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On October 28, 2026, researchers from Polymathic AI, Princeton University, USC ISI, NYU, and the Flatiron Institute released FlashMap. According to a MarkTechPost report, the method replaces the discrete diffusion drafter with continuous flow mapping, allowing a complete block of 16 tokens to be drafted in a single forward pass. On Qwen3-8B, it achieves up to 6.14x lossless speedup at GSM8K temperature 0, with the drafter having only 0.5B parameters. The drafter weights for Qwen3-8B and Qwen3-4B have been released on Hugging Face, along with vLLM and SGLang plugins. There are currently no further developments.
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Polymathic AI and Princeton and other institutions release FlashMap
Source:MarkTechPost
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Oct 28
MarkTechPost
Polymathic AI and Princeton University Release FlashMap: Achieving 6.14x LLM Decoding Speedup with a Flow-Mapping Drafter
Polymathic AI, Princeton University, and other institutions have released FlashMap, which replaces discrete diffusion drafters with continuous flow mapping to draft a complete block of 16 tokens in a single forward pass. On Qwen3-8B, it achieves up to 6.14x lossless speedup on GSM8K at temperature 0, with the drafter having only 0.5B parameters. The drafter weights for Qwen3-8B and Qwen3-4B are now available on Hugging Face, along with vLLM and SGLang plugins.