README.md

---
license: llama3.3
base_model: Steelskull/L3.3-Cu-Mai-R1-70b
pipeline_tag: text-generation
tags:
- mlx
---

# Elypha/L3.3-Cu-Mai-R1-70b-Q4-mlx

The Model [Elypha/L3.3-Cu-Mai-R1-70b-Q4-mlx](https://huggingface.co/Elypha/L3.3-Cu-Mai-R1-70b-Q4-mlx) was converted to MLX format from [Steelskull/L3.3-Cu-Mai-R1-70b](https://huggingface.co/Steelskull/L3.3-Cu-Mai-R1-70b) using mlx-lm version **0.21.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Elypha/L3.3-Cu-Mai-R1-70b-Q4-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)
```