Goekdeniz-Guelmez · First MLX build 23 Jan 2026
Granite-4.0-350m-gabliterated
MLX
Text
A 352M parameter text generation model from Goekdeniz-Guelmez, with 4 MLX builds, from 4-bit to 8-bit.
- Parameters
- 352M From Hugging Face
- Quantisation
- 6-bit Granite-4.0-350m-gabliterated-6bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 286 MB Weights, estimated
- Downloads
- 26 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 GB at 6-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-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/Granite-4.0-350m-gabliterated-6bit --prompt "Hello"MLX builds
4 on mlx-community| Granite-4.0-350m-gabliterated-4bit | 4-bit | 198 MB | 3 GB | 23 |
|---|---|---|---|---|
| Granite-4.0-350m-gabliterated-6bit | 6-bit | 286 MB | 3 GB | 26 |
| Granite-4.0-350m-gabliterated-8bit | 8-bit | 374 MB | 3 GB | 21 |
| Granite-4.0-350m-gabliterated-bfloat16 | Unstated | 705 MB | 3 GB | 23 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.