---
license: apache-2.0
base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3
tags:
- mlx
---

# Cozmicalz/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-mlx-3Bit

The Model [Cozmicalz/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-mlx-3Bit](https://huggingface.co/Cozmicalz/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-mlx-3Bit) was converted to MLX format from [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.3) using mlx-lm version **0.22.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Cozmicalz/Mistral-Nemo-12B-ArliAI-RPMax-v1.3-mlx-3Bit")

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)
```