| # 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.): | |
| ```bash | |
| ./llama-embedding -m ./path/to/model --pooling mean --log-disable -p "Hello World!" 2>/dev/null | |
| ``` | |
| ### Windows: | |
| ```powershell | |
| llama-embedding.exe -m ./path/to/model --pooling mean --log-disable -p "Hello World!" 2>$null | |
| ``` | |
| The above command will output space-separated float values. | |
| ## extra parameters | |
| ### --embd-normalize $integer$ | |
| | $integer$ | description | formula | | |
| |-----------|---------------------|---------| | |
| | $-1$ | none | | |
| | $0$ | max absolute int16 | $\Large{{32760 * x_i} \over\max \lvert x_i\rvert}$ | |
| | $1$ | taxicab | $\Large{x_i \over\sum \lvert x_i\rvert}$ | |
| | $2$ | euclidean (default) | $\Large{x_i \over\sqrt{\sum x_i^2}}$ | |
| | $>2$ | p-norm | $\Large{x_i \over\sqrt[p]{\sum \lvert x_i\rvert^p}}$ | |
| ### --embd-output-format $'string'$ | |
| | $'string'$ | description | | | |
| |------------|------------------------------|--| | |
| | '' | same as before | (default) | |
| | 'array' | single embeddings | $[[x_1,...,x_n]]$ | |
| | | multiple embeddings | $[[x_1,...,x_n],[x_1,...,x_n],...,[x_1,...,x_n]]$ | |
| | 'json' | openai style | | |
| | 'json+' | add cosine similarity matrix | | |
| ### --embd-separator $"string"$ | |
| | $"string"$ | | | |
| |--------------|-| | |
| | "\n" | (default) | |
| | "<#embSep#>" | for exemple | |
| | "<#sep#>" | other exemple | |
| ## examples | |
| ### Unix-based systems (Linux, macOS, etc.): | |
| ```bash | |
| ./llama-embedding -p 'Castle<#sep#>Stronghold<#sep#>Dog<#sep#>Cat' --pooling mean --embd-separator '<#sep#>' --embd-normalize 2 --embd-output-format '' -m './path/to/model.gguf' --n-gpu-layers 99 --log-disable 2>/dev/null | |
| ``` | |
| ### Windows: | |
| ```powershell | |
| llama-embedding.exe -p 'Castle<#sep#>Stronghold<#sep#>Dog<#sep#>Cat' --pooling mean --embd-separator '<#sep#>' --embd-normalize 2 --embd-output-format '' -m './path/to/model.gguf' --n-gpu-layers 99 --log-disable 2>/dev/null | |
| ``` | |