---
language:
- en
pipeline_tag: text-generation
library_name: transformers
base_model: pradeepannepu/slm02
tags:
- mlx
---

# pradeepannepu/slm02-mlx-2Bit

The Model [pradeepannepu/slm02-mlx-2Bit](https://huggingface.co/pradeepannepu/slm02-mlx-2Bit) was converted to MLX format from [pradeepannepu/slm02](https://huggingface.co/pradeepannepu/slm02) using mlx-lm version **0.29.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("pradeepannepu/slm02-mlx-2Bit")

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)
```