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5 mēneši atpakaļ | |
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README.md | 96efd9052f Re-introduce the `llama` package (#5034) | 6 mēneši atpakaļ |
cache.go | 65973ceb64 runner.go: Make KV entry accounting more robust | 5 mēneši atpakaļ |
cache_test.go | c826e57475 runner.go: Better abstract vision model integration | 6 mēneši atpakaļ |
image.go | c2e8cbaa14 runner.go: Check for zero length images | 5 mēneši atpakaļ |
image_test.go | c826e57475 runner.go: Better abstract vision model integration | 6 mēneši atpakaļ |
requirements.go | 96efd9052f Re-introduce the `llama` package (#5034) | 6 mēneši atpakaļ |
runner.go | d875e99e46 runner.go: Propagate panics back to the user. | 5 mēneši atpakaļ |
stop.go | 0077e22d52 runner.go: Handle truncation of tokens for stop sequences | 6 mēneši atpakaļ |
stop_test.go | 0077e22d52 runner.go: Handle truncation of tokens for stop sequences | 6 mēneši atpakaļ |
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>
curl -X POST -H "Content-Type: application/json" -d '{"prompt": "hi"}' http://localhost:8080/completion
curl -X POST -H "Content-Type: application/json" -d '{"prompt": "turn me into an embedding"}' http://localhost:8080/embeddings