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---
language:
- en
library_name: transformers
license: apache-2.0
tags:
- unsloth
- transformers
- codellama
- mlx
base_model: unsloth/codellama-7b
---
# shashikanth-a/codellama-7b-4bit
The Model [shashikanth-a/codellama-7b-4bit](https://huggingface.co/shashikanth-a/codellama-7b-4bit) was converted to MLX format from [unsloth/codellama-7b](https://huggingface.co/unsloth/codellama-7b) 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/codellama-7b-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)
```
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