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On Apple Silicon, [mlx-lm](https://github.com/ml-explore/mlx-lm) gives meaningfully faster inference than llama.cpp-based backends for models under roughly 14B parameters.
mlx-lm serves models under their full Hugging Face repo ID. Use the exact `id` field from `curl $OPENAI_BASE_URL/models` for `--model`. A bare name like `qwen2.5-coder-7b-instruct` will fail model resolution before the request ever reaches the server.
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## Local skills install from disk
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Skills are discovered from Claw skill roots such as `.claw/skills/` in a workspace and `~/.claw/skills/` for user-level installs. Legacy `.codex/skills/` roots may also be scanned for compatibility, but new local Claw projects should prefer `.claw/skills/`.
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| Plain prompt works but tools fail | Confirm the model/server supports OpenAI-compatible tool calls and response shapes. |
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| Skill says installed but `/skills <name>` fails | Check `/skills list` for the discovered name and source; verify provider credentials separately with `claw doctor`. |
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| A local docs/log file contains secrets | Redact it before using `@path` file context or attaching it to an issue. |
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|`404 Repository Not Found` from huggingface.co when running `claw`| The `--model` value isn't a full Hugging Face repo ID. Use the exact `id` field from `curl $OPENAI_BASE_URL/models`, not a bare model name. |
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| mlx-lm output includes a trailing `<|im_end|>`, or generation runs long | Unfixed mlx-lm bug ([#973](https://github.com/ml-explore/mlx-lm/issues/973), closed without a merge). Set `eos_token_id` in the cached `generation_config.json` (or `config.json`) to the real end-of-turn token. |
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