392e644611
588-line vllm model implementation based on qwen3_moe.py. Bootstrap strategy: treat ALL layers as full attention (ignoring linear_attention optimization). Correct but suboptimal. Key adaptations: - _get_text_config(): unwrap composite config -> text_config - Shared expert support (shared_expert_intermediate_size) - Skip linear attention weights (conv1d, delta_net, gated_delta) - Skip vision encoder and MTP weights - QK norm (Qwen3 style) - Partial rotary embedding (rope_pct=0.25) Includes deploy.sh and run_baseline.sh for server deployment.