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DavidAU
/
gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored

Image-Text-to-Text
Transformers
Safetensors
English
gemma4
heretic
finetune
abliterated
uncensored
Mixture of Experts
mixture of experts
unsloth
pruned experts 90
all use cases
coder
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
romance
all genres
story
writing
vivid prosing
vivid writing
fiction
roleplaying
bfloat16
conversational
Model card Files Files and versions
xet
Community
4

Instructions to use DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored")
    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)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored")
    model = AutoModelForMultimodalLM.from_pretrained("DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored", 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=256)
    print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored",
    		"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/DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored
  • SGLang

    How to use DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored 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 "DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored" \
        --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": "DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored",
    		"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 "DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored" \
            --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": "DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored",
    		"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"
    						}
    					}
    				]
    			}
    		]
    	}'
  • Unsloth Desktop
  • Docker Model Runner

    How to use DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored with Docker Model Runner:

    docker model run hf.co/DavidAU/gemma-4-19B-A4B-it-INSTRUCT-Heretic-Uncensored
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Sometimes when you ask the model a question it just responds with narration / status report.

1
#3 opened 6 months ago by
Kendolph

I get things like: Let' me, I' me, donm't, I'im

1
#2 opened 6 months ago by
Kendolph

I can't make it follow the formatting instructions.

1
#1 opened 6 months ago by
Kendolph
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