---
license: mit
library_name: mlx
base_model: huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated
tags:
- chat
- abliterated
- uncensored
- mlx
extra_gated_prompt: '**Usage Warnings**


  “**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering
  has been significantly reduced, potentially generating sensitive, controversial,
  or inappropriate content. Users should exercise caution and rigorously review generated
  outputs.

  “**Not Suitable for All Audiences**:“ Due to limited content filtering, the model’s
  outputs may be inappropriate for public settings, underage users, or applications
  requiring high security.

  “**Legal and Ethical Responsibilities**“: Users must ensure their usage complies
  with local laws and ethical standards. Generated content may carry legal or ethical
  risks, and users are solely responsible for any consequences.

  “**Research and Experimental Use**“: It is recommended to use this model for research,
  testing, or controlled environments, avoiding direct use in production or public-facing
  commercial applications.

  “**Monitoring and Review Recommendations**“: Users are strongly advised to monitor
  model outputs in real-time and conduct manual reviews when necessary to prevent
  the dissemination of inappropriate content.

  “**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone
  rigorous safety optimization. huihui.ai bears no responsibility for any consequences
  arising from its use.'
pipeline_tag: text-generation
---

# SnowFlash383935/DeepSeek-R1-0528-Qwen3-8B-abliterated-mlx

This model [SnowFlash383935/DeepSeek-R1-0528-Qwen3-8B-abliterated-mlx](https://huggingface.co/SnowFlash383935/DeepSeek-R1-0528-Qwen3-8B-abliterated-mlx) was
converted to MLX format from [huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated](https://huggingface.co/huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated)
using mlx-lm version **0.25.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("SnowFlash383935/DeepSeek-R1-0528-Qwen3-8B-abliterated-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)
```