ollama/integration/quantization_test.go
Daniel Hiltgen 424810450f
Move quantization to new backend (#10363)
* Move quantization logic to GGML via new backend

This moves the model aware logic to Go code and calls GGMLs quantization code for model creation.

* Remove "add model quantizations"

This is no longer needed now that quantization is implemented in Go+GGML code directly.
2025-05-06 11:20:48 -07:00

130 lines
3.4 KiB
Go

//go:build integration && models
package integration
import (
"bytes"
"context"
"fmt"
"log/slog"
"strings"
"testing"
"time"
"github.com/ollama/ollama/api"
)
func TestQuantization(t *testing.T) {
sourceModels := []string{
"qwen2.5:0.5b-instruct-fp16",
}
quantizations := []string{
"Q8_0",
"Q4_K_S",
"Q4_K_M",
"Q4_K",
}
softTimeout, hardTimeout := getTimeouts(t)
started := time.Now()
slog.Info("Setting timeouts", "soft", softTimeout, "hard", hardTimeout)
ctx, cancel := context.WithTimeout(context.Background(), hardTimeout)
defer cancel()
client, _, cleanup := InitServerConnection(ctx, t)
defer cleanup()
for _, base := range sourceModels {
if err := PullIfMissing(ctx, client, base); err != nil {
t.Fatalf("pull failed %s", err)
}
for _, quant := range quantizations {
newName := fmt.Sprintf("%s__%s", base, quant)
t.Run(newName, func(t *testing.T) {
if time.Now().Sub(started) > softTimeout {
t.Skip("skipping remaining tests to avoid excessive runtime")
}
req := &api.CreateRequest{
Model: newName,
Quantization: quant,
From: base,
}
fn := func(resp api.ProgressResponse) error {
// fmt.Print(".")
return nil
}
t.Logf("quantizing: %s -> %s", base, quant)
if err := client.Create(ctx, req, fn); err != nil {
t.Fatalf("create failed %s", err)
}
defer func() {
req := &api.DeleteRequest{
Model: newName,
}
t.Logf("deleting: %s -> %s", base, quant)
if err := client.Delete(ctx, req); err != nil {
t.Logf("failed to clean up %s: %s", req.Model, err)
}
}()
// Check metadata on the model
resp, err := client.Show(ctx, &api.ShowRequest{Name: newName})
if err != nil {
t.Fatalf("unable to show model: %s", err)
}
if !strings.Contains(resp.Details.QuantizationLevel, quant) {
t.Fatalf("unexpected quantization for %s:\ngot: %s", newName, resp.Details.QuantizationLevel)
}
stream := true
genReq := api.GenerateRequest{
Model: newName,
Prompt: "why is the sky blue?",
KeepAlive: &api.Duration{Duration: 3 * time.Second},
Options: map[string]any{
"seed": 42,
"temperature": 0.0,
},
Stream: &stream,
}
t.Logf("verifying: %s -> %s", base, quant)
// Some smaller quantizations can cause models to have poor quality
// or get stuck in repetition loops, so we stop as soon as we have any matches
anyResp := []string{"rayleigh", "scattering", "day", "sun", "moon", "color", "nitrogen", "oxygen"}
reqCtx, reqCancel := context.WithCancel(ctx)
atLeastOne := false
var buf bytes.Buffer
genfn := func(response api.GenerateResponse) error {
buf.Write([]byte(response.Response))
fullResp := strings.ToLower(buf.String())
for _, resp := range anyResp {
if strings.Contains(fullResp, resp) {
atLeastOne = true
t.Log(fullResp)
reqCancel()
break
}
}
return nil
}
done := make(chan int)
var genErr error
go func() {
genErr = client.Generate(reqCtx, &genReq, genfn)
done <- 0
}()
select {
case <-done:
if genErr != nil && !atLeastOne {
t.Fatalf("failed with %s request prompt %s ", genReq.Model, genReq.Prompt)
}
case <-ctx.Done():
t.Error("outer test context done while waiting for generate")
}
t.Logf("passed")
})
}
}
}