---
base_model: arcee-ai/Arcee-Maestro-7B-Preview
library_name: transformers
tags:
- mlx
license: apache-2.0
---

# arcee-ai/Arcee-Maestro-7B-Preview-MLX

The Model [arcee-ai/Arcee-Maestro-7B-Preview-MLX](https://huggingface.co/arcee-ai/Arcee-Maestro-7B-Preview-MLX) was
converted to MLX format from [arcee-ai/Arcee-Maestro-7B-Preview](https://huggingface.co/arcee-ai/Arcee-Maestro-7B-Preview)
using mlx-lm version **0.21.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate
from huggingface_hub import snapshot_download

path = snapshot_download(
    repo_id="arcee-ai/Arcee-Maestro-7B-Preview-MLX",
    allow_patterns="4bit/*",  # This will download everything in the 4bit folder
    local_dir="Arcee-Maestro-7B-Preview-4bit"    # Optional: specify where to save
)

model, tokenizer = load("Arcee-Maestro-7B-Preview-4bit")

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)
```