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5d347f6d6f
Currently, checking the length of prompts for embeddings to ensure they fit in the context window (and possible truncation) occurs in two places - the Ollama server and runner. This can lead to inconsistencies in both the checks and reported number of tokens processed. Since we have to do this processing in the runner, this consolidates all of the logic there.
runner
Note: this is a work in progress
A minimial runner for loading a model and running inference via a http web server.
./runner -model <model binary>
Completion
curl -X POST -H "Content-Type: application/json" -d '{"prompt": "hi"}' http://localhost:8080/completion
Embeddings
curl -X POST -H "Content-Type: application/json" -d '{"prompt": "turn me into an embedding"}' http://localhost:8080/embedding