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---
base_model: mistralai/Mamba-Codestral-7B-v0.1
license: apache-2.0
tags:
- mlx
extra_gated_description: If you want to learn more about how we process your personal
data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
---
# mlx-community/Mamba-Codestral-7B-v0.1-2bits
The Model [mlx-community/Mamba-Codestral-7B-v0.1-2bits](https://huggingface.co/mlx-community/Mamba-Codestral-7B-v0.1-2bits) was converted to MLX format from [mistralai/Mamba-Codestral-7B-v0.1](https://huggingface.co/mistralai/Mamba-Codestral-7B-v0.1) using mlx-lm version **0.18.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Mamba-Codestral-7B-v0.1-2bits")
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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