NVIDIA · First MLX build 2 Jun 2025
Nemotron-Research-Reasoning-Qwen-1.5B
MLX
cc-by-nc-4.0
A 1.8B parameter model from NVIDIA, with 3 MLX builds, from 4-bit to bf16.
- Parameters
- 1.8B From Hugging Face
- Quantisation
- 8-bit Nemotron-Research-Reasoning-Qwen-1.5B-8bit
- Memory needed
- 5 GB Estimate, unified memory
- Download
- 1.9 GB Weights, estimated
- Downloads
- 38 This build, last 30 days
- Task
- —
- MLX builds
- 3 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 5 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 · Hugging Face CLI$ pip install -U huggingface_hub
$ hf download mlx-community/Nemotron-Research-Reasoning-Qwen-1.5B-8bitMLX builds
3 on mlx-community| Nemotron-Research-Reasoning-Qwen-1.5B-4bit | 4-bit | 1000 MB | 4 GB | 14 |
|---|---|---|---|---|
| Nemotron-Research-Reasoning-Qwen-1.5B-8bit | 8-bit | 1.9 GB | 5 GB | 38 |
| Nemotron-Research-Reasoning-Qwen-1.5B-bf16 | bf16 | 3.6 GB | 6 GB | 20 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.