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---
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)
```
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