---
base_model: mlx-community/Mistral-7B-Instruct-v0.2-4bit
license: apache-2.0
pipeline_tag: text-generation
tags:
- finetuned
- mlx
- mlx
inference: true
widget:
- messages:
  - role: user
    content: What is your favorite condiment?
---

# AravD/Mistral-7B-Instruct-PaulAI

The Model [AravD/Mistral-7B-Instruct-PaulAI](https://huggingface.co/AravD/Mistral-7B-Instruct-PaulAI) was converted to MLX format from [mlx-community/Mistral-7B-Instruct-v0.2-4bit](https://huggingface.co/mlx-community/Mistral-7B-Instruct-v0.2-4bit) using mlx-lm version **0.19.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("AravD/Mistral-7B-Instruct-PaulAI")

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)
```