diff --git a/stacks/llama-swap/conf/config.yaml b/stacks/llama-swap/conf/config.yaml
index 226a73f..ac409ec 100644
--- a/stacks/llama-swap/conf/config.yaml
+++ b/stacks/llama-swap/conf/config.yaml
@@ -33,6 +33,10 @@
 #               via huggingface_hub.snapshot_download with hf_transfer.
 #               Both repos include mmproj-BF16.gguf — llama-server's -hf
 #               flag auto-loads it, so vision works without --mmproj.
+#   2026-05-13: Added selene-1-mini-8b (AtlaAI judge model, mradermacher
+#               imatrix Q6_K, ~6.5GB). New JUDGE / EVAL section. Pre-pulled
+#               via playbooks/pull-hf-model.yaml (canonical replacement
+#               for ad-hoc huggingface_hub.snapshot_download calls).
 # ============================================================================
 
 # Default 1200 seconds (20 min) to wait for model to be available to load.
@@ -447,6 +451,31 @@ models:
       --temp 0.0
       --top-p 1.0
 
+  # ==========================================================================
+  # JUDGE / EVAL MODELS
+  # - Designed for evaluation/scoring rather than chat/reasoning.
+  # - Deterministic-leaning defaults (low temp, no repeat penalty) so the
+  #   same prompt scores consistently across re-runs.
+  # ==========================================================================
+
+  "selene-1-mini-8b":
+    name: "Selene 1 Mini Llama 3.1 8B iMat-Q6_K"
+    description: "AtlaAI's small judge model. Llama 3.1 8B base, iMatrix-weighted Q6_K (~6.5GB; quality-leaning quant). Apache-2.0. 84% on RAGTruth hallucination eval per Atla cookbook with these defaults."
+    ttl: 600
+    cmd: |
+      /app/llama-server
+      --jinja
+      -hf mradermacher/Selene-1-Mini-Llama-3.1-8B-i1-GGUF:Q6_K
+      --port ${PORT}
+      --n-gpu-layers 999
+      --ctx-size 32768
+      --cache-type-k q8_0
+      --cache-type-v q8_0
+      --flash-attn on
+      --temp 0.01
+      --top-p 1.0
+      --repeat-penalty 1.0
+
   # ==========================================================================
   # EMBEDDING MODELS (persistent, always loaded)
   # ==========================================================================