README.md

---
library_name: transformers
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
- mlx-my-repo
base_model: nvidia/Llama-3_3-Nemotron-Super-49B-v1_5
---

# LogicBombaklot/Llama-3_3-Nemotron-Super-49B-v1_5-mlx-8Bit

The Model [LogicBombaklot/Llama-3_3-Nemotron-Super-49B-v1_5-mlx-8Bit](https://huggingface.co/LogicBombaklot/Llama-3_3-Nemotron-Super-49B-v1_5-mlx-8Bit) was converted to MLX format from [nvidia/Llama-3_3-Nemotron-Super-49B-v1_5](https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1_5) using mlx-lm version **0.26.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("LogicBombaklot/Llama-3_3-Nemotron-Super-49B-v1_5-mlx-8Bit")

prompt="hello"

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

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