---
datasets:
- zed-industries/zeta
license: apache-2.0
base_model: zed-industries/zeta
tags:
- mlx
---

# Alejandroolmedo/zeta-mlx

The Model [Alejandroolmedo/zeta-mlx](https://huggingface.co/Alejandroolmedo/zeta-mlx) was
converted to MLX format from [zed-industries/zeta](https://huggingface.co/zed-industries/zeta)
using mlx-lm version **0.21.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Alejandroolmedo/zeta-mlx")

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)
```