---
license: llama3.2
pipeline_tag: text-generation
base_model: scb10x/llama3.2-typhoon2-3b-instruct
tags:
- mlx
---
# Float16-cloud/llama3.2-typhoon2-3b-instruct-mlx-8bit

The Model [Float16-cloud/llama3.2-typhoon2-3b-instruct-mlx-8bit](https://huggingface.co/Float16-cloud/llama3.2-typhoon2-3b-instruct-mlx-8bit) was
converted to MLX format from [scb10x/llama3.2-typhoon2-3b-instruct](https://huggingface.co/scb10x/llama3.2-typhoon2-3b-instruct)
using mlx-lm version **0.20.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate
model, tokenizer = load("Float16-cloud/llama3.2-typhoon2-3b-instruct-mlx-8bit")
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)
```