memory

fs/ggml/ggml.go

@@ -430,7 +430,7 @@ func (f GGML) GraphSize(context, batch uint64, numParallel int, kvCacheType stri
 	}
 
 	switch f.KV().Architecture() {
-	case "llama":
+	case "llama", "llama4":
 		fullOffload = max(
 			4*batch*(1+4*embedding+context*(1+heads)),
 			4*batch*(embedding+vocab),
@@ -444,7 +444,7 @@ func (f GGML) GraphSize(context, batch uint64, numParallel int, kvCacheType stri
 
 		if ffnGateExpsWeight, ok := layers["blk.0"]["ffn_gate_exps.weight"]; ok {
 			// mixtral 8x22b
-			ff := uint64(f.KV()["llama.feed_forward_length"].(uint32))
+			ff := uint64(f.KV().Uint("feed_forward_length"))
 			partialOffload = max(
 				3*ffnGateExpsWeight.Size()+4*batch*(2*ff+headsKV+embedding+context+embeddingHeads*headsKV),
 				4*(context*batch*heads+context*embeddingHeads*headsKV+batch*1024+embeddingHeads*headsKV*batch),
@@ -640,6 +640,9 @@ func (llm GGML) VisionGraphSize() (weights, graphSize uint64) {
 		graphSize = 4 * (imageSize*imageSize*numChannels +
 			embeddingLength*patchSize +
 			numPatches*numPatches*headCount)
+	case "llama4":
+		// vision graph is computed independently in the same schedule
+		// and is negligible compared to the worst case text graph
 	}
 
 	return weights, graphSize