---
license: apache-2.0
language:
- en
base_model: futurehouse/ether0
datasets:
- futurehouse/ether0-benchmark
pipeline_tag: text-generation
tags:
- smiles
- chemistry
- reasoning
- mlx
library_name: mlx
---

# mlx-community/ether0-8bit

This model [mlx-community/ether0-8bit](https://huggingface.co/mlx-community/ether0-8bit) was
converted to MLX format from [futurehouse/ether0](https://huggingface.co/futurehouse/ether0)
using mlx-lm version **0.25.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/ether0-8bit")

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)
```