diff --git a/recipes/glm-5-3-flash-nvfp4-on-2x-dgx-spark-atlas-rc4-2-tp2-dflash2-1m/recipe.yaml b/recipes/glm-5-3-flash-nvfp4-on-2x-dgx-spark-atlas-rc4-2-tp2-dflash2-1m/recipe.yaml
index eecf64f4d..840bc43a5 100644
--- a/recipes/glm-5-3-flash-nvfp4-on-2x-dgx-spark-atlas-rc4-2-tp2-dflash2-1m/recipe.yaml
+++ b/recipes/glm-5-3-flash-nvfp4-on-2x-dgx-spark-atlas-rc4-2-tp2-dflash2-1m/recipe.yaml
@@ -4,7 +4,7 @@ engine:
   name: atlas
   version: sparkglm/atlas-20261012-rc4.2-layered
   source_type: fork
-  git_url: 'https://github.com/Enntity/atlas.git'
+  git_url: 'https://github.com/Enntity/atlas'
   pinned_commit: dfb9c26a95c96faa9f94c44e23343b0f2b4f9db6
   install_note: 'Not pip-installable: Atlas is built from source inside the recipe image (install/build.sh fetches Enntity/atlas at the pinned commit, verifies the tree hash, nvcc-builds FlashKDA + sparse-MLA prefill bridges; 30-60 min cold on the Spark) or pulled as ghcr.io/enntity/atlas-sparkglm:<git-tree-of-install/> (= 246a3a948ab9 @ 3c7d671). Requires two DGX Spark (GB10) nodes on a direct ConnectX-7 cable with RoCE v2 IPv4 on the fabric ports, Docker + NVIDIA runtime on both, passwordless ssh from rank 0 to rank 1, and ~230 GB free per node (204 GB checkpoint + 16 GB overlay + 2 GB drafter).'
 summary: "GLM-5.3-Flash NVFP4 (nvidia checkpoint) served by Enntity's Atlas engine with tensor+expert parallelism across two DGX Sparks over one ConnectX-7 cable, DFlash2 speculative decoding (incoai drafter), FP8-latent KV pool with prefix caching, up to 4 concurrent requests at per-request 1M context; opinionated ./start.sh stack (image from pinned engine commit, verified NVFP4 MTP overlay, optional display-carveout / disk prefix cache / KV shard) with RigMark benchmark receipts, bounded determinism (greedy output independent of concurrency), install + converter tests, and published cross-recipe comparison (RiNGSiDE vLLM TP2)."