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# Conflicts: # .github/labeler.yml # .github/workflows/server.yml # .gitignore # CMakeLists.txt # Makefile # README-sycl.md # README.md # llama.cpp # requirements/requirements-convert-hf-to-gguf-update.txt # requirements/requirements-convert-hf-to-gguf.txt # requirements/requirements-convert-legacy-llama.txt # scripts/sync-ggml.last # tests/test-tokenizer-random.py |
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embedding.cpp | ||
README.md |
llama.cpp/example/embedding
This example demonstrates generate high-dimensional embedding vector of a given text with llama.cpp.
Quick Start
To get started right away, run the following command, making sure to use the correct path for the model you have:
Unix-based systems (Linux, macOS, etc.):
./llama-embedding -m ./path/to/model --log-disable -p "Hello World!" 2>/dev/null
Windows:
llama-embedding.exe -m ./path/to/model --log-disable -p "Hello World!" 2>$null
The above command will output space-separated float values.