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mykor
/
PIXIE-Rune-v1.5-GGUF

Feature Extraction
sentence-transformers
GGUF
sentence-similarity
dense-encoder
dense
retrieval
multimodal
multi-modal
crossmodal
cross-modal
aerospace
telepix
Model card Files Files and versions
xet
Community

Instructions to use mykor/PIXIE-Rune-v1.5-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use mykor/PIXIE-Rune-v1.5-GGUF with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("mykor/PIXIE-Rune-v1.5-GGUF")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use mykor/PIXIE-Rune-v1.5-GGUF 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 mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf mykor/PIXIE-Rune-v1.5-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 mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf mykor/PIXIE-Rune-v1.5-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 mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
    Use Docker
    docker model run hf.co/mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use mykor/PIXIE-Rune-v1.5-GGUF with Ollama:

    ollama run hf.co/mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use mykor/PIXIE-Rune-v1.5-GGUF with Docker Model Runner:

    docker model run hf.co/mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
  • Lemonade

    How to use mykor/PIXIE-Rune-v1.5-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
    Run and chat with the model
    lemonade run user.PIXIE-Rune-v1.5-GGUF-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
PIXIE-Rune-v1.5-GGUF
7.05 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
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Bingsu
Upload folder using huggingface_hub
af57f5b verified about 18 hours ago
  • .gitattributes
    2.06 kB
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  • PIXIE-Rune-567M-v1.5-BF16.gguf
    1.16 GB
    xet
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  • PIXIE-Rune-567M-v1.5-F16.gguf
    1.16 GB
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  • PIXIE-Rune-567M-v1.5-F32.gguf
    2.27 GB
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  • PIXIE-Rune-567M-v1.5-Q3_K_L.gguf
    420 MB
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  • PIXIE-Rune-567M-v1.5-Q4_K_M.gguf
    438 MB
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  • PIXIE-Rune-567M-v1.5-Q5_K_M.gguf
    468 MB
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  • PIXIE-Rune-567M-v1.5-Q6_K.gguf
    499 MB
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  • PIXIE-Rune-567M-v1.5-Q8_0.gguf
    635 MB
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  • README.md
    1.5 kB
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