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johninthepool/Qwen3.8-27B-VL-mlx-4bit
Qwen3.8-27B-VL-mlx-4bit is a image-text-to-text model from johninthepool. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
A 4-bit MLX build of Qwen/Qwen3.8-27B with the vision tower preserved, converted with mlx-vlm for Apple Silicon.
Downloads · 30 days
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From the Hugging Face model README
A 4-bit MLX build of Qwen/Qwen3.8-27B with the vision tower preserved, converted with mlx-vlm for Apple Silicon.
Qwen3.8-27B ships with a vision encoder. The MTPLX text-only builds in this account are converted with mtplx forge, which preserves the model's multi-token-prediction (MTP) head for native speculative decoding — but drops the vision tower, since mtplx/mlx-lm's conversion path is text-only.
This repo is the inverse tradeoff: converted with mlx-vlm instead, which keeps the vision tower intact so the model can actually process images and video, but does not carry mtplx's MTP contract — no speculative decoding here.
| Variant | Vision | MTP / spec-decode |
|---|---|---|
| MTPLX-4bit | No | Yes |
| MTPLX-8bit | No | Yes |
| MTPLX-bf16 | No | Yes |
| VL-mlx-4bit (this repo) | Yes | No |
| Parameter | Value |
|---|---|
| Precision | 4-bit (4.695 effective bits/weight) |
| Group size | 64 |
| Source | Qwen/Qwen3.8-27B (bf16 native) |
| Toolchain | mlx-vlm (not mtplx) |
pip install -U mlx-vlmpython -m mlx_vlm generate --model johninthepool/Qwen3.8-27B-VL-mlx-4bit \
--image path/to/image.jpg --prompt "Describe this image."
Converted directly from Qwen/Qwen3.8-27B with no fine-tuning or distillation — a direct 4-bit affine quantization of the release weights, vision tower included.