diff --git a/model_allowlist.json b/model_allowlist.json
index ba347ac..4d205f1 100644
--- a/model_allowlist.json
+++ b/model_allowlist.json
@@ -6,6 +6,7 @@
       "modelFile": "gemma-3n-E2B-it-int4.task",
       "description": "Preview version of [Gemma 3n E2B](https://ai.google.dev/gemma/docs/gemma-3n) ready for deployment on Android using the [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference). The current checkpoint only supports text and vision input, with 4096 context length.",
       "sizeInBytes": 3136226711,
+      "estimatedPeakMemoryInBytes": 5905580032,
       "version": "20250520",
       "llmSupportImage": true,
       "defaultConfig": {
@@ -23,6 +24,7 @@
       "modelFile": "gemma-3n-E4B-it-int4.task",
       "description": "Preview version of [Gemma 3n E4B](https://ai.google.dev/gemma/docs/gemma-3n) ready for deployment on Android using the [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference). The current checkpoint only supports text and vision input, with 4096 context length.",
       "sizeInBytes": 4405655031,
+      "estimatedPeakMemoryInBytes": 6979321856,
       "version": "20250520",
       "llmSupportImage": true,
       "defaultConfig": {
@@ -40,6 +42,7 @@
       "modelFile": "Gemma3-1B-IT_multi-prefill-seq_q4_ekv2048.task",
       "description": "A variant of [google/Gemma-3-1B-IT](https://huggingface.co/google/Gemma-3-1B-IT) with 4-bit quantization ready for deployment on Android using the [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference)",
       "sizeInBytes": 554661246,
+      "estimatedPeakMemoryInBytes": 2147483648,
       "version": "20250514",
       "defaultConfig": {
         "topK": 64,
@@ -56,6 +59,7 @@
       "modelFile": "Qwen2.5-1.5B-Instruct_multi-prefill-seq_q8_ekv1280.task",
       "description": "A variant of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) with 8-bit quantization ready for deployment on Android using the [MediaPipe LLM Inference API](https://ai.google.dev/edge/mediapipe/solutions/genai/llm_inference)",
       "sizeInBytes": 1625493432,
+      "estimatedPeakMemoryInBytes": 2684354560,
       "version": "20250514",
       "defaultConfig": {
         "topK": 40,