---
language:
- code
pipeline_tag: text-generation
tags:
- llama-2
- mlx
license: llama2
library_name: mlx
base_model: codellama/CodeLlama-7b-Instruct-hf
---

# javiergtzr/CodeLlama-7b-Instruct-hf-4bit

This model [javiergtzr/CodeLlama-7b-Instruct-hf-4bit](https://huggingface.co/javiergtzr/CodeLlama-7b-Instruct-hf-4bit) was
converted to MLX format from [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf)
using mlx-lm version **0.24.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("javiergtzr/CodeLlama-7b-Instruct-hf-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)
```