---
license: apache-2.0
datasets:
- Crownelius/Opus-4.5-3000x
language:
- en
base_model: ewald1976/nemo-crownelius-st-12b
pipeline_tag: text-generation
tags:
- unsloth
- style-tune
- mistral
- nemo
- 12b
- creative
- mlx
- mlx-my-repo
---

# usermma/nemo-crownelius-st-12b-mlx-6Bit

The Model [usermma/nemo-crownelius-st-12b-mlx-6Bit](https://huggingface.co/usermma/nemo-crownelius-st-12b-mlx-6Bit) was converted to MLX format from [ewald1976/nemo-crownelius-st-12b](https://huggingface.co/ewald1976/nemo-crownelius-st-12b) using mlx-lm version **0.31.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("usermma/nemo-crownelius-st-12b-mlx-6Bit")

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)
```