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---
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)
```
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