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gaianet
/
Seed-Coder-8B-Instruct-GGUF

GGUF
llama
conversational
Model card Files Files and versions
xet
Community
1

Instructions to use gaianet/Seed-Coder-8B-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use gaianet/Seed-Coder-8B-Instruct-GGUF with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="gaianet/Seed-Coder-8B-Instruct-GGUF",
    	filename="Seed-Coder-8B-Instruct-Q2_K.gguf",
    )
    
    llm.create_chat_completion(
    	messages = "No input example has been defined for this model task."
    )
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use gaianet/Seed-Coder-8B-Instruct-GGUF with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama-cli -hf gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama-cli -hf gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    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 gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    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 gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    Use Docker
    docker model run hf.co/gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use gaianet/Seed-Coder-8B-Instruct-GGUF with Ollama:

    ollama run hf.co/gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
  • Unsloth Studio new

    How to use gaianet/Seed-Coder-8B-Instruct-GGUF 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 gaianet/Seed-Coder-8B-Instruct-GGUF 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 gaianet/Seed-Coder-8B-Instruct-GGUF to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for gaianet/Seed-Coder-8B-Instruct-GGUF to start chatting
  • Docker Model Runner

    How to use gaianet/Seed-Coder-8B-Instruct-GGUF with Docker Model Runner:

    docker model run hf.co/gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
  • Lemonade

    How to use gaianet/Seed-Coder-8B-Instruct-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull gaianet/Seed-Coder-8B-Instruct-GGUF:Q4_K_M
    Run and chat with the model
    lemonade run user.Seed-Coder-8B-Instruct-GGUF-Q4_K_M
    List all available models
    lemonade list
Seed-Coder-8B-Instruct-GGUF
79.9 GB
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  • 1 contributor
History: 3 commits
apepkuss79's picture
apepkuss79
Update README.md
2ec3f60 verified 12 months ago
  • .gitattributes
    2.43 kB
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  • README.md
    626 Bytes
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  • Seed-Coder-8B-Instruct-Q2_K.gguf
    3.3 GB
    xet
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  • Seed-Coder-8B-Instruct-Q3_K_L.gguf
    4.46 GB
    xet
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  • Seed-Coder-8B-Instruct-Q3_K_M.gguf
    4.15 GB
    xet
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  • Seed-Coder-8B-Instruct-Q3_K_S.gguf
    3.8 GB
    xet
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  • Seed-Coder-8B-Instruct-Q4_0.gguf
    4.81 GB
    xet
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  • Seed-Coder-8B-Instruct-Q4_K_M.gguf
    5.07 GB
    xet
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  • Seed-Coder-8B-Instruct-Q4_K_S.gguf
    4.84 GB
    xet
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  • Seed-Coder-8B-Instruct-Q5_0.gguf
    5.76 GB
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  • Seed-Coder-8B-Instruct-Q5_K_M.gguf
    5.9 GB
    xet
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  • Seed-Coder-8B-Instruct-Q5_K_S.gguf
    5.76 GB
    xet
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  • Seed-Coder-8B-Instruct-Q6_K.gguf
    6.78 GB
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  • Seed-Coder-8B-Instruct-Q8_0.gguf
    8.77 GB
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  • Seed-Coder-8B-Instruct-f16.gguf
    16.5 GB
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  • config.json
    668 Bytes
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