docs: record FreeToken compressed-tensors FP8 loader failures; Huihui restored

Ornith per-channel aborts in expert-source resolution (nonstandard
tensor naming); HauhauCS block-fp8 128x128 aborts in _dequant_fp8_weight
(shape mismatch). modelopt block-fp8 is the only FP8 path. Log entry +
runbook quant matrix updated; dead downloads staged to host trash.

serverAppConfigs-docs/LLM/freetoken-frank-default-small.md

@@ -19,7 +19,9 @@ The `frank-default-small` service on Dankserver is served by
 expert weights in host RAM with an LRU GPU cache. Model history on this
 runtime: official `Qwen/Qwen3.6-35B-A3B-FP8` (since 2026-09-02) →
 `batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8` (2026-08-30,
-same format and pool budget). The engine itself replaced the llama.cpp
+same format and pool budget; re-landed 2026-09-01 after two
+compressed-tensors FP8 candidates failed to load — see Quantization
+Compatibility). The engine itself replaced the llama.cpp
 Tiel-Coder-35B-A3B (UD-Q6_K_XL) deployment.
 
 ## Model
@@ -105,9 +107,24 @@ FreeToken v0.1.2 supports these safetensor quants for `qwen3_5_moe`:
 | NVFP4 (compressed-tensors) | 4-bit float, group_size=16, strategy=tensor_group | ✅ |
 | Per-tensor FP8 (modelopt) | scalar `weight_scale` | ✅ |
 | Per-channel FP8 (compressed-tensors) | `weight_scale: [O, 1]` | ❌ loader bug |
+| Block-fp8 128×128 (compressed-tensors) | `quant_method: "compressed-tensors"` + `block_structure: [128, 128]` | ❌ dequant shape bug |
 | Quark W8A8 INT8 | per-channel scales | ❌ loader bug |
 | GGUF | only `gemma4` arch | ❌ for qwen3_5_moe |
 
+**2026-09-01 live verification (Dankserver):** both compressed-tensors
+FP8 shapes fail on FreeToken v0.1.2, each a clean exit at load (37 GB
+fits RAM — no swap-thrash). `ornith-ai/Ornith-1.5-35B-A3B-FP8`
+(per-channel) aborts in expert-source resolution:
+`ValueError: Missing MoE expert source layers: {'gate_up': ...}` — its
+expert tensors do not follow the `mlp.experts.{N}.gate_proj/up_proj/
+down_proj` naming the MoE provider scans for.
+`lamianlbe/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-fp8` (block
+128×128, standard naming) resolves experts but aborts in dequant:
+`RuntimeError: The size of tensor a (2048) must match the size of
+tensor b (...)` in `_dequant_fp8_weight`, which multiplies
+`weight × weight_scale` directly instead of expanding the block scales.
+modelopt block-fp8 remains the only FP8 path that loads.
+
 ## Files
 
 | File | Purpose |

serverAppConfigs-docs/log.md

@@ -11,6 +11,36 @@ timestamp: 2026-09-14
 
 # Bundle Change Log
 
+## 2026-09-01 — frank-default-small: two compressed-tensors FP8 swaps fail to load; Huihui restored
+- `/scripts/frank-default-small.env`, `/scripts/serve-frank-small.sh`,
+  `/scripts/frank-default-small.service` (`af6cd72` → `34ab6b4` → reverted
+  in `4d5bea4`) — attempted model swaps on FreeToken v0.1.2, both
+  live-verified as loader failures and reverted the same day to the Huihui
+  FP8 checkpoint:
+  - `ornith-ai/Ornith-1.5-35B-A3B-FP8` (compressed-tensors per-channel):
+    `ValueError: Missing MoE expert source layers: {'gate_up': ...}` — the
+    checkpoint's expert tensors do not follow the
+    `mlp.experts.{N}.gate_proj/up_proj/down_proj` naming the MoE provider
+    scans for.
+  - `lamianlbe/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-fp8`
+    (compressed-tensors block-fp8 128×128, standard naming): experts
+    resolve but `_dequant_fp8_weight` multiplies `weight × weight_scale`
+    directly — block scales do not broadcast →
+    `RuntimeError: The size of tensor a (2048) must match ...`.
+- Both failed cleanly at load (37 GB fits RAM — no swap-thrash, no
+  outage); service was back on Huihui within the hour and re-verified with
+  a real completion (reasoning parses; `17*23 → 391`, natural stop).
+- `/serverAppConfigs-docs/LLM/freetoken-frank-default-small.md` — quant
+  matrix updated: modelopt block-fp8 is the ONLY FP8 path that loads; both
+  compressed-tensors shapes documented with their exact errors.
+- **Deploy health-check trap (second occurrence)**: `deploy.sh` reported
+  "healthy after approximately 6s" for BOTH failed loads — the health gate
+  passes while the doomed worker is still starting. A model swap is only
+  proven by the journal (Uvicorn startup) + a real completion.
+- Staged for trash (awaiting purge approval): `/home/dank/models/ornith-1.5-35b-a3b-fp8`
+  (37 GB) and `/home/dank/models/hauhaucs-qwen36-35b-a3b-aggressive-fp8`
+  (35 GB).
+
 ## 2026-09-01 — dankserver media stack standardized to quadlet; dankclaw data roots migrated
 - **Incident context**: Dankserver hard-crashed and rebooted 2026-09-01; every
   bare compose-era media container (RomM trio, Jellyfin, Calibre-Web,