Chimere DFlash Training Data
Prompt datasets used to train the DFlash block diffusion drafter for speculative decoding on Qwen3.5-35B-A3B.
Files
all_prompts.jsonl — 3,927 diverse prompts (5.1 MB)holdout_v8_500.jsonl — 500 holdout prompts for evaluationeval_holdout_200.jsonl — 200 eval promptseval_prompts.jsonl — 500 eval promptsdiverse_prompts.jsonl — 140 diversity-focused prompts
Key result
DFlash drafter trained on these prompts achieves τ = 9.4 tokens/step offline (+47% vs the original DFlash paper's τ ≈ 6.4).
See
chimere for the full code.
Author
Kevin Remondiere — Independent ML researcher
