bottlecapai · First MLX build 14 Jul 2026
ThinkingCap-Qwen3.6-27B
MLX
TextVision apache-2.0 Trending
A 27B parameter vision and text model from bottlecapai, with 2 MLX builds, from 4-bit to 6-bit.
- Parameters
- 27B From Hugging Face
- Quantisation
- 4-bit ThinkingCap-Qwen3.6-27B-OptiQ-4bit
- Memory needed
- 20 GB Estimate, unified memory
- Download
- 16.1 GB Weights, estimated
- Downloads
- 354 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 2 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 20 GB at 4-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · mlx-vlm$ pip install -U mlx-vlm
$ python -m mlx_vlm.generate --model mlx-community/ThinkingCap-Qwen3.6-27B-OptiQ-4bit --image photo.jpg --prompt "Describe this image"MLX builds
2 on mlx-community| ThinkingCap-Qwen3.6-27B-OptiQ-4bit | 4-bit | 16.1 GB | 20 GB | 354 |
|---|---|---|---|---|
| ThinkingCap-Qwen3.6-27B-mlx-6Bit | 6-bit | 21.9 GB | 27 GB | 168 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.