NVIDIA · First MLX build 4 Jun 2025
Llama-3.1-Nemotron-Nano-4B-v1.1
MLX
Text nvidia-open-model-license
A 4.5B parameter text generation model from NVIDIA, with 3 MLX builds, from 4-bit to bf16.
- Parameters
- 4.5B From Hugging Face
- Quantisation
- 4-bit Llama-3.1-Nemotron-Nano-4B-v1.1-4bit
- Memory needed
- 5 GB Estimate, unified memory
- Download
- 2.5 GB Weights, estimated
- Downloads
- 296 This build, last 30 days
- Task
- Text generation Text
- MLX builds
- 3 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 5 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/Llama-3.1-Nemotron-Nano-4B-v1.1-4bit --prompt "Hello"MLX builds
3 on mlx-community| Llama-3.1-Nemotron-Nano-4B-v1.1-4bit | 4-bit | 2.5 GB | 5 GB | 296 |
|---|---|---|---|---|
| Llama-3.1-Nemotron-Nano-4B-v1.1-8bit | 8-bit | 4.8 GB | 8 GB | 154 |
| Llama-3.1-Nemotron-Nano-4B-v1.1-bf16 | bf16 | 9.0 GB | 13 GB | 191 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.