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llama.cpp/examples/embedding/README.md
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build: rename main → llama-cli, server → llama-server, llava-cli → llama-llava-cli, etc... (#7809) 
* `main`/`server`: rename to `llama` / `llama-server` for consistency w/ homebrew

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* Updating docs for eval-callback binary to use new `llama-` prefix.

* Updating a few lingering doc references for rename of main to llama-cli

* Updating `run-with-preset.py` to use new binary names.
Updating docs around `perplexity` binary rename.

* Updating documentation references for lookup-merge and export-lora

* Updating two small `main` references missed earlier in the finetune docs.

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This reverts commit e474ef1df4.

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Co-authored-by: HanClinto <hanclinto@gmail.com>
2024-06-13 00:41:52 +01:00

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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.