Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

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 Studio

    How to use cstr/multilingual-e5-base-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 cstr/multilingual-e5-base-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 cstr/multilingual-e5-base-GGUF to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for cstr/multilingual-e5-base-GGUF to start chatting
  • Atomic Chat new
  • 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
multilingual-e5-base-GGUF
2.19 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
cstr's picture
cstr
importance matrix (calibration)
10c5bc5 verified about 1 month ago
  • .gitattributes
    1.92 kB
    importance matrix (calibration) about 1 month ago
  • README.md
    2.61 kB
    Add model card for multilingual-e5-base GGUF 4 months ago
  • multilingual-e5-base-imatrix-ab.txt
    423 Bytes
    A/B summary (cos vs gold) about 1 month ago
  • multilingual-e5-base-iq4_xs.gguf
    257 MB
    xet
    iq4_xs +imatrix (cos_vs_f16=0.9855) about 1 month ago
  • multilingual-e5-base-q4_k-imatrix.gguf
    259 MB
    xet
    q4_k +imatrix (cos_vs_f16=0.9726) about 1 month ago
  • multilingual-e5-base-q4_k.gguf
    259 MB
    xet
    Ollama-compatible format (blk.N.* tensors) 3 months ago
  • multilingual-e5-base-q8_0.gguf
    302 MB
    xet
    Ollama-compatible format (blk.N.* tensors) 3 months ago
  • multilingual-e5-base.gguf
    1.12 GB
    xet
    Ollama-compatible format (blk.N.* tensors) 3 months ago
  • multilingual-e5-base.imatrix
    263 kB
    xet
    importance matrix (calibration) about 1 month ago