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ai-babai
/
giga-embeddings-0826-480m-gguf

Sentence Similarity
GGUF
sentence-transformers
Russian
English
feature-extraction
embeddings
text-embeddings
russian-text-embeddings
semantic-search
rag
russian
local-ai
llama-cpp
ollama
quantized
q8
q6
q4
Model card Files Files and versions
xet
Community
1

Instructions to use ai-babai/giga-embeddings-0826-480m-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ai-babai/giga-embeddings-0826-480m-gguf with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ai-babai/giga-embeddings-0826-480m-gguf")
    
    sentences = [
        "Это счастливый человек",
        "Это счастливая собака",
        "Это очень счастливый человек",
        "Сегодня солнечный день"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use ai-babai/giga-embeddings-0826-480m-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 ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf ai-babai/giga-embeddings-0826-480m-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 ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf ai-babai/giga-embeddings-0826-480m-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 ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf ai-babai/giga-embeddings-0826-480m-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 ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
    Use Docker
    docker model run hf.co/ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use ai-babai/giga-embeddings-0826-480m-gguf with Ollama:

    ollama run hf.co/ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use ai-babai/giga-embeddings-0826-480m-gguf with Docker Model Runner:

    docker model run hf.co/ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
  • Lemonade

    How to use ai-babai/giga-embeddings-0826-480m-gguf with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull ai-babai/giga-embeddings-0826-480m-gguf:Q4_K_M
    Run and chat with the model
    lemonade run user.giga-embeddings-0826-480m-gguf-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

LM Studio не видит Giga Embeddings как embedding модель.

#1 opened 6 days ago by
TreeLoys
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