DSpark Speculator for google/gemma-4-31B-it

Trained using speculators with the DSpark algorithm (DFlash parallel backbone + Markov head + confidence head).

Usage

# Direct deployment (speculators config auto-detected)
vllm serve olka-amd/dspark-gemma-4-31b-it

# Or explicit speculative config
vllm serve google/gemma-4-31B-it \
  --speculative-config '{"method": "dspark", "model": "olka-amd/dspark-gemma-4-31b-it"}'

Training Configuration

Parameter Value
Algorithm DSpark (DFlash + Markov head + confidence head)
Verifier google/gemma-4-31B-it
Block Size 7
Draft Layers 5
Hidden Size 5376
Markov Rank 256
Markov Head Type vanilla
Confidence Head True
Target Layer IDs [2, 16, 30, 44, 58]
CE Loss 伪 0.1
TV Loss 伪 0.9
Confidence Loss 伪 1.0

Evaluation Results

Metric Value
Full Acceptance Rate 0.6934
Per-Position Acceptance Rate 0.6663
Total Loss 0.4404
CE Loss 0.7204
TV Loss 0.1543
Confidence Loss 0.2294

Per-Position Acceptance

Position Acceptance Rate
0 0.8375
1 0.7722
2 0.7216
3 0.6798
4 0.6437
5 0.6129
6 0.5836
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