How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XL# Run inference directly in the terminal:
llama cli -hf empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XLUse 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 empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XL# Run inference directly in the terminal:
./llama-cli -hf empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XLBuild 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 empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XL# Run inference directly in the terminal:
./build/bin/llama-cli -hf empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XLUse Docker
docker model run hf.co/empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XLQuick Links
EmbeddingGemma 2 GGUF (UD-Q4_K_XL)
embeddinggemma-2-UD-Q4_K_XL.gguf is an unmodified copy of the file from
unsloth/embeddinggemma-2-GGUF
at revision ba3888272494be64ed88c9eb536ddc61a1be73d5.
- Size: 175673856 bytes
- SHA-256:
ea905fd08e8061db77a0031cbb5096d459d7cfd2bdd0ad2ba66e483f16719493
The base model is Google's EmbeddingGemma 2, distributed under the Apache 2.0 license.
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Base model
google/embeddinggemma-2
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XL# Run inference directly in the terminal: llama cli -hf empyrealworks/EmbeddingGemma-2-GGUF:UD-Q4_K_XL