diff --git a/src/llama-model-loader.cpp b/src/llama-model-loader.cpp
index ded2bca3cc..9db3140647 100644
--- a/src/llama-model-loader.cpp
+++ b/src/llama-model-loader.cpp
@@ -1282,7 +1282,7 @@ struct ggml_tensor * llama_model_loader::create_tensor(
         return NULL;
     }
 
-    if ((flags & TENSOR_GET_ROW_LAZY) && use_mmap && tensor_read_lazy != LLAMA_TENSOR_READ_LAZY_OFF) {
+    if ((flags & TENSOR_READ_LAZY) && use_mmap && tensor_read_lazy != LLAMA_TENSOR_READ_LAZY_OFF) {
         // in auto mode, small tensors are cheap enough to keep resident
         constexpr size_t auto_lazy_min_size = 4ull * 1024 * 1024 * 1024;
         if (tensor_read_lazy == LLAMA_TENSOR_READ_LAZY_ON || ggml_nbytes(cur) > auto_lazy_min_size) {
diff --git a/src/llama-model-loader.h b/src/llama-model-loader.h
index 5b78ece484..9898d7f621 100644
--- a/src/llama-model-loader.h
+++ b/src/llama-model-loader.h
@@ -68,7 +68,7 @@ struct llama_model_loader {
     static const int TENSOR_SKIP            = 1 << 2;
     static const int TENSOR_SKIP_IF_VIRTUAL = 1 << 3;
     static const int TENSOR_ALLOW_RESHAPE   = 1 << 4;
-    static const int TENSOR_GET_ROW_LAZY    = 1 << 5; // read rows on demand instead of loading whole tensor; requires mmap for now
+    static const int TENSOR_READ_LAZY       = 1 << 5; // read rows on demand instead of loading whole tensor; requires mmap for now
 
     int n_kv      = 0;
     int n_tensors = 0;
@@ -92,7 +92,7 @@ struct llama_model_loader {
 
     llama_mmaps mappings;
 
-    // byte ranges of TENSOR_GET_ROW_LAZY tensors, per file index
+    // byte ranges of TENSOR_READ_LAZY tensors, per file index
     std::map<uint32_t, std::vector<std::pair<size_t, size_t>>> lazy_tensor_ranges;
 
     std::map<std::string, llama_tensor_weight, weight_name_comparer> weights_map;
diff --git a/src/llama-model.cpp b/src/llama-model.cpp
index 578b44cea6..ad50093e41 100644
--- a/src/llama-model.cpp
+++ b/src/llama-model.cpp
@@ -3069,7 +3069,7 @@ llama_model_base::llama_model_base(const struct llama_model_params & params) : l
     TENSOR_SKIP           (llama_model_loader::TENSOR_SKIP),
     TENSOR_SKIP_IF_VIRTUAL(llama_model_loader::TENSOR_SKIP_IF_VIRTUAL),
     TENSOR_ALLOW_RESHAPE  (llama_model_loader::TENSOR_ALLOW_RESHAPE),
-    TENSOR_GET_ROW_LAZY   (llama_model_loader::TENSOR_GET_ROW_LAZY) {}
+    TENSOR_READ_LAZY      (llama_model_loader::TENSOR_READ_LAZY) {}
 
 ggml_tensor * llama_model_base::create_tensor(const LLM_TN_IMPL & tn, const std::initializer_list<int64_t> & ne, int flags) {
     GGML_ASSERT(ml != nullptr);
diff --git a/src/llama-model.h b/src/llama-model.h
index e8a7fce22d..25898ad4af 100644
--- a/src/llama-model.h
+++ b/src/llama-model.h
@@ -756,7 +756,7 @@ struct llama_model_base : public llama_model {
     const int TENSOR_SKIP;
     const int TENSOR_SKIP_IF_VIRTUAL;
     const int TENSOR_ALLOW_RESHAPE;
-    const int TENSOR_GET_ROW_LAZY;
+    const int TENSOR_READ_LAZY;
 
     explicit llama_model_base(const llama_model_params & params);
     virtual ~llama_model_base() = default;
diff --git a/src/models/gemma4.cpp b/src/models/gemma4.cpp
index 3d0e5d3235..aa518c6df5 100644
--- a/src/models/gemma4.cpp
+++ b/src/models/gemma4.cpp
@@ -50,7 +50,7 @@ void llama_model_gemma4::load_arch_tensors(llama_model_loader &) {
     tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);
 
     if (n_embd_per_layer > 0) {
-        per_layer_tok_embd   = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"),    {n_embd_per_layer * n_layer, n_vocab}, TENSOR_GET_ROW_LAZY);
+        per_layer_tok_embd   = create_tensor(tn(LLM_TENSOR_PER_LAYER_TOKEN_EMBD, "weight"),    {n_embd_per_layer * n_layer, n_vocab}, TENSOR_READ_LAZY);
         per_layer_model_proj = create_tensor(tn(LLM_TENSOR_PER_LAYER_MODEL_PROJ, "weight", 0), {n_embd, n_embd_per_layer * n_layer}, 0);
         per_layer_proj_norm  = create_tensor(tn(LLM_TENSOR_PER_LAYER_PROJ_NORM,  "weight", 0), {n_embd_per_layer}, 0);
     }