---
language:
- en
license: other
license_name: nvidia-open-model-license
license_link: >-
  https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf
tags:
- mlx
- llm
- nemotron
- apple-silicon
base_model: nvidia/Nemotron-Mini-4B-Instruct
---

# mlx-community/Nemotron-Mini-4B-Instruct-bf16-mlx

This model was converted from [nvidia/Nemotron-Mini-4B-Instruct](https://huggingface.co/nvidia/Nemotron-Mini-4B-Instruct)
to [MLX](https://github.com/ml-explore/mlx) format for use on Apple Silicon.

**Quantization:** No quantization – full bfloat16

## Usage

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/{repo_name}")

prompt = (
    "<extra_id_0>System\\n"
    "You are a helpful, honest AI assistant.\\n\\n"
    "<extra_id_1>User\\n"
    "Who are you?\\n"
    "<extra_id_1>Assistant\\n"
)

print(generate(model, tokenizer, prompt, max_tokens=256))
```

## Benchmark (Apple Silicon, single prompt, 23 tokens)

| Variant | tok/s |
|---|---|
| bf16 (this) | 2.47 |
| 4-bit default | 4.37 |
| mxfp4-q4 | 4.56 |
| nvfp4-q4 | 9.69 |
| mixed-3-6 | 9.72 |

## Original model

See [nvidia/Nemotron-Mini-4B-Instruct](https://huggingface.co/nvidia/Nemotron-Mini-4B-Instruct)
for the original model card, license, and usage terms.