NVIDIA · First MLX build 25 Apr 2025
OpenMath-Nemotron-32B
MLX
Text cc-by-4.0
A 33B parameter text generation model from NVIDIA, with one MLX build at 4-bit.
- Parameters
- 33B From Hugging Face
- Quantisation
- 4-bit OpenMath-Nemotron-32B-4bit
- Memory needed
- 23 GB Estimate, unified memory
- Download
- 18.4 GB Weights, estimated
- Downloads
- 33 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 23 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-lm$ pip install -U mlx-lm
$ mlx_lm.generate --model mlx-community/OpenMath-Nemotron-32B-4bit --prompt "Hello"MLX builds
1 on mlx-community| OpenMath-Nemotron-32B-4bit | 4-bit | 18.4 GB | 23 GB | 33 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.