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---
license: llama3.1
library_name: transformers
pipeline_tag: text-to-3d
tags:
- mesh-generation
- mlx
base_model: Zhengyi/LLaMA-Mesh
---
# alexgusevski/LLaMA-Mesh-q3-mlx
The Model [alexgusevski/LLaMA-Mesh-q3-mlx](https://huggingface.co/alexgusevski/LLaMA-Mesh-q3-mlx) was
converted to MLX format from [Zhengyi/LLaMA-Mesh](https://huggingface.co/Zhengyi/LLaMA-Mesh)
using mlx-lm version **0.21.4**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/LLaMA-Mesh-q3-mlx")
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)
```
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