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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)
```
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