README.md

---
license: llama2
library_name: transformers
tags:
- mlx
datasets:
- aqua_rat
- microsoft/orca-math-word-problems-200k
- m-a-p/CodeFeedback-Filtered-Instruction
---

# voxmenthe/Smaug-Llama-3-70B-Instruct-mlx-8bit

The Model [voxmenthe/Smaug-Llama-3-70B-Instruct-mlx-8bit](https://huggingface.co/voxmenthe/Smaug-Llama-3-70B-Instruct-mlx-8bit) was converted to MLX format from [abacusai/Smaug-Llama-3-70B-Instruct](https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct) using mlx-lm version **0.13.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("voxmenthe/Smaug-Llama-3-70B-Instruct-mlx-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```