dspark-glm52-draft
DSpark (DFlash-family single-shot parallel drafting) draft models for GLM-5.2
speculative decoding, optimized for code / coding-chat traffic. This repo consolidates
the lineage; each historical checkpoint is an immutable git tag (pick it from the
revision dropdown or pass revision= to from_pretrained/hf_hub_download).
main tracks the current best checkpoint.
Revisions
| tag | arch | checkpoint | trend official_accept_len |
note |
|---|---|---|---|---|
bs8-moe8-lr7xct-20260722-iter7651 (= main) |
block-8 MoE-8 + DFlare | lr7x-ct iter_7651 | 4.704 / 8 | current best; high-LR warm-restart continuation |
bs8-moe8-dflare-20260715-iter10001 |
block-8 MoE-8 + DFlare | dflare iter_10001 | 4.59 / 8 | predecessor run's pre-bump champion |
bs8-moe8-dflare-20260715-iter5251 |
block-8 MoE-8 + DFlare | dflare iter_5251 | ~4.49 | earlier dflare snapshot |
bs8-moe8-dflare-20260714 |
block-8 MoE-8 + DFlare | dflare (earlier) | — | earliest block-8 export |
bs16-moe-20260705 |
block-16 MoE | 2026-07-05 | — | distinct architecture (γ=16), research arm — NOT a version of the block-8 line |
All trend numbers are teacher-forced metrics on a fixed 96-row set that overlaps the training view (no holdout) — NOT serving measurements and NOT SOTA claims. Keep/kill belongs to the offline 3-task screen (gsm8k + humaneval + mt-bench) and an sglang serving bench. Trend-eval noise is ±0.03–0.04.
Shared architecture (block-8 line)
- DSpark block size 8, 5 draft layers, hidden 6144, 64 heads (head_dim 64).
- Vanilla MoE-8 (8 routed top-2 + 1 shared per layer, moe_intermediate 3072); Jakiro OFF.
- DFlare per-layer context fusion, Markov/GRIFFIN correction head (rank 256) + confidence
head (
confidence_detach_input,griffin_fuse). - Reads GLM-5.2 target hidden states from layers [8, 23, 39, 55, 70] of 78.
- 4.44 B total params (~2.7 B active/token), bf16, 8.3 GB.
draft_vocab_size32000 vs target 154880 → serve via sglang's DSpark loader with the d2t full-vocab scatter (d2tint64 [32000],t2dbool [154880] ship in the safetensors; do NOT bf16-cast them). Tokenizer: use GLM-5.2's (not bundled).
Target & data (block-8 line)
- Target (generation AND extraction): lukealonso/GLM-5.2-NVFP4 (modelopt_fp4, fp8-e4m3 KV), live target prefill — fully on-policy, no disk target-state cache.
- SFT view
sha256:c17516837c…(1,379,922 production DB conversations + 522,176 on-policy OPB rows), seq 4096, GLM chat template.
See each tag's own README for its exact step, LR schedule, and provenance hashes.
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