10000 cleanup: upgrade vllm version to v0.7.3 by nayihz · Pull Request #289 · InftyAI/llmaz · GitHub
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cleanup: upgrade vllm version to v0.7.3 #289

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Merged
merged 1 commit into from
Mar 6, 2025
Merged

cleanup: upgrade vllm version to v0.7.3 #289

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2 changes: 1 addition & 1 deletion chart/templates/backends/vllm.yaml
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Expand Up @@ -13,7 +13,7 @@ spec:
- -m
- vllm.entrypoints.openai.api_server
image: vllm/vllm-openai
version: v0.6.0
version: v0.7.3
# Do not edit the preset argument name unless you know what you're doing.
# Free to add more arguments with your requirements.
recommendedConfigs:
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2 changes: 1 addition & 1 deletion test/integration/webhook/backendruntime_test.go
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Expand Up @@ -88,7 +88,7 @@ var _ = ginkgo.Describe("BackendRuntime default and validation", func() {
ginkgo.Entry("BackendRuntime creation with no resources", &testValidatingCase{
creationFunc: func() *inferenceapi.BackendRuntime {
return wrapper.MakeBackendRuntime("vllm").
Image("vllm/vllm-openai").Version("v0.6.0").
Image("vllm/vllm-openai").Version(util.VllmImageVersion).
Command([]string{"python3", "-m", "vllm.entrypoints.openai.api_server"}).
Arg("default", []string{"--model", "{{.ModelPath}}", "--served-model-name", "{{.ModelName}}", "--host", "0.0.0.0", "--port", "8080"}).
Obj()
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2 changes: 2 additions & 0 deletions test/util/consts.go
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Expand Up @@ -23,4 +23,6 @@ const (
Interval = time.Millisecond * 250
E2ETimeout = 5 * time.Minute
E2EInterval = 1 * time.Second

VllmImageVersion = "v0.7.3"
)
2 changes: 1 addition & 1 deletion test/util/mock.go
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Expand Up @@ -54,7 +54,7 @@ func MockASampleService(ns string) *inferenceapi.Service {

func MockASampleBackendRuntime() *wrapper.BackendRuntimeWrapper {
return wrapper.MakeBackendRuntime("vllm").
Image("vllm/vllm-openai").Version("v0.6.0").
Image("vllm/vllm-openai").Version(VllmImageVersion).
Command([]string{"python3", "-m", "vllm.entrypoints.openai.api_server"}).
Arg("default", []string{"--model", "{{.ModelPath}}", "--served-model-name", "{{.ModelName}}", "--host", "0.0.0.0", "--port", "8080"}).
Request("default", "cpu", "4").Limit("default", "cpu", "4")
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