mirror of
https://github.com/ollama/ollama.git
synced 2025-03-20 14:52:59 +01:00
bf24498b1e
Models can specify that a group of inputs need to be handled a single batch. However, context shifting didn't respect this and could trigger a break anyways. In this case, we should instead trigger a context shift earlier so that it occurs before the grouped batch. Note that there still some corner cases: - A long prompt that exceeds the context window can get truncated in the middle of an image. With the current models, this will result in the model not recognizing the image at all, which is pretty much the expected result with truncation. - The context window is set less than the minimum batch size. The only solution to this is to refuse to load the model with these settings. However, this can never occur with current models and default settings. Since users are unlikely to run into these scenarios, fixing them is left as a follow up.
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