Instructions to use llmfan46/Qwen3.6-35B-A3B-uncensored-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use llmfan46/Qwen3.6-35B-A3B-uncensored-heretic with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="llmfan46/Qwen3.6-35B-A3B-uncensored-heretic")
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("llmfan46/Qwen3.6-35B-A3B-uncensored-heretic")
model = AutoModelForMultimodalLM.from_pretrained("llmfan46/Qwen3.6-35B-A3B-uncensored-heretic", device_map="auto")
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 llmfan46/Qwen3.6-35B-A3B-uncensored-heretic with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "llmfan46/Qwen3.6-35B-A3B-uncensored-heretic"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "llmfan46/Qwen3.6-35B-A3B-uncensored-heretic",
		"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/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic

SGLang

How to use llmfan46/Qwen3.6-35B-A3B-uncensored-heretic 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 "llmfan46/Qwen3.6-35B-A3B-uncensored-heretic" \
    --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": "llmfan46/Qwen3.6-35B-A3B-uncensored-heretic",
		"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 "llmfan46/Qwen3.6-35B-A3B-uncensored-heretic" \
        --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": "llmfan46/Qwen3.6-35B-A3B-uncensored-heretic",
		"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 llmfan46/Qwen3.6-35B-A3B-uncensored-heretic with Docker Model Runner:
```
docker model run hf.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic
```

jinja template update

by SassyDiffusion - opened May 1

Discussion

SassyDiffusion

May 1

Hi, could you update the jinja template which fixes the tool calling loop issues with qwen3.6 models? Thanks!

https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates/blob/main/qwen3.6/chat_template.jinja

llmfan46

Owner May 1

Hi, could you update the jinja template which fixes the tool calling loop issues with qwen3.6 models? Thanks!

https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates/blob/main/qwen3.6/chat_template.jinja

Okay, how's that?

https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic/blob/main/chat_template.jinja

Let me know, thanks.

SassyDiffusion

May 1

Looks good to me, will test it. Thanks!

llmfan46

Owner May 1

Looks good to me, will test it. Thanks!

So any issues to report? Let me know. Thanks.

llmfan46

Owner May 1

I further fined-tuned the chat template with more fixes and improvements, please test:

https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic/tree/main

SassyDiffusion

May 1

Hi, could you update the jinja template which fixes the tool calling loop issues with qwen3.6 models? Thanks!

https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates/blob/main/qwen3.6/chat_template.jinja

Okay, how's that?

https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic/blob/main/chat_template.jinja

Let me know, thanks.

Tested this one. Works as expected, although I still observe looping behaviors. I will test the other one later.

SassyDiffusion

May 3

Tested the new one and it is working fine.

Feel free to close the issue!

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment