feat(model): add qwen3vl (#12665)

server/routes.go

@@ -142,7 +142,10 @@ func (s *Server) scheduleRunner(ctx context.Context, name string, caps []model.C
 
 	// This model is much more capable with a larger context, so set that
 	// unless it would penalize performance too much
-	if !s.lowVRAM && slices.Contains([]string{"gptoss", "gpt-oss"}, model.Config.ModelFamily) {
+	if !s.lowVRAM && slices.Contains([]string{
+		"gptoss", "gpt-oss",
+		"qwen3vl", "qwen3vlmoe",
+	}, model.Config.ModelFamily) {
 		opts.NumCtx = max(opts.NumCtx, 8192)
 	}
 

server/sched.go

@@ -390,11 +390,11 @@ func (s *Scheduler) load(req *LlmRequest, f *ggml.GGML, systemInfo ml.SystemInfo
 		numParallel = 1
 	}
 
-	// `mllama` is a snowflake and uses an encoder cache which cannot be used with num_parallel > 1
+	// `mllama`, `qwen3vl`, and `qwen3vlmoe` are snowflakes and uses an encoder cache which cannot be used with num_parallel > 1
 	// ref: https://github.com/ollama/ollama/issues/4165
-	if slices.Contains(req.model.Config.ModelFamilies, "mllama") && numParallel != 1 {
+	if slices.Contains([]string{"mllama", "qwen3vl", "qwen3vlmoe"}, req.model.Config.ModelFamily) && numParallel != 1 {
 		numParallel = 1
-		slog.Warn("mllama does not currently support parallel requests")
+		slog.Warn("model architecture does not currently support parallel requests", "architecture", req.model.Config.ModelFamily)
 	}
 
 	sessionDuration := envconfig.KeepAlive()