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MLX-LM

Fine-Tuning 6.4/10 Solid

Run LLMs with MLX

MLX-LM scores 6.4/10 (Solid) in Fine-Tuning.

Language Python License MIT Stars 6.2k★ Type library Self-host Yes Repo ml-explore/mlx-lm Homepage https://github.com/ml-explore/mlx-lm

Quality

Solid 6.4
Adoption 45
Activity 68
Maturity 85
Community 49
Capability 50
Show the math
Overall 6.4/10
value = 6.4/10
score = value
Adoption 5/10
value = 44.8/100
score = 1 + 9 * value / 100
Activity 7.1/10
value = 68.3/100
score = 1 + 9 * value / 100
Maturity 8.6/10
value = 84.7/100
score = 1 + 9 * value / 100
Community 5.4/10
value = 48.6/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

6.2k★ GitHub stars
34/90d Recent commits
24 devs/90d Recent contributors
1.3y Project age
active Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

mlx apple-silicon lora local on-device