Commit b49650adb for llama.cpp

commit b49650adb31f2e49a0d76113aeb1792134fd8413
Author: David Friehs <david@friehs.info>
Date:   Thu Sep 17 13:53:54 2026 +0200

    model : skip gate_up_exps if TENSOR_SKIP is set (#29014)

    required for qwen35moe if MTP tensors are fused but not loaded

diff --git a/src/llama-model.cpp b/src/llama-model.cpp
index 3607bacd6..de3b2e38f 100644
--- a/src/llama-model.cpp
+++ b/src/llama-model.cpp
@@ -3251,6 +3251,15 @@ ggml_tensor * llama_model_base::create_tensor(const LLM_TN_IMPL & tn, const std:
 }

 void llama_model_base::create_tensor_gate_up_exps(llama_layer & layer, int bid, int64_t n_embd_, int64_t n_ff_, int64_t n_expert_, int flags) {
+    if (flags & TENSOR_SKIP) {
+        const int skip = TENSOR_NOT_REQUIRED | TENSOR_SKIP;
+
+        create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", bid), {n_embd_, n_ff_ * 2, n_expert_}, skip | TENSOR_SKIP_IF_VIRTUAL);
+        create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS,    "weight", bid), {n_embd_, n_ff_,     n_expert_}, skip);
+        create_tensor(tn(LLM_TENSOR_FFN_UP_EXPS,      "weight", bid), {n_embd_, n_ff_,     n_expert_}, skip);
+        return;
+    }
+
     layer.ffn_gate_up_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_UP_EXPS, "weight", bid), {n_embd_, n_ff_ * 2, n_expert_}, TENSOR_NOT_REQUIRED);
     if (layer.ffn_gate_up_exps == nullptr) {
         layer.ffn_gate_exps = create_tensor(tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", bid), {n_embd_, n_ff_, n_expert_}, flags);