---
pipeline_tag: text-generation
inference: false
license: apache-2.0
library_name: mlx
tags:
- language
- granite-3.2
- mlx
base_model: alexgusevski/granite-3.2-2b-instruct-q4-mlx
---

# DQN-Labs/dqncode_v0.4_prototype

This model [DQN-Labs/dqncode_v0.4_prototype](https://huggingface.co/DQN-Labs/dqncode_v0.4_prototype) was
converted to MLX format from [alexgusevski/granite-3.2-2b-instruct-q4-mlx](https://huggingface.co/alexgusevski/granite-3.2-2b-instruct-q4-mlx)
using mlx-lm version **0.31.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("DQN-Labs/dqncode_v0.4_prototype")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```