---
base_model: Daemontatox/Zireal-R1
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
- mlx
- mlx-my-repo
license: apache-2.0
language:
- en
datasets:
- Daemontatox/math_conv
library_name: transformers
---

# saviochow/Zireal-R1-mlx-8Bit

The Model [saviochow/Zireal-R1-mlx-8Bit](https://huggingface.co/saviochow/Zireal-R1-mlx-8Bit) was converted to MLX format from [Daemontatox/Zireal-R1](https://huggingface.co/Daemontatox/Zireal-R1) using mlx-lm version **0.26.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("saviochow/Zireal-R1-mlx-8Bit")

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)
```