---
library_name: mlx
license: other
license_name: nvidia-open-model-license
license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
pipeline_tag: text-generation
language:
- en
tags:
- nvidia
- llama-3
- pytorch
- mlx
base_model: nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1
datasets:
- nvidia/Llama-Nemotron-Post-Training-Dataset
---

# mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-8bit

This model [mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-8bit](https://huggingface.co/mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-8bit) was
converted to MLX format from [nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1)
using mlx-lm version **0.25.0**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-8bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```