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susun-123/perfectblend-qwen3-4b-regen

perfectblend-qwen3-4b-regen Single-turn SFT-style corpus for training speculative-decoding draft models (DFlash/MTP-style) against Qwen/Qwen3-4B as the target. Prompts come from an open-perfectblend-derived blend; every assistant response was regenerated by Qwen3-4B itself, so the token distribution matches the target model exactly. The sampled output_token_ids are included, letting trainers supervise on the target's own decode without re-tokenization drift.… See the full description on the dataset page: https://huggingface.co/datasets/susun-123/perfectblend-qwen3-4b-regen.

Author / organizationsusun-123
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Created27 August 2026
Last updated at source27 August 2026
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