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65d7f6d261
* Switching from docker compose to abstract form - should be easier to k8s later * Text loader util * Recreate templates
75 lines
2.1 KiB
Jsonnet
75 lines
2.1 KiB
Jsonnet
local base = import "base/base.jsonnet";
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local images = import "values/images.jsonnet";
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local url = import "values/url.jsonnet";
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local prompts = import "prompts/slm.jsonnet";
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{
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"ollama-model":: "gemma2:9b",
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"ollama-url":: "${OLLAMA_HOST}",
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"text-completion" +: {
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create:: function(engine)
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local container =
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engine.container("text-completion")
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.with_image(images.trustgraph)
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.with_command([
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"text-completion-ollama",
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"-p",
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url.pulsar,
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"-m",
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$["ollama-model"],
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"-r",
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$["ollama-url"],
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])
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.with_limits("0.5", "128M")
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.with_reservations("0.1", "128M");
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local containerSet = engine.containers(
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"text-completion", [ container ]
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);
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engine.resources([
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containerSet,
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])
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},
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"text-completion-rag" +: {
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create:: function(engine)
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local container =
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engine.container("text-completion-rag")
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.with_image(images.trustgraph)
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.with_command([
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"text-completion-ollama",
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"-p",
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url.pulsar,
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"-m",
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$["ollama-model"],
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"-r",
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$["ollama-url"],
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"-i",
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"non-persistent://tg/request/text-completion-rag",
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"-o",
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"non-persistent://tg/response/text-completion-rag-response",
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])
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.with_limits("0.5", "128M")
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.with_reservations("0.1", "128M");
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local containerSet = engine.containers(
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"text-completion-rag", [ container ]
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);
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engine.resources([
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containerSet,
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])
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}
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} + prompts
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