mgoin / GLM-5.2-speculator.dspark-preview

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Model's Last Updated: July 08 2026
text-generation

Introduction of GLM-5.2-speculator.dspark-preview

Model Details of GLM-5.2-speculator.dspark-preview

GLM-5.2 DSpark speculator (preview)

DSpark (DFlash backbone + Markov logit-bias head + per-position confidence head) draft model for zai-org/GLM-5.2-FP8 , trained with speculators .

Testing / preview checkpoint. A working first cut while we iterate on the recipe, expect a stronger replacement. Not a final release.

Training

Online training: the draft consumes hidden states streamed on-the-fly from a live GLM-5.2-FP8 vLLM server (TP4), with the trainer running data-parallel on the remaining GPUs. Used 8xB300 graciously provided by Verda Cloud.

  • Data: 50k UltraChat prompts regenerated by GLM-5.2-FP8 itself (its own reasoning + responses), seq_len=4096 .
  • Recipe: 3 epochs, lr 6e-4, cosine schedule, SiLU; 5 draft layers, block_size=8 , draft vocab 32000, aux layers [8, 23, 39, 55, 70] .
  • Loss: {ce: 0.1, tv: 0.9} + confidence-head BCE.
  • max_anchors=1024 .
Validation (epoch 3)
metric value
mean accepted length 2.748
full accuracy 0.454
mean acceptance rate 0.411
confidence abs error 0.048

Per-position acceptance (positions 1-7): 0.711 / 0.560 / 0.464 / 0.407 / 0.369 / 0.342 / 0.320

The later-position accuracy holds up well (the Markov head's job against suffix decay).

Runs of mgoin GLM-5.2-speculator.dspark-preview on huggingface.co

277
Total runs
-84
24-hour runs
-119
3-day runs
-671
7-day runs
-690
30-day runs

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