model: default gemma 3 rope scale to 1.0, apply corrections based on layer counts (#13453)

model/models/gemma3/model_text.go

@@ -2,7 +2,6 @@ package gemma3
 
 import (
 	"math"
-	"slices"
 
 	"github.com/ollama/ollama/fs"
 	"github.com/ollama/ollama/kvcache"
@@ -13,11 +12,12 @@ import (
 )
 
 type TextConfig struct {
-	hiddenSize, numHeads, numKVHeads int
+	hiddenSize, contextLength, numHeads, numKVHeads int
 	attnKeyLen, attnValLen                          int
 	eps, ropeScale                                  float32
 	ropeLocalBase                                   float32
 	largeModelScaling                               bool
+	slidingWindow                                   uint32
 	slidingWindowPattern                            []bool
 	ropeBase                                        float32
 	ropeType                                        string
@@ -55,6 +55,9 @@ type TextModel struct {
 
 const (
 	gemmaGlobalCacheCount = 6
+	gemma1BLayerCount     = 26
+	gemma4BLayerCount     = 34
+	gemma12BLayerCount    = 48
 	gemma27BLayerCount    = 62
 )
 
@@ -70,6 +73,7 @@ func newTextModel(c fs.Config) *TextModel {
 		Layers: make([]TextLayer, numBlocks),
 		TextConfig: &TextConfig{
 			hiddenSize:           int(c.Uint("embedding_length")),
+			contextLength:        int(c.Uint("context_length")),
 			numHeads:             int(c.Uint("attention.head_count")),
 			numKVHeads:           int(c.Uint("attention.head_count_kv")),
 			attnKeyLen:           int(c.Uint("attention.key_length", 256)),
@@ -77,28 +81,32 @@ func newTextModel(c fs.Config) *TextModel {
 			eps:                  c.Float("attention.layer_norm_rms_epsilon", 1e-06),
 			ropeLocalBase:        c.Float("rope.local.freq_base", 10000.0),
 			ropeBase:             c.Float("rope.freq_base", 1000000.0),
+			slidingWindow:        c.Uint("attention.sliding_window"),
 			slidingWindowPattern: c.Bools("attention.sliding_window_pattern"),
 			ropeType:             c.String("rope.scaling.type"),
 			ropeOriginalContext:  int(c.Uint("rope.scaling.original_context_length")),
 			ropeExtrapolation:    c.Float("rope.scaling.extrapolation_factor", 1.0),
 			ropeBetaFast:         c.Float("rope.scaling.beta_fast", 64.0),
 			ropeBetaSlow:         c.Float("rope.scaling.beta_slow", 1.0),
-			ropeScale:            c.Float("rope.scaling.factor", 8.0),
+			ropeScale:            c.Float("rope.scaling.factor", 1.0),
 			finalLogitSoftcap:    c.Float("final_logit_softcapping", 0.0),
 		},
 	}
 
-	// Google's Gemma 3 release with sliding window attention does
-	// not use final logit softcapping, and so force it to 0.0
-	// The QAT weights for Gemma 3 also included an incorrect
-	// value for the rope scale, so we need to set it to 1.0 here.
-	// TODO (jmorganca): this should ideally be set to 0.0 in the
-	// model configuration instead of here, as future versions of
-	// models may include both sliding window attention and final
-	// logit softcapping.
-	if slices.Contains(m.TextConfig.slidingWindowPattern, true) {
+	// Apply corrections for older versions of the Gemma 3 models
+	// by looking at whether they use sliding window attention and
+	// based on their layer counts.
+	if m.TextConfig.slidingWindow < uint32(m.TextConfig.contextLength) {
+		switch numBlocks {
+		case gemma1BLayerCount:
+			// The 1B model has final logit softcapping set to 30.0
+			// but it should be 0.0
 			m.TextConfig.finalLogitSoftcap = 0.0
-		m.TextConfig.ropeScale = 1.0
+		case gemma4BLayerCount, gemma12BLayerCount, gemma27BLayerCount:
+			// The 4B, 12B, and 27B models have rope scale unset
+			// but it shuold be set to 8.0
+			m.TextConfig.ropeScale = 8.0
+		}
 	}
 
 	if numBlocks == gemma27BLayerCount {