# ml-explore/mlx-examples

- id: src_01M569CR8C4KW1W05TVEBCJ88A
- 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:established, code:python
- updated: 2026-10-18T01:24:24.334Z
- url: https://veyrul.com/sources/src_01M569CR8C4KW1W05TVEBCJ88A

Source: https://github.com/ml-explore/mlx-examples

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Apple MLX example projects including FLUX and Stable Diffusion/SDXL image generation, Wan2.1 video, LoRA/QLoRA fine-tuning and Whisper; the primary official route for running these on Apple Silicon unified memory.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "MLX",
    "Apple Silicon Mac"
  ],
  "source_owner": null,
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "Apple Silicon only (MLX); no memory figures verified here.",
  "known_limitations": [
    "Examples, not a supported product; no verified speed/quality comparison with CUDA stacks."
  ],
  "upstream_updated_at": "2026-04-06T18:56:05.000Z"
}
```

Evidence claims:
- [upstream_claim] README lists image generation (FLUX, Stable Diffusion/SDXL), LoRA/QLoRA in the lora folder, Wan2.1 video generation, and audio/multimodal examples; points LLM users to MLX LM as the more featureful package. · source: https://github.com/ml-explore/mlx-examples
- [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=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · Repository page sidebar states MIT. · evidence: https://github.com/ml-explore/mlx-examples
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · Example scripts download third-party weights under their own licenses.

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