---
license: mit
license_link: https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE
language:
- en
pipeline_tag: text-generation
tags:
- phi
- nlp
- math
- code
- chat
- conversational
- heretic
- uncensored
- decensored
- abliterated
- mlx
- mlx-my-repo
inference:
  parameters:
    temperature: 0
widget:
- messages:
  - role: user
    content: How should I explain the Internet?
library_name: transformers
base_model: p-e-w/phi-4-heretic
---

# Wwayu/phi-4-heretic-mlx-8Bit

The Model [Wwayu/phi-4-heretic-mlx-8Bit](https://huggingface.co/Wwayu/phi-4-heretic-mlx-8Bit) was converted to MLX format from [p-e-w/phi-4-heretic](https://huggingface.co/p-e-w/phi-4-heretic) using mlx-lm version **0.28.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Wwayu/phi-4-heretic-mlx-8Bit")

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)
```