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JurinAI
/
JJ-1-2B

Image-Text-to-Text
Transformers
Safetensors
GGUF
Japanese
English
qwen3_5
typed-decisions
classification
conversational
Model card Files Files and versions
xet
Community

Instructions to use JurinAI/JJ-1-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JurinAI/JJ-1-2B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-text-to-text", model="JurinAI/JJ-1-2B")
    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("JurinAI/JJ-1-2B")
    model = AutoModelForMultimodalLM.from_pretrained("JurinAI/JJ-1-2B", 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
  • llama.cpp

    How to use JurinAI/JJ-1-2B 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 JurinAI/JJ-1-2B:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf JurinAI/JJ-1-2B:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf JurinAI/JJ-1-2B:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf JurinAI/JJ-1-2B:Q8_0
    Build from source code
    git clone https://github.com/ggml-org/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-app
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama serve -hf JurinAI/JJ-1-2B:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf JurinAI/JJ-1-2B:Q8_0
    Use Docker
    docker model run hf.co/JurinAI/JJ-1-2B:Q8_0
  • Llama new
  • LM Studio
  • Jan
  • vLLM

    How to use JurinAI/JJ-1-2B with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "JurinAI/JJ-1-2B"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "JurinAI/JJ-1-2B",
    		"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/JurinAI/JJ-1-2B:Q8_0
  • SGLang

    How to use JurinAI/JJ-1-2B 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 "JurinAI/JJ-1-2B" \
        --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": "JurinAI/JJ-1-2B",
    		"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 "JurinAI/JJ-1-2B" \
            --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": "JurinAI/JJ-1-2B",
    		"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 JurinAI/JJ-1-2B with Ollama:

    ollama run hf.co/JurinAI/JJ-1-2B:Q8_0
  • Unsloth Desktop
  • Pi

    How to use JurinAI/JJ-1-2B with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf JurinAI/JJ-1-2B:Q8_0
    Configure the model in Pi
    # Install Pi:
    npm install -g @earendil-works/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "llama-cpp": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "JurinAI/JJ-1-2B:Q8_0"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use JurinAI/JJ-1-2B with Docker Model Runner:

    docker model run hf.co/JurinAI/JJ-1-2B:Q8_0
  • Lemonade

    How to use JurinAI/JJ-1-2B with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull JurinAI/JJ-1-2B:Q8_0
    Run and chat with the model
    lemonade run user.JJ-1-2B-Q8_0
    List all available models
    lemonade list
  • Hermes Agent

    How to use JurinAI/JJ-1-2B with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf JurinAI/JJ-1-2B: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 JurinAI/JJ-1-2B:Q8_0
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use JurinAI/JJ-1-2B with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf JurinAI/JJ-1-2B: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 "JurinAI/JJ-1-2B: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"
JJ-1-2B
6.46 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
LewisLuo's picture
LewisLuo
Link English and Japanese JJ-1 articles
923e972 verified 20 days ago
  • examples
    Add model weights and inference 20 days ago
  • jj1
    Add model weights and inference 20 days ago
  • .gitattributes
    144 Bytes
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  • .gitignore
    73 Bytes
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  • JJ-1-2B-Q8_0.gguf
    2.01 GB
    xet
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  • LICENSE
    19.3 kB
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  • LICENSE-CODE
    11.4 kB
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  • NOTICE
    12.9 kB
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  • README.ja.md
    5.74 kB
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  • README.md
    5.36 kB
    Link English and Japanese JJ-1 articles 20 days ago
  • chat_template.jinja
    7.76 kB
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  • config.json
    2.62 kB
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  • decision_config.json
    464 Bytes
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  • example.py
    1.76 kB
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  • model.safetensors
    4.43 GB
    xet
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  • pyproject.toml
    681 Bytes
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  • tokenizer.json
    20 MB
    xet
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  • tokenizer_config.json
    1.12 kB
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