training

MLX-LM is not installed or detected

GoldCap prepared data, but the user’s local environment cannot launch the configured MLX-LM command.

Search another error

Curious Obmil examines three clearly separated illuminated diagnostic paths inside a brass-and-crystal crossroads — Decode the cause before choosing the response.

MATCH THESE VISIBLE STRINGS

ModuleNotFoundError: No module named 'mlx_lm'
MLX toolkit unavailable
mlx_lm: command not found

LIKELY CAUSES

mlx-lm is not installed in the selected Python environment
The companion launches a different environment
The device is not an Apple silicon Mac
The command profile is incorrect

NEVER DO THIS

Do not claim training started when only data preparation finished
Do not use MLX-LM instructions on unsupported hardware

SMALLEST DIAGNOSTIC FIRST

Repair sequence

01

Confirm Apple silicon and macOS

02

Follow the Local Companion MLX installation guide

03

Run the toolkit’s own version/help command in the same environment

04

Update the companion command profile

05

Prepare data again only if the dataset changed