---
license: llama3.2
pipeline_tag: text-generation
library_name: mlx
base_model: scb10x/llama3.2-typhoon2-1b
tags:
- mlx
---

# scb10x/llama3.2-typhoon2-1b-mlx-4bit

This model [scb10x/llama3.2-typhoon2-1b-mlx-4bit](https://huggingface.co/scb10x/llama3.2-typhoon2-1b-mlx-4bit) was
converted to MLX format from [scb10x/llama3.2-typhoon2-1b](https://huggingface.co/scb10x/llama3.2-typhoon2-1b)
using mlx-lm version **0.25.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("scb10x/llama3.2-typhoon2-1b-mlx-4bit")

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)
```