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---
license: apache-2.0
base_model:
- Qwen/Qwen3-Omni-30B-A3B-Thinking
tags:
- abliterated
- uncensored
---
# huihui-ai/Huihui-Qwen3-Omni-30B-A3B-Thinking-abliterated
This is an uncensored version of [Qwen/Qwen3-Omni-30B-A3B-Thinking](https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Thinking) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
It was only the text part that was processed, not the image part.
## Usage
```
import soundfile as sf
from transformers import Qwen3OmniMoeForConditionalGeneration, Qwen3OmniMoeProcessor
from qwen_omni_utils import process_mm_info
MODEL_PATH = "huihui-ai/Huihui-Qwen3-Omni-30B-A3B-Thinking-abliterated"
model = Qwen3OmniMoeForConditionalGeneration.from_pretrained(
MODEL_PATH,
dtype="auto",
device_map="auto",
attn_implementation="flash_attention_2",
)
processor = Qwen3OmniMoeProcessor.from_pretrained(MODEL_PATH)
conversation = [
{
"role": "user",
"content": [
{"type": "image", "image": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-Omni/demo/cars.jpg"},
{"type": "audio", "audio": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-Omni/demo/cough.wav"},
{"type": "text", "text": "What can you see and hear? Answer in one short sentence."}
],
},
]
# Set whether to use audio in video
USE_AUDIO_IN_VIDEO = True
# Preparation for inference
text = processor.apply_chat_template(conversation, add_generation_prompt=True, tokenize=False)
audios, images, videos = process_mm_info(conversation, use_audio_in_video=USE_AUDIO_IN_VIDEO)
inputs = processor(text=text,
audio=audios,
images=images,
videos=videos,
return_tensors="pt",
padding=True,
use_audio_in_video=USE_AUDIO_IN_VIDEO)
inputs = inputs.to(model.device).to(model.dtype)
# Inference: Generation of the output text and audio
text_ids, audio = model.generate(**inputs,
speaker="Ethan",
thinker_return_dict_in_generate=True,
use_audio_in_video=USE_AUDIO_IN_VIDEO)
text = processor.batch_decode(text_ids.sequences[:, inputs["input_ids"].shape[1] :],
skip_special_tokens=True,
clean_up_tokenization_spaces=False)
print(text)
if audio is not None:
sf.write(
"output.wav",
audio.reshape(-1).detach().cpu().numpy(),
samplerate=24000,
)
```
### 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.
### Donation
##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.
- bitcoin:
```
bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
```
- Support our work on [Ko-fi](https://ko-fi.com/huihuiai)!