diff --git a/dist/transformers.web.js b/dist/transformers.web.js
index a86f15e936b5b03d960037ed3e82a175dd5a0ffb..d74ef622704370b0235a628cfa5746b06fcc620e 100644
--- a/dist/transformers.web.js
+++ b/dist/transformers.web.js
@@ -19840,22 +19840,49 @@ async function getSession(pretrained_model_name_or_path, fileName, options, cach
   return { buffer_or_path, session_options, session_config };
 }
 async function constructSessions(pretrained_model_name_or_path, names, options, cache_sessions = void 0) {
-  return Object.fromEntries(
-    await Promise.all(
-      Object.keys(names).map(async (name) => {
-        const cache_config = cache_sessions?.[name] ?? false;
-        const { buffer_or_path, session_options, session_config } = await getSession(
-          pretrained_model_name_or_path,
-          names[name],
-          options,
-          cache_config,
-          name
-        );
-        const session = await createInferenceSession(buffer_or_path, session_options, session_config);
-        return [name, session];
-      })
-    )
-  );
+  // Patched (whisper_web): each entry briefly holds a full-size decoded
+  // model buffer in JS-heap memory (on top of onnxruntime-web's own WASM-heap
+  // copy during session creation); loading Whisper's encoder and decoder
+  // concurrently keeps both buffers alive at once and roughly doubles the
+  // load-time memory peak, which is enough to OOM-crash mobile browsers on
+  // larger models (e.g. medium, ~460 MB combined). `options.sequentialSessionLoad`
+  // (set by the caller only when that risk is real, D-027/D-029) loads
+  // sub-model sessions one at a time instead of Promise.all-ing them, so the
+  // previous entry's buffer becomes garbage before the next one is fetched —
+  // at the cost of losing the download concurrency a fast connection could
+  // otherwise use, which is the default (and always was, pre-D-027).
+  if (!options?.sequentialSessionLoad) {
+    return Object.fromEntries(
+      await Promise.all(
+        Object.keys(names).map(async (name) => {
+          const cache_config = cache_sessions?.[name] ?? false;
+          const { buffer_or_path, session_options, session_config } = await getSession(
+            pretrained_model_name_or_path,
+            names[name],
+            options,
+            cache_config,
+            name
+          );
+          const session = await createInferenceSession(buffer_or_path, session_options, session_config);
+          return [name, session];
+        })
+      )
+    );
+  }
+  const entries = [];
+  for (const name of Object.keys(names)) {
+    const cache_config = cache_sessions?.[name] ?? false;
+    const { buffer_or_path, session_options, session_config } = await getSession(
+      pretrained_model_name_or_path,
+      names[name],
+      options,
+      cache_config,
+      name
+    );
+    const session = await createInferenceSession(buffer_or_path, session_options, session_config);
+    entries.push([name, session]);
+  }
+  return Object.fromEntries(entries);
 }
 function replaceTensors(obj) {
   for (let prop in obj) {