README.md

---
library_name: vllm
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
inference: false
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>.
tags:
- vllm
- mistral-common
- mlx
- mlx-my-repo
---

# SkyStar-tech/Mistral-7B-Instruct-v0.3-mlx-4Bit

The Model [SkyStar-tech/Mistral-7B-Instruct-v0.3-mlx-4Bit](https://huggingface.co/SkyStar-tech/Mistral-7B-Instruct-v0.3-mlx-4Bit) was converted to MLX format from [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) using mlx-lm version **0.31.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("SkyStar-tech/Mistral-7B-Instruct-v0.3-mlx-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)
```