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Integration test improvements (#9654)
Add some new test coverage for various model architectures, and switch from orca-mini to the small llama model.
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parent
56dc316a57
commit
ed4e139314
9 changed files with 709 additions and 67 deletions
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@ -24,9 +24,14 @@ import (
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"github.com/ollama/ollama/api"
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"github.com/ollama/ollama/app/lifecycle"
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"github.com/ollama/ollama/format"
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"github.com/stretchr/testify/require"
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)
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const (
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smol = "llama3.2:1b"
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)
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func Init() {
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lifecycle.InitLogging()
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}
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@ -140,7 +145,7 @@ func PullIfMissing(ctx context.Context, client *api.Client, modelName string) er
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showCtx, cancel := context.WithDeadlineCause(
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ctx,
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time.Now().Add(10*time.Second),
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time.Now().Add(20*time.Second),
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fmt.Errorf("show for existing model %s took too long", modelName),
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)
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defer cancel()
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@ -157,7 +162,7 @@ func PullIfMissing(ctx context.Context, client *api.Client, modelName string) er
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}
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slog.Info("model missing", "model", modelName)
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stallDuration := 30 * time.Second // This includes checksum verification, which can take a while on larger models
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stallDuration := 60 * time.Second // This includes checksum verification, which can take a while on larger models, and slower systems
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stallTimer := time.NewTimer(stallDuration)
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fn := func(resp api.ProgressResponse) error {
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// fmt.Print(".")
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@ -283,11 +288,11 @@ func DoGenerate(ctx context.Context, t *testing.T, client *api.Client, genReq ap
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}
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// Generate a set of requests
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// By default each request uses orca-mini as the model
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// By default each request uses llama3.2 as the model
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func GenerateRequests() ([]api.GenerateRequest, [][]string) {
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return []api.GenerateRequest{
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{
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Model: "orca-mini",
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Model: smol,
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Prompt: "why is the ocean blue?",
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Stream: &stream,
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KeepAlive: &api.Duration{Duration: 10 * time.Second},
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@ -296,7 +301,7 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
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"temperature": 0.0,
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},
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}, {
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Model: "orca-mini",
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Model: smol,
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Prompt: "why is the color of dirt brown?",
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Stream: &stream,
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KeepAlive: &api.Duration{Duration: 10 * time.Second},
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@ -305,7 +310,7 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
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"temperature": 0.0,
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},
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}, {
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Model: "orca-mini",
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Model: smol,
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Prompt: "what is the origin of the us thanksgiving holiday?",
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Stream: &stream,
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KeepAlive: &api.Duration{Duration: 10 * time.Second},
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@ -314,7 +319,7 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
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"temperature": 0.0,
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},
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}, {
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Model: "orca-mini",
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Model: smol,
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Prompt: "what is the origin of independence day?",
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Stream: &stream,
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KeepAlive: &api.Duration{Duration: 10 * time.Second},
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@ -323,7 +328,7 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
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"temperature": 0.0,
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},
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}, {
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Model: "orca-mini",
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Model: smol,
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Prompt: "what is the composition of air?",
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Stream: &stream,
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KeepAlive: &api.Duration{Duration: 10 * time.Second},
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@ -341,3 +346,15 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
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{"nitrogen", "oxygen", "carbon", "dioxide"},
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}
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}
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func skipUnderMinVRAM(t *testing.T, gb uint64) {
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// TODO use info API in the future
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if s := os.Getenv("OLLAMA_MAX_VRAM"); s != "" {
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maxVram, err := strconv.ParseUint(s, 10, 64)
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require.NoError(t, err)
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// Don't hammer on small VRAM cards...
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if maxVram < gb*format.GibiByte {
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t.Skip("skipping with small VRAM to avoid timeouts")
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}
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}
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}
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