mlx-tune

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Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

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Python Apache-2.0Created Jan 3, 2026

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Maintenance: Active (17d since push); As of today · Source: github_public_v1
Provenance: Not a fork · Personal account; As of today · Source: github_public_v1
Security (OSV): 46 low (46 low); As of today · Source: osv@v1

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Overview

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Jul 11, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

```python from mlx_tune import FastLanguageModel, SFTTrainer, SFTConfig

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README

Quick Start

from mlx_tune import FastLanguageModel, SFTTrainer, SFTConfig
from datasets import load_dataset

---

# Load any HuggingFace model (1B model for quick start)
model, tokenizer = FastLanguageModel.from_pretrained(
    model_name="mlx-community/Llama-3.2-1B-Instruct-4bit",
    max_seq_length=2048,
    load_in_4bit=True,
)

---

## Requirements

- **Hardware**: Apple Silicon Mac (M1/M2/M3/M4/M5)
- **OS**: macOS 13.0+
- **Memory**: 8GB+ unified RAM (16GB+ recommended)
- **Python**: 3.9+

---

## License

Apache 2.0 - See [LICENSE](LICENSE) file.