diff --git a/src/llama-graph.cpp b/src/llama-graph.cpp
index fe155c92dea0..fbe423a2b782 100644
--- a/src/llama-graph.cpp
+++ b/src/llama-graph.cpp
@@ -500,15 +500,21 @@ bool llm_graph_input_attn_k::can_reuse(const llm_graph_params & params) {
 }
 
 void llm_graph_input_attn_kv_iswa::set_input(const llama_ubatch * ubatch) {
-    mctx->get_base()->set_input_k_idxs(self_k_idxs, ubatch);
-    mctx->get_base()->set_input_v_idxs(self_v_idxs, ubatch);
+    // base tensors may not be allocated if there are no non-SWA attention layers
+    if (self_k_idxs && self_k_idxs->buffer) {
+        mctx->get_base()->set_input_k_idxs(self_k_idxs, ubatch);
+        mctx->get_base()->set_input_v_idxs(self_v_idxs, ubatch);
 
-    mctx->get_base()->set_input_kq_mask(self_kq_mask, ubatch, cparams.causal_attn);
+        mctx->get_base()->set_input_kq_mask(self_kq_mask, ubatch, cparams.causal_attn);
+    }
 
-    mctx->get_swa()->set_input_k_idxs(self_k_idxs_swa, ubatch);
-    mctx->get_swa()->set_input_v_idxs(self_v_idxs_swa, ubatch);
+    // swa tensors may not be allocated if there are no SWA attention layers
+    if (self_k_idxs_swa && self_k_idxs_swa->buffer) {
+        mctx->get_swa()->set_input_k_idxs(self_k_idxs_swa, ubatch);
+        mctx->get_swa()->set_input_v_idxs(self_v_idxs_swa, ubatch);
 
-    mctx->get_swa()->set_input_kq_mask(self_kq_mask_swa, ubatch, cparams.causal_attn);
+        mctx->get_swa()->set_input_kq_mask(self_kq_mask_swa, ubatch, cparams.causal_attn);
+    }
 
     if (self_k_rot) {
         mctx->get_base()->set_input_k_rot(self_k_rot);
@@ -534,14 +540,21 @@ bool llm_graph_input_attn_kv_iswa::can_reuse(const llm_graph_params & params) {
 
     bool res = true;
 
-    res &= self_k_idxs->ne[0] == params.ubatch.n_tokens;
-  //res &= self_v_idxs->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
+    // base tensors may not be allocated if there are no non-SWA attention layers
+    if (self_k_idxs && self_k_idxs->buffer) {
+        res &= self_k_idxs->ne[0] == params.ubatch.n_tokens;
+      //res &= self_v_idxs->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
 
-    res &= self_k_idxs_swa->ne[0] == params.ubatch.n_tokens;
-  //res &= self_v_idxs_swa->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
+        res &= can_reuse_kq_mask(self_kq_mask, mctx->get_base(), params.ubatch, params.cparams);
+    }
 
-    res &= can_reuse_kq_mask(self_kq_mask,     mctx->get_base(), params.ubatch, params.cparams);
-    res &= can_reuse_kq_mask(self_kq_mask_swa, mctx->get_swa(),  params.ubatch, params.cparams);
+    // swa tensors may not be allocated if there are no SWA attention layers
+    if (self_k_idxs_swa && self_k_idxs_swa->buffer) {
+        res &= self_k_idxs_swa->ne[0] == params.ubatch.n_tokens;
+      //res &= self_v_idxs_swa->ne[0] == params.ubatch.n_tokens; // TODO: need to move this to the unified cache and check there
+
+        res &= can_reuse_kq_mask(self_kq_mask_swa, mctx->get_swa(), params.ubatch, params.cparams);
+    }
 
     return res;
 }