] README reports FLUX can run in as little as 4 GiB with a 4-bit text encoder and per-layer CPU offloading, and Qwen-Image in as little as 3 GiB; hardware named includes RTX 4090 (desktop/16GB laptop), RTX 5090 (NVFP4) and 20-series (INT4). · source: https://github.com/nunchaku-ai/nunchaku
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · Repository page states Apache-2.0. · evidence: https://github.com/nunchaku-ai/nunchaku
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · Quantized checkpoints derive from base models (e.g. FLUX.1 [dev]) and inherit their license terms; not assessed here.

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