Instructions to use huihui-ai/Huihui-GLM-4.6V-Flash-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use huihui-ai/Huihui-GLM-4.6V-Flash-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-GLM-4.6V-Flash-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-GLM-4.6V-Flash-abliterated")
model = AutoModelForMultimodalLM.from_pretrained("huihui-ai/Huihui-GLM-4.6V-Flash-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-GLM-4.6V-Flash-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-GLM-4.6V-Flash-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-GLM-4.6V-Flash-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-GLM-4.6V-Flash-abliterated

SGLang

How to use huihui-ai/Huihui-GLM-4.6V-Flash-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-GLM-4.6V-Flash-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-GLM-4.6V-Flash-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-GLM-4.6V-Flash-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-GLM-4.6V-Flash-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-GLM-4.6V-Flash-abliterated with Docker Model Runner:
```
docker model run hf.co/huihui-ai/Huihui-GLM-4.6V-Flash-abliterated
```

Can support using huihui-ai/Huihui-GLM-4.6V-Flash-abliterated in ollama?

by zhaoxiaozhao07 - opened Dec 26, 2025

Discussion

zhaoxiaozhao07

Dec 26, 2025

I hope that you can use huihui-ai/Huihui-GLM-4.6V-Flash-abliterated in Ollama. Thank you.

huihui-ai

Owner Dec 26, 2025

Ollama probably doesn’t support all the functionalities completely yet. We have tested it, and it crashes when trying to recognize images.

A0bd

Dec 26, 2025

can you help me in my dataset
A0bd/Forbidden_and_Obscure

huihui-ai

Owner Dec 26, 2025

You can send your dataset to us via email (support@huihui.ai), and we can give it a try.

zhaoxiaozhao07

Jan 1

I see that ollama is now partially supporting some weight models. Can I try using the current model again in ollama?
this is link: https://github.com/ollama/ollama/issues/13391#issuecomment-3703334248

zhaoxiaozhao07

Jan 1

•

edited Jan 1

Ollama probably doesn’t support all the functionalities completely yet. We have tested it, and it crashes when trying to recognize images.
I see that ollama is now partially supporting some weight models. Can I try using the current model again in ollama?
this is link: https://github.com/ollama/ollama/issues/13391#issuecomment-3703334248

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