ARahim3/mlx-tune

Health v2 · maintenance only

Adoption not part of the score

1389 stars · 91 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library for fine-tuning LLMs, vision-language, audio (TTS/STT), embedding, OCR, and JEPA models natively on Apple Silicon Macs using Apple's MLX framework. It provides an Unsloth-compatible API so existing Unsloth training scripts run on Macs with only an import change, and exports to HuggingFace or GGUF formats.

Use cases

• fine-tune an LLM with LoRA on my MacBook without a cloud GPU
• run my existing Unsloth training script on Apple Silicon
• fine-tune Whisper for speech-to-text locally on a Mac
• train a TTS model with LoRA on Apple Silicon
• fine-tune a vision-language model like Qwen on my Mac
• train sentence embeddings for semantic search on-device
• fine-tune an OCR model for receipts or handwriting recognition
• prototype fine-tuning locally then move the same script to a CUDA cluster

When to choose

• you want to fine-tune LLMs or multimodal models locally on an M1-M5 Mac without cloud GPUs
• you already use Unsloth and want code portability between Mac prototyping and CUDA training
• you need LoRA fine-tuning across many modalities (text, vision, audio, OCR, embeddings) in one library
• you want to export fine-tuned models to GGUF for Ollama or llama.cpp

When to avoid

• you need maximum training throughput on large-scale clusters — CUDA-based tools like Unsloth are the gold standard
• you are on Linux or Windows with NVIDIA GPUs — this is Apple Silicon only
• you need full fine-tuning of very large models beyond unified memory limits
• you require a battle-tested, officially supported tool — this is an unofficial community project

Facets

library · maturity active

llm-training machine-learning deep-learning speech-recognition tts ocr transformers large-language-models machine-learning deep-learning speech-processing computer-vision python mlx apple-silicon lora peft fine-tuning unsloth-compatible sft dpo grpo vision-language-model whisper gguf-export huggingface on-device-ai jepa mixture-of-experts natural-language-processing macos gpu

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markdown · JSON · MCP: product_card(name="ARahim3/mlx-tune")