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Llama-3.1-Nemotron-Nano-4B-v1.1-4bit

mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-4bit
4-bit Open on Hugging Face
Parameters
4.5B
Weights (est.)
≈ 2.5 GB
Mac memory (est.)
8 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-4bit --prompt "Hello"

Details

Base model
nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1 (quantized)
Vendor
NVIDIA
Task
Text generation
Quantisation
4-bit
Licence
nvidia-open-model-license
Downloads
294 in the last 30 days · 2.8K all time · 0 likes
Published
2025-06-04 · updated 2025-06-04 (1y ago)
Languages
en
Tags
llama, nvidia, llama-3, pytorch

Other MLX builds of nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1

Build Quantisation Weights Mac memory Downloads
Llama-3.1-Nemotron-Nano-4B-v1.1-4bit (this one) 4-bit ≈ 2.5 GB 8 GB+ 294
Llama-3.1-Nemotron-Nano-4B-v1.1-8bit 8-bit ≈ 4.8 GB 8 GB+ 158
Llama-3.1-Nemotron-Nano-4B-v1.1-bf16 bf16 ≈ 9.0 GB 16 GB+ 169