MLX Studio — the only app that natively supports JANG models
LM Studio, Ollama, oMLX, Inferencer and other MLX apps do not support JANG yet. Use MLX Studio for native JANG support, or pip install jang for Python inference. Ask your favorite app's creators to add JANG support!
JANGQ-AI — JANG Quantized Models for Apple Silicon
JANG (Jang Adaptive N-bit Grading) — the GGUF equivalent for MLX.
Same size as MLX, smarter bit allocation. Models stay quantized in GPU memory at full Metal speed.
Install
pip install "jang[mlx]"
Models
| Model | Profile | MMLU | HumanEval | Size |
|---|---|---|---|---|
| Qwen3.5-122B-A10B-JANG_2S | 2-bit | 84% | 90% | 38 GB |
| Qwen3.5-35B-A3B-JANG_4K | 4-bit K-quant | 84% | 90% | 16.7 GB |
| Qwen3.5-35B-A3B-JANG_2S | 2-bit | 62% | — | 12 GB |
Links
GitHub · PyPI · MLX Studio
Created by Jinho Jang — jangq.ai · @dealignai
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