diff --git a/convert/convert_qwen25vl.go b/convert/convert_qwen25vl.go
index 2a1df0acd..3237ab78e 100644
--- a/convert/convert_qwen25vl.go
+++ b/convert/convert_qwen25vl.go
@@ -56,8 +56,8 @@ func (q *qwen25VLModel) KV(t *Tokenizer) ggml.KV {
 	return kv
 }
 
-func (q *qwen25VLModel) Tensors(ts []Tensor) []ggml.Tensor {
-	var out []ggml.Tensor
+func (q *qwen25VLModel) Tensors(ts []Tensor) []*ggml.Tensor {
+	var out []*ggml.Tensor
 
 	for _, t := range ts {
 		if strings.Contains(t.Name(), "patch_embed.proj") {
@@ -75,7 +75,7 @@ func (q *qwen25VLModel) Tensors(ts []Tensor) []ggml.Tensor {
 				strings.NewReplacer("attn.qkv", "attn_v"),
 			))...)
 		} else {
-			out = append(out, ggml.Tensor{
+			out = append(out, &ggml.Tensor{
 				Name:     t.Name(),
 				Kind:     t.Kind(),
 				Shape:    t.Shape(),
diff --git a/convert/tensor.go b/convert/tensor.go
index 258ffe1dd..ffb22ead9 100644
--- a/convert/tensor.go
+++ b/convert/tensor.go
@@ -12,8 +12,8 @@ import (
 
 // splitDim splits a tensor along a specified dimension into multiple tensors. The dimension
 // is split evenly based on the number of replacers provided.
-func splitDim(t Tensor, dim int, replacers ...*strings.Replacer) iter.Seq[ggml.Tensor] {
-	return func(yield func(ggml.Tensor) bool) {
+func splitDim(t Tensor, dim int, replacers ...*strings.Replacer) iter.Seq[*ggml.Tensor] {
+	return func(yield func(*ggml.Tensor) bool) {
 		for i, replacer := range replacers {
 			shape := slices.Clone(t.Shape())
 			shape[dim] = shape[dim] / uint64(len(replacers))
@@ -43,7 +43,7 @@ func splitDim(t Tensor, dim int, replacers ...*strings.Replacer) iter.Seq[ggml.T
 				return native.VectorF32(t.(*tensor.Dense))
 			})
 
-			if !yield(ggml.Tensor{
+			if !yield(&ggml.Tensor{
 				Name:     replacer.Replace(t.Name()),
 				Kind:     t.Kind(),
 				Shape:    shape,