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
Upload 20260426_170350.jpg
1
#21 opened 2 months ago
by
Nioudhbmoo
How to install and use?
#19 opened 2 months ago
by
Anemukxz
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