# jjang-ai/jangq

<https://repo.masters-masters.com/en/repos/jjang-ai/jangq>

[Home](https://repo.masters-masters.com/en) › [jjang-ai](https://repo.masters-masters.com/en/owners/jjang-ai) › [jangq](https://repo.masters-masters.com/en/repos/jjang-ai/jangq)

jjang-ai/jangq has 232 stars on GitHub. Its RepoMasters card: Prototype tier. JANG — GGUF for MLX. YOU MUST USE JANG\_Q RUNTIME. Adaptive Mixed-Precision…

| Field | Value |
| --- | --- |
| Owner | [jjang-ai](https://repo.masters-masters.com/en/owners/jjang-ai) |
| Stars | 232 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2026 |
| Topics | gguf, llamacpp, llm, mlx, mlxllm, quantization, apple-silicon, jang-quantization, omlx, omlx-alternative |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jjang-ai/jangq](https://github.com/jjang-ai/jangq) |

## Repository

JANG — GGUF for MLX. YOU MUST USE JANG\_Q RUNTIME. Adaptive Mixed-Precision Quantization + Runtime for Apple Silicon

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
