---
base_model: unsloth/Llama-3.2-1B-Instruct
language:
- en
library_name: transformers
license: llama3.2
tags:
- llama-3
- llama
- meta
- facebook
- unsloth
- transformers
- mlx
---

# shashikanth-a/Llama-3.2-1B-Instruct-4bit

The Model [shashikanth-a/Llama-3.2-1B-Instruct-4bit](https://huggingface.co/shashikanth-a/Llama-3.2-1B-Instruct-4bit) was converted to MLX format from [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) using mlx-lm version **0.19.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("shashikanth-a/Llama-3.2-1B-Instruct-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)
```