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xserv/docs
Gahow Wang 6485c87c5b docs: Phase 25 — three speculative-decoding paradigms compared
Contrast Small-Model (Phase 22-24, done), EAGLE3 (this phase's target),
and Multi-Token Prediction (DeepSeek-V3 style, not applicable here).

Includes the actual EAGLE3-Qwen3-8B weight tensor listing pulled from
AngelSlim/Qwen3-8B_eagle3 on dash5:
- 1 midlayer (attention + mlp) with hidden_size=4096
- fc.weight (4096, 12288) fusing 3 target hidden-state levels
- q_proj (4096, 8192) taking concat(embed, fused_h) as input
- lm_head only over draft_vocab_size=32000, mapped back with d2t table
- ~750 MB total (vs 1.2 GB for Qwen3-0.6B), draft cost ~1/10 of target

Also captures Qwen3-8B + EAGLE3 speedup benchmark on vLLM: ~1.97-2.02x
across MT-bench/HumanEval/GSM8K/Alpaca. That's the number to beat.

Next commits will implement Eagle3Head in xserv-model + hook target
hidden states out of Qwen3::decode_core.
2026-07-01 16:53:37 +08:00
..