Image-Text-to-Text
Transformers
Safetensors
qwen3_5
abliterated
uncensored
Claude
reasoning
chain-of-thought
Dense
conversational
Instructions to use huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-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, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated") model = AutoModelForImageTextToText.from_pretrained("huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-abliterated
- SGLang
How to use huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-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-Qwen3.5-27B-Claude-4.6-Opus-abliterated with Docker Model Runner:
docker model run hf.co/huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated
Jackrong/Qwopus3.5-27B-v3-GGUF 有第三版了。。
#9 opened 2 months ago
by
JerryQ
Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2 有第二版了。。
12
#8 opened 2 months ago
by
PeterchanCN
Creating and editing photos
#6 opened 2 months ago
by
xen0kss
Reasoning parser error?
#5 opened 2 months ago
by
jeffbenson1979
Q3.5B27BC4.6OAB
#4 opened 2 months ago
by
gsting
使用VLLM启动会报错
#3 opened 3 months ago
by
SongXiaoMao
quantize
1
#2 opened 3 months ago
by
zinntikumugai
pls do a small model
1
#1 opened 3 months ago
by
shhhman