diff --git a/hw/dixie/default.nix b/hw/dixie/default.nix
index dbccf9a..d67ff14 100644
--- a/hw/dixie/default.nix
+++ b/hw/dixie/default.nix
@@ -74,7 +74,11 @@ let
     [honcho-embed]
     model = ${modelsDir}/qwen3-embedding-0.6b/Qwen3-Embedding-0.6B-Q8_0.gguf
     embedding = true
-    pooling = cls
+    ; Qwen3-Embedding is causal: pool the last token (its model card does). cls returned the
+    ; first token's state, so every text embedded by its first token alone (cos 1.0 across
+    ; unrelated texts, 2026-09-29). llama.cpp appends the EOS itself; last reproduces the
+    ; card's example scores within 0.002.
+    pooling = last
     ; A whole input must fit in one physical batch AND one slot (batch-size silently caps
     ; ubatch; ctx is split across slots). Bigger batches cost compute buffers fast on a
     ; shared 12 GB card: 8192/slot took 6.6 GB and 4096/slot did not fit beside the 9B and