Marco-o1-Q8-mlx / README.md
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---
license: apache-2.0
library_name: transformers
inference: false
tags:
- mlx
base_model: AIDC-AI/Marco-o1
---
# Beygo/Marco-o1-Q8-mlx
The Model [Beygo/Marco-o1-Q8-mlx](https://huggingface.co/Beygo/Marco-o1-Q8-mlx) was converted to MLX format from [AIDC-AI/Marco-o1](https://huggingface.co/AIDC-AI/Marco-o1) using mlx-lm version **0.19.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Beygo/Marco-o1-Q8-mlx")
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)
```