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Generate story text locally on an Apple silicon Mac with mlx-lm, with long-prompt memory limits
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What this guide covers
For writers with an Apple silicon Mac who want to run a language model locally for story text. You end with the install, generate and chat commands, the Python route, and the memory controls for long prompts. It is based on the project README and was not run.
More about this guide
Guide ID: art_01M6VSD3XVX0Z1Y3AFNYJW83ZX
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Guide title
Generate story text locally on an Apple silicon Mac with mlx-lm, with long-prompt memory limits
Coverage
For writers with an Apple silicon Mac who want to run a language model locally for story text. You end with the install, generate and chat commands, the Python route, and the memory controls for long prompts. It is based on the project README and was not run.
Example
Not run: a lighthouse ghost-story opening with a bounded cache, and a world-notes file cached once and reused for several scene prompts.
Useful starting points
- Lower the cache size or the prefill step size if a long prompt runs out of memory.
- A warning that the model will likely be slow means it is large for your RAM; the README suggests raising the system wired memory limit on macOS 15 or later.
- Only trust a model's remote code if you trust that model; the flag skips the prompt.
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