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Duplicated from  llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-GGUF

perfectlydark
/
gemma-4-Ortenzya-The-Creative-Wordsmith-selected

Image-Text-to-Text
Transformers
GGUF
English
Japanese
text-generation-inference
unsloth
gemma4
heretic
uncensored
decensored
abliterated
ara
creative writing
translation
visual novels
finetune
roleplay
rp
conversational
Model card Files Files and versions
xet
Community

Instructions to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected")
    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 AutoModel
    model = AutoModel.from_pretrained("perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Use pre-built binary
    # Download pre-built binary from:
    # https://github.com/ggerganov/llama.cpp/releases
    # Start a local OpenAI-compatible server with a web UI:
    ./llama-server -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Build from source code
    git clone https://github.com/ggerganov/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-server llama-cli
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama-server -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Use Docker
    docker model run hf.co/perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
  • LM Studio
  • Jan
  • vLLM

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected",
    		"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/perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
  • SGLang

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected 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 "perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected" \
        --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": "perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected",
    		"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 "perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected" \
            --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": "perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected",
    		"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"
    						}
    					}
    				]
    			}
    		]
    	}'
  • Ollama

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with Ollama:

    ollama run hf.co/perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
  • Unsloth Studio

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected to start chatting
  • Pi

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Configure the model in Pi
    # Install Pi:
    npm install -g @mariozechner/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "llama-cpp": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Hermes Agent new

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Configure Hermes
    # Install Hermes:
    curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
    hermes setup
    # Point Hermes at the local server:
    hermes config set model.provider custom
    hermes config set model.base_url http://127.0.0.1:8080/v1
    hermes config set model.default perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Run Hermes
    hermes
  • Atomic Chat new
  • OpenClaw new

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Configure OpenClaw
    # Install OpenClaw:
    npm install -g openclaw@latest
    # Register the local server and set it as the default model:
    openclaw onboard --non-interactive --mode local \
      --auth-choice custom-api-key \
      --custom-base-url http://127.0.0.1:8080/v1 \
      --custom-model-id "perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0" \
      --custom-provider-id llama-cpp \
      --custom-compatibility openai \
      --custom-text-input \
      --accept-risk \
      --skip-health
    Run OpenClaw
    openclaw agent --local --agent main --message "Hello from Hugging Face"
  • Docker Model Runner

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with Docker Model Runner:

    docker model run hf.co/perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
  • Lemonade

    How to use perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull perfectlydark/gemma-4-Ortenzya-The-Creative-Wordsmith-selected:Q8_0
    Run and chat with the model
    lemonade run user.gemma-4-Ortenzya-The-Creative-Wordsmith-selected-Q8_0
    List all available models
    lemonade list
gemma-4-Ortenzya-The-Creative-Wordsmith-selected
32.8 GB
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  • 2 contributors
History: 10 commits
perfectlydark's picture
perfectlydark
Delete gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-mmproj-BF16.gguf
e9becbb verified 2 months ago
  • .gitattributes
    2.71 kB
    Duplicate from llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-GGUF 2 months ago
  • README.md
    33.5 kB
    Duplicate from llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-GGUF 2 months ago
  • gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-Q8_0.gguf
    32.6 GB
    xet
    Duplicate from llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-GGUF 2 months ago
  • ortenzya.webp
    161 MB
    xet
    Duplicate from llmfan46/gemma-4-Ortenzya-The-Creative-Wordsmith-31B-it-uncensored-heretic-GGUF 2 months ago