lm-provers · First MLX build 23 Mar 2026
QED-Nano
MLX
Text apache-2.0
A 4B parameter text generation model from lm-provers, with one MLX build at 8-bit.
- Parameters
- 4B From Hugging Face
- Quantisation
- 8-bit QED-Nano-8bit
- Memory needed
- 7 GB Estimate, unified memory
- Download
- 4.3 GB Weights, estimated
- Downloads
- 688 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 7 GB at 8-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/QED-Nano-8bit --prompt "Hello"MLX builds
1 on mlx-community| QED-Nano-8bit | 8-bit | 4.3 GB | 7 GB | 688 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.