The v4 boot named the actual miss: model_runner.py:425 calls
set_eagle3_aux_hidden_state_layers(self.model) on the instance model_runner
LOADED -- and for GLM-5.3-Flash that is Glm5NextForConditionalGeneration (the
multimodal wrapper; APIServer log: 'Resolved architecture:
Glm5NextForConditionalGeneration'), which wraps the text model as
self.language_model = Glm5NextForCausalLM (glm5next/common/model.py:1113).
v4 put the three presence-checked attributes only on Glm5NextForCausalLM,
so the isinstance check on the conditional still failed with the same
RuntimeError.
v5 adds to BOTH wrappers, MRO-safely (attribute route, no Protocol base):
- Glm5NextForConditionalGeneration: supports_eagle3 / has_own_lm_head /
has_own_embed_tokens + the two methods delegating to self.language_model
(the pixtral.py:498 pattern);
- Glm5NextForCausalLM: the same three attributes + the two methods that
unwrap to self.model (the EagleModelMixin trunk -- v1's correct bodies).
Also proven by MRO simulation: the ForCausalLM's five-base ordering cannot
take SupportsEagle3 as a base in ANY position, so inheritance was never a
viable route for this model.
base 008eeaa2... -> patched bc9913a1..., apply-verified against the pinned
image (patch -p1 reproduces the sha256 and matches the mounted file).
Frank
b877d87588