diff --git a/recipes/qwen3-8-27b-nvfp4a4-awq-1x-rtx-pro-6000-sglang-fast-decode/recipe.yaml b/recipes/qwen3-8-27b-nvfp4a4-awq-1x-rtx-pro-6000-sglang-fast-decode/recipe.yaml
index c46642e93..aaa191077 100644
--- a/recipes/qwen3-8-27b-nvfp4a4-awq-1x-rtx-pro-6000-sglang-fast-decode/recipe.yaml
+++ b/recipes/qwen3-8-27b-nvfp4a4-awq-1x-rtx-pro-6000-sglang-fast-decode/recipe.yaml
@@ -130,3 +130,6 @@ provenance:
     - 'https://github.com/AppNetDeveloper/sglang-sm120-fast-decode'
     - 'https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.8-27B-NVFP4A4-AWQ'
   notes: 'Scout ingest (localai-recipes) of AppNetDeveloper/sglang-sm120-fast-decode @ 937460a718819c7b646b48b8ce67290896f96b97 (HEAD 2026-10-14, created+measured same day). All launch/env/patch/config facts transcribed from that tree: README.md results table + how-to-apply env exports, both patch files, 7 fp8_configs JSONs (device-locked N,K names), tokens/ 40000-id hot list. Repo shows no full serve script; base serve args elided in README, so config.launch carries the stated flags and 0.5.21 spellings for FP8-KV/HiCache. Hot-token list built only from public HyperQwen + MiaAI-Lab es_en_code_65k lists per README. Model card: 23.4 GB on disk; license:other on HF (thinking-cap model card); recipe yaml licensed CC-BY-4.0. Not re-benchmarked by us; T0 submitter-provenance throughout.'
+storage_requirements:
+  ssd_gb: 23.4
+  note: 'Model card: 23.4 GB on disk (recipe provenance notes state the size); download-size statement only, no RAM requirement stated'