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ollama/runner
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Jesse Gross 94ab428e3f ggml: Seperate tensor load from backend creation 
Currently, when the backend is created, the tensors are loaded at the
same time, which is a slow operation. This separates them to be two
steps:
 - Create backend, including enumerating tensors and memory allocation
 - Loading tensor data

This allows more flexibility in managing model loading.
2025-05-19 09:54:22 -07:00
..
common Runner for Ollama engine 2025-02-13 17:09:26 -08:00
llamarunner ollamarunner: Base cached tokens on current prompt 2025-05-15 13:46:20 -07:00
ollamarunner ggml: Seperate tensor load from backend creation 2025-05-19 09:54:22 -07:00
README.md Runner for Ollama engine 2025-02-13 17:09:26 -08:00
runner.go Runner for Ollama engine 2025-02-13 17:09:26 -08:00

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