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cstr
/
multilingual-e5-base-GGUF

Feature Extraction
GGUF
multilingual
embeddings
ggml
text-embeddings
xlm-r
crispembed
Model card Files Files and versions
xet
Community

Instructions to use cstr/multilingual-e5-base-GGUF 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 cstr/multilingual-e5-base-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 cstr/multilingual-e5-base-GGUF:IQ4_XS
    # Run inference directly in the terminal:
    llama cli -hf cstr/multilingual-e5-base-GGUF:IQ4_XS
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf cstr/multilingual-e5-base-GGUF:IQ4_XS
    # Run inference directly in the terminal:
    llama cli -hf cstr/multilingual-e5-base-GGUF:IQ4_XS
    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 cstr/multilingual-e5-base-GGUF:IQ4_XS
    # Run inference directly in the terminal:
    ./llama-cli -hf cstr/multilingual-e5-base-GGUF:IQ4_XS
    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 cstr/multilingual-e5-base-GGUF:IQ4_XS
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf cstr/multilingual-e5-base-GGUF:IQ4_XS
    Use Docker
    docker model run hf.co/cstr/multilingual-e5-base-GGUF:IQ4_XS
  • LM Studio
  • Jan
  • Ollama

    How to use cstr/multilingual-e5-base-GGUF with Ollama:

    ollama run hf.co/cstr/multilingual-e5-base-GGUF:IQ4_XS
  • Unsloth Desktop
  • Docker Model Runner

    How to use cstr/multilingual-e5-base-GGUF with Docker Model Runner:

    docker model run hf.co/cstr/multilingual-e5-base-GGUF:IQ4_XS
  • Lemonade

    How to use cstr/multilingual-e5-base-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull cstr/multilingual-e5-base-GGUF:IQ4_XS
    Run and chat with the model
    lemonade run user.multilingual-e5-base-GGUF-IQ4_XS
    List all available models
    lemonade list
  • Atomic Chat
multilingual-e5-base-GGUF
2.19 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
cstr's picture
cstr
docs: add provenance / EU AI Act Art. 53 note
da42504 verified 30 days ago
  • .gitattributes
    1.92 kB
    importance matrix (calibration) 2 months ago
  • README.md
    3.71 kB
    docs: add provenance / EU AI Act Art. 53 note 30 days ago
  • multilingual-e5-base-imatrix-ab.txt
    423 Bytes
    A/B summary (cos vs gold) 2 months ago
  • multilingual-e5-base-iq4_xs.gguf
    257 MB
    xet
    iq4_xs +imatrix (cos_vs_f16=0.9855) 2 months ago
  • multilingual-e5-base-q4_k-imatrix.gguf
    259 MB
    xet
    q4_k +imatrix (cos_vs_f16=0.9726) 2 months ago
  • multilingual-e5-base-q4_k.gguf
    259 MB
    xet
    Ollama-compatible format (blk.N.* tensors) 4 months ago
  • multilingual-e5-base-q8_0.gguf
    302 MB
    xet
    Ollama-compatible format (blk.N.* tensors) 4 months ago
  • multilingual-e5-base.gguf
    1.12 GB
    xet
    Ollama-compatible format (blk.N.* tensors) 4 months ago
  • multilingual-e5-base.imatrix
    263 kB
    xet
    importance matrix (calibration) 2 months ago