DSpark Speculator for Qwen/Qwen3-8B

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

Usage

# Direct deployment (speculators config auto-detected)
vllm serve mpashkovskii/dspark-qwen3-8b

# Or explicit speculative config
vllm serve Qwen/Qwen3-8B \
  --speculative-config '{"method": "dspark", "model": "mpashkovskii/dspark-qwen3-8b"}'

Training Configuration

Parameter Value
Algorithm DSpark (DFlash + Markov head + confidence head)
Verifier Qwen/Qwen3-8B
Block Size 3
Draft Layers 5
Hidden Size 4096
Markov Rank 256
Markov Head Type vanilla
Confidence Head True
Target Layer IDs [2, 10, 18, 26, 34]
CE Loss 伪 0.1
TV Loss 伪 0.9
Confidence Loss 伪 1.0

Evaluation Results

Metric Value
Full Acceptance Rate 0.6738
Per-Position Acceptance Rate 0.6602
Total Loss 0.0161
CE Loss 0.0258
TV Loss 0.0060
Confidence Loss 0.3979

Per-Position Acceptance

Position Acceptance Rate
1 0.7494
2 0.5981
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