diff --git a/serverAppConfigs-docs/LLM/Quantization Production.md b/serverAppConfigs-docs/LLM/Quantization Production.md
index 9d301d4..3a988a9 100644
--- a/serverAppConfigs-docs/LLM/Quantization Production.md	
+++ b/serverAppConfigs-docs/LLM/Quantization Production.md	
@@ -162,6 +162,35 @@ REAP the expert set BEFORE step 3; ablate BEFORE calibration.
 Native encodings beyond w4: i8 trunk, fp8 HC/PLE/KV, bf16 protected,
 u2 draft — all recipe-expressible (see the w4dn8 runbook).
 
+#### Recipe portability: the w4dn8 shape onto other MoEs (2026-10-08 audit)
+The pin 1.0.13 container ships SIX arch plugins
+(`/opt/radiance/share/radiance/architectures/`): `qwen4exp_fp8`,
+**`qwen35moe_fp8`**, `qwen35_fp8`, `qwen35_bf16`, `llama_fp8`,
+`llama_dense_fp8` (census via `podman run --rm --entrypoint sh <image> -c`
+— the image has no `ls`/`strings`; grep the `.so` files directly, and
+the image lives in ROOTLESS storage as `docker.io/stilldeadcode/radiance`).
+`grep -c` receipts: `qwen35moe_fp8.so` carries the `RADIANCE_CALIB` tap
+(2) and gram export (2) plus MTP (4) and NO ngram (0) — i.e. the full
+calibration→GPTQ path exists for the qwen3.5-MoE family; GPTQ itself
+lives in `rad-convert`, not the plugin (0 hits in both `.so`).
+
+Worked example — `Qwen/Qwen3.6-35B-A3B` (config: `qwen3_5_moe_text`,
+40 layers, `full_attention_interval=4` DeltaNet hybrid, **256 experts
+top-8**, moe_intermediate 512, hidden 2048, MTP ×1, 262k ctx, vocab
+248320, multimodal wrapper with vision tower):
+- Expert set ~32 B params → w4 ≈ 16 GiB; trunk (attn/DeltaNet/embed/
+  lm_head ~3 B) at i8 ≈ 3 GiB ⇒ **~20 GiB total — fully VRAM-resident
+  on ONE R9700** (32 GiB card): no TP=2, no host pool, no disk tier,
+  no `--ngram-placement`, no 47.7 GiB PLE copy, no HC term. The recipe
+  loses three lines (PLE/HC/protected-count scales with 256 experts).
+- Convert cost scales with the file: Flash-Next's 335 GiB took 5 h 50 m
+  host-backend ⇒ ~70 GiB BF16 ≈ 1–1.5 h. KLD reference boot is trivial
+  (BF16 ~65 GiB in host pool beside the pool KV needs).
+- Unresolved before any real campaign: does `qwen35moe` decode the
+  `Qwen3_5MoeForConditionalGeneration` vision wrapper (assume text-only
+  until proven), and does its MTP cast to the fp8/u2 encodings like
+  qwen4exp. The MNBT-2048 disk-tier law is MOOT for a resident model.
+
 ### Strix Halo — frank-large (halogen) and friends
 - `.hgn`: **closed production door.** No public quantizer exists
   (verified absence across peonist-ai repos); the format's lock is the