Instructions to use cstr/multilingual-e5-small-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-small-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-small-GGUF:IQ4_XS # Run inference directly in the terminal: llama cli -hf cstr/multilingual-e5-small-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-small-GGUF:IQ4_XS # Run inference directly in the terminal: llama cli -hf cstr/multilingual-e5-small-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-small-GGUF:IQ4_XS # Run inference directly in the terminal: ./llama-cli -hf cstr/multilingual-e5-small-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-small-GGUF:IQ4_XS # Run inference directly in the terminal: ./build/bin/llama-cli -hf cstr/multilingual-e5-small-GGUF:IQ4_XS
Use Docker
docker model run hf.co/cstr/multilingual-e5-small-GGUF:IQ4_XS
- LM Studio
- Jan
- Ollama
How to use cstr/multilingual-e5-small-GGUF with Ollama:
ollama run hf.co/cstr/multilingual-e5-small-GGUF:IQ4_XS
- Unsloth Desktop
- Docker Model Runner
How to use cstr/multilingual-e5-small-GGUF with Docker Model Runner:
docker model run hf.co/cstr/multilingual-e5-small-GGUF:IQ4_XS
- Lemonade
How to use cstr/multilingual-e5-small-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull cstr/multilingual-e5-small-GGUF:IQ4_XS
Run and chat with the model
lemonade run user.multilingual-e5-small-GGUF-IQ4_XS
List all available models
lemonade list
- Atomic Chat
A/B summary (cos vs gold)
Browse files
multilingual-e5-small-imatrix-ab.txt
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imatrix A/B — multilingual-e5-small (cstr/multilingual-e5-small-GGUF), cos vs full-precision gold, n=5, calib=10
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q8_0 imatrix=0 cos_vs_f16=0.999850 131.6MB -> (A/B only)
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q4_k imatrix=0 cos_vs_f16=0.988593 121.0MB -> (A/B only)
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q4_k imatrix=1 cos_vs_f16=0.989721 121.0MB -> multilingual-e5-small-q4_k-imatrix.gguf
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iq4_xs imatrix=1 cos_vs_f16=0.992258 120.8MB -> multilingual-e5-small-iq4_xs.gguf
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