frank-primary: DFlash2 load attempt + fp8 verdict + compile blocker narrowed

DFlash2: fetched incoai/GLM-5.3-Flash-DFlash2 (2,342,169,800 B, sha256 matches the
Hub LFS oid) and tried --speculative-config {"method":"dflash","model":"/draft"}.
Config and drafter are accepted; the worker dies with 'Model does not support
EAGLE3 interface' - so the only gap is the target-side aux-hidden-state contract
(set_aux_hidden_state_layers + per-layer capture + the two-value forward return,
as deepseek_v2.py demonstrates twice in this image). Recorded the exact interface,
the GLM-specific unknown (what the single-stream state entering layer k means for
an mHC multi-stream trunk) and the honest expectation: no speedup on a
token-proportional pointwise bound.

fp8 KV: recorded the deciding measurement - the fork's KV reserve model is
dtype-blind (the fp8 boot printed the identical 1760 MiB / 13600 B-per-token plan),
so fp8 cannot buy capacity even if the gfx12 MLA path were rewritten. Verdict: do
not spend effort there.

Compile blocker narrowed from 'a latent GLM bug' to dynamo's name map: the
KeyError is thrown by torch/_dynamo/output_graph.py's nn_modules lookup (:3000,
registered :1259/:1384, _modules[..] prefixes stripped :1225), i.e. the compiler
cannot resolve a submodule by name while tracing the decoder layer. Next step is
TORCHDYNAMO_VERBOSE=1, with the note that the scratch launcher resets ENVARGS.

tests/run.sh: 362 seams pass.

serverAppConfigs-docs/log.md

@@ -66,6 +66,21 @@
     capture (`set_aux_hidden_state_layers` / per-layer capture, as `deepseek_v2.py`
     demonstrates). No speedup is budgeted: a verification pass pays pointwise cost
     proportional to its token count.
+  - **DFlash2 tried, and the gap is exactly that one interface.** Payload fetched
+    and hash-verified (`/home/dank/models/GLM-5.3-Flash-DFlash2`, 2,342,169,800 B,
+    sha256 `b038e1d9…` = the Hub's LFS oid). Booting with
+    `--speculative-config '{"method":"dflash","model":"/draft","num_speculative_tokens":8}'`
+    accepts the config and the drafter and dies at worker init with
+    `RuntimeError: Model does not support EAGLE3 interface` — nothing about the
+    drafter, the method or the payload is wrong; the trunk simply does not
+    implement the aux-hidden-state contract.
+  - **Compile blocker narrowed to dynamo's name map.** The `KeyError:
+    'in_proj_qkvbfg_a'` (see above) is thrown from `torch/_dynamo/output_graph.py`'s
+    `nn_modules` name lookup (:3000, registered at :1259/:1384, with `_modules[..]`
+    prefixes stripped at :1225) — i.e. the compiler cannot resolve a submodule by
+    name while tracing the GLM decoder layer. Next step is `TORCHDYNAMO_VERBOSE=1`
+    (torch names it in the error), noting the scratch launcher resets `ENVARGS` so
+    it must be set inside the script's COMPILE_PATCH branch.
   - Measured and rejected: **MTP4** (the head loads, arch resolves to
     `Glm5NextMTPModel`, acceptance is excellent at mean length 3.76-4.90 — but
     decode was unchanged (9.6-11.2 vs 10.0) while prefill COLLAPSED 918 -> 255.