README.md

---
license: apache-2.0
base_model: DeepHat/DeepHat-V1-7B
language:
- en
pipeline_tag: text-generation
library_name: mlx
tags:
- code
- qwen-coder
- cybersecurity
- devops
- mlx
---

# Otilde/DeepHat-V1-7B-Q8-MLX

This model [Otilde/DeepHat-V1-7B-Q8-MLX](https://huggingface.co/Otilde/DeepHat-V1-7B-Q8-MLX) was
converted to MLX format from [DeepHat/DeepHat-V1-7B](https://huggingface.co/DeepHat/DeepHat-V1-7B)
using mlx-lm version **0.28.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Otilde/DeepHat-V1-7B-Q8-MLX")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```