MT
ARahim3/mlx-tune
Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, and Vision fine-tuning — natively on MLX. Unsloth-compatible API.
1.0k 62 +9/wk
GitHub
apple-silicon deep-learning huggingface large-language-models llm llm-finetuning local-llm lora machine-learning macos mlx on-device-ai
Trend
3
Star & Fork Trend (50 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ARahim3/mlx-tune has +9 stars this period . 7-day velocity: 2.1%.
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Signal-backed technical analysis will be available soon.
| Metric | mlx-tune | NeuroSploit | Prompt4ReasoningPapers | tensornets |
|---|---|---|---|---|
| Stars | 1.0k | 1.0k | 1.0k | 1.0k |
| Forks | 62 | 248 | 67 | 179 |
| Weekly Growth | +9 | +2 | +0 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | MIT | MIT |
Capability Radar vs NeuroSploit
mlx-tune
NeuroSploit
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 31
Fork-to-star ratio: 6.2%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 94
+9 stars this period — 0.90% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.