---
library_name: transformers
license: cc-by-sa-4.0
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- ga
- hr
- hu
- it
- lt
- lv
- mt
- nl
- pl
- pt
- ro
- sk
- sl
- sv
pipeline_tag: text-generation
base_model: kyutai/helium-1-2b
tags:
- mlx
---

# gyopak/helium-1-2b-mlx-4Bit

The Model [gyopak/helium-1-2b-mlx-4Bit](https://huggingface.co/gyopak/helium-1-2b-mlx-4Bit) was converted to MLX format from [kyutai/helium-1-2b](https://huggingface.co/kyutai/helium-1-2b) using mlx-lm version **0.22.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("gyopak/helium-1-2b-mlx-4Bit")

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)
```