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When we later have a large batch running purely on a CPU, this results the error: GGML_ASSERT(talloc->buffer_id >= 0) Disabling this means that we will incrementally reallocate memory as the graph grows. Fixes #10410 |
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common | ||
llamarunner | ||
ollamarunner | ||
README.md | ||
runner.go |
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