Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

huihui-ai
/
Huihui-Qwen3.5-35B-A3B-abliterated

Image-Text-to-Text
Transformers
Safetensors
qwen3_5_moe
abliterated
uncensored
conversational
Model card Files Files and versions
xet
Community
21

Instructions to use huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated")
    messages = [
        {
            "role": "user",
            "content": [
                {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
                {"type": "text", "text": "What animal is on the candy?"}
            ]
        },
    ]
    pipe(text=messages)
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated")
    model = AutoModelForMultimodalLM.from_pretrained("huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated")
    messages = [
        {
            "role": "user",
            "content": [
                {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
                {"type": "text", "text": "What animal is on the candy?"}
            ]
        },
    ]
    inputs = processor.apply_chat_template(
    	messages,
    	add_generation_prompt=True,
    	tokenize=True,
    	return_dict=True,
    	return_tensors="pt",
    ).to(model.device)
    
    outputs = model.generate(**inputs, max_new_tokens=40)
    print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated",
    		"messages": [
    			{
    				"role": "user",
    				"content": [
    					{
    						"type": "text",
    						"text": "Describe this image in one sentence."
    					},
    					{
    						"type": "image_url",
    						"image_url": {
    							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
    						}
    					}
    				]
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated
  • SGLang

    How to use huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated with SGLang:

    Install from pip and serve model
    # Install SGLang from pip:
    pip install sglang
    # Start the SGLang server:
    python3 -m sglang.launch_server \
        --model-path "huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated",
    		"messages": [
    			{
    				"role": "user",
    				"content": [
    					{
    						"type": "text",
    						"text": "Describe this image in one sentence."
    					},
    					{
    						"type": "image_url",
    						"image_url": {
    							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
    						}
    					}
    				]
    			}
    		]
    	}'
    Use Docker images
    docker run --gpus all \
        --shm-size 32g \
        -p 30000:30000 \
        -v ~/.cache/huggingface:/root/.cache/huggingface \
        --env "HF_TOKEN=<secret>" \
        --ipc=host \
        lmsysorg/sglang:latest \
        python3 -m sglang.launch_server \
            --model-path "huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated",
    		"messages": [
    			{
    				"role": "user",
    				"content": [
    					{
    						"type": "text",
    						"text": "Describe this image in one sentence."
    					},
    					{
    						"type": "image_url",
    						"image_url": {
    							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
    						}
    					}
    				]
    			}
    		]
    	}'
  • Docker Model Runner

    How to use huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated with Docker Model Runner:

    docker model run hf.co/huihui-ai/Huihui-Qwen3.5-35B-A3B-abliterated
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Upload 20260426_170350.jpg

1
#21 opened 2 months ago by
Nioudhbmoo

How to install and use?

#19 opened 2 months ago by
Anemukxz

привет

1
#18 opened 3 months ago by
hichkim

test

2
#17 opened 3 months ago by
Rudek

Fftt

1
#16 opened 3 months ago by
Xuiwanlyan

Разговор

1
#15 opened 3 months ago by
damirkondratenko23

[Question] Best uncensoring approach for MoE models like Qwen3.5-35B-A3B?

3
#14 opened 3 months ago by
Fenrenaf446

It works but now well in nsfw

1
#13 opened 4 months ago by
alalaalala

Inquiry Regarding Availability of Qwen3.5-122B-A10B Model

1
#12 opened 4 months ago by
Bronyaaa

LM Studio

3
#10 opened 4 months ago by
Fintred

Как создавать изображения ?

3
#9 opened 4 months ago by
darinana

Abliterate on models with low KLD

👍 2
#8 opened 4 months ago by
sebastienbo

Error 500

8
#7 opened 4 months ago by
Karon2918

What are the optimal parameters for think and no_think?

#6 opened 4 months ago by
joonsoo-me

Does this VLM not have the ability to caption NSFW images?

5
#4 opened 4 months ago by
Noire1

Request: DOI

2
#2 opened 4 months ago by
cyboghostginx

Request: Abliterated version for nvidia/Qwen3.5-397B-A17B-NVFP4 (Handling NVFP4)

➕ 5
#1 opened 4 months ago by
88hoon
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs