If a user hasn't explicitly either enabled or disabled flash attention, automatically enable flash attention if the model supports it and it would not trigger a fallback to CPU. This supports text, vision and embedding models as well as automatic handling of KV cache quantization (which requires flash attention). If a model does not call the fast fused attention operation, this is detected and disables any operations that depend on it. |
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| .. | ||
| common | ||
| llamarunner | ||
| ollamarunner | ||
| README.md | ||
| runner.go | ||
README.md
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