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MOGODIK
/
ssiat-1.0

Text Generation
Safetensors
GGUF
Korean
llama
korean
korean-only
from-scratch
base-model
conversational
character-chat
causal-lm
small-language-model
edge-ai
on-device
Model card Files Files and versions
xet
Community

Instructions to use MOGODIK/ssiat-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use MOGODIK/ssiat-1.0 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 MOGODIK/ssiat-1.0
    # Run inference directly in the terminal:
    llama cli -hf MOGODIK/ssiat-1.0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf MOGODIK/ssiat-1.0
    # Run inference directly in the terminal:
    llama cli -hf MOGODIK/ssiat-1.0
    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 MOGODIK/ssiat-1.0
    # Run inference directly in the terminal:
    ./llama-cli -hf MOGODIK/ssiat-1.0
    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 MOGODIK/ssiat-1.0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf MOGODIK/ssiat-1.0
    Use Docker
    docker model run hf.co/MOGODIK/ssiat-1.0
  • Llama new
  • LM Studio
  • Jan
  • vLLM

    How to use MOGODIK/ssiat-1.0 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "MOGODIK/ssiat-1.0"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "MOGODIK/ssiat-1.0",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/MOGODIK/ssiat-1.0
  • Ollama

    How to use MOGODIK/ssiat-1.0 with Ollama:

    ollama run hf.co/MOGODIK/ssiat-1.0
  • Unsloth Desktop
  • Docker Model Runner

    How to use MOGODIK/ssiat-1.0 with Docker Model Runner:

    docker model run hf.co/MOGODIK/ssiat-1.0
  • Lemonade

    How to use MOGODIK/ssiat-1.0 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull MOGODIK/ssiat-1.0
    Run and chat with the model
    lemonade run user.ssiat-1.0-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
ssiat-1.0
4.61 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 30 commits
GODIkCOZZ's picture
GODIkCOZZ
Update README.md
82b8af7 verified about 1 month ago
  • examples
    Fix eos_token_id bug; regenerate GGUF about 1 month ago
  • .gitattributes
    1.71 kB
    Add example character (ssiat-self, 60 examples) demonstrating small-dataset identity injection about 2 months ago
  • README.md
    5.65 kB
    Update README.md about 1 month ago
  • config.json
    723 Bytes
    Fix eos_token_id: 0 -> 2 (<|im_end|>). Without this, generation never stops naturally at chat turn boundaries and runs on indefinitely. about 1 month ago
  • generation_config.json
    216 Bytes
    Fix eos_token_id: 0 -> 2 about 1 month ago
  • model.safetensors
    1.02 GB
    xet
    Add model weights and tokenizer files about 2 months ago
  • ssiat.gguf
    512 MB
    xet
    Regenerate GGUF with fixed eos_token_id metadata about 1 month ago
  • tokenizer.json
    4.43 MB
    Add model weights and tokenizer files about 2 months ago
  • tokenizer_config.json
    515 Bytes
    Fix eos_token string to match <|im_end|> about 1 month ago