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DiffusionGemma-Jev gets vLLM support and one-command Cloud Run deployment

vLLM says the model provides confidence with each answer to yes/no, multiple-choice or scored questions. Google Gemma puts Cloud Run costs at roughly $3 an hour, dropping to $0 when idle.

Brendan O'DonoghueBO
vLLMVL
2 Sources, 20d ago, first seen 20d ago

TLDR

vLLM announced support for DiffusionGemma-Jev, saying it provides confidence with answers to yes/no, multiple-choice and scored questions. It describes starting with a response template, leaving only the answer slots noisy and reading a probability distribution from each slot in a single denoising step.

Google Gemma shared code and instructions for launching a Jev API-compatible endpoint on Google Cloud Run with one command, without needing your own GPU. It reported roughly 35–60 ms single-step latency and about 100–123 requests per second at a batch size of 32. It put costs at roughly $3 an hour, dropping to $0 when idle.

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2 Sources, first seen 20d ago

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Combined views

99.4K

2 Sources, first seen 20d ago

1.2K likes22 comments862 saves177 reposts

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2 Sources

vLLM@vllm_projectDiffusionGemma-Jev now runs on vLLM 🚀 Ask yes/no, multiple-choice, or scored questions and get confidence with every answer. vLLM seeds a canvas with the response template, leaves only the answer slots noisy, then reads a probability distribution from every slot in a single denoising step. Huge thanks to @mmastrac for driving this upstream! 🙏 https://github.com/vllm-project/vllm/pull/5725020d
Brendan O'Donoghue@bodonoghue85RT @vllm_project: DiffusionGemma-Jev now runs on vLLM 🚀 Ask yes/no, multiple-choice, or scored questions and get confidence with every ans…20d
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    2 Sources

    vLLM@vllm_projectDiffusionGemma-Jev now runs on vLLM 🚀 Ask yes/no, multiple-choice, or scored questions and get confidence with every answer. vLLM seeds a canvas with the response template, leaves only the answer slots noisy, then reads a probability distribution from every slot in a single denoising step. Huge thanks to @mmastrac for driving this upstream! 🙏 https://github.com/vllm-project/vllm/pull/5725020d
    Brendan O'Donoghue@bodonoghue85RT @vllm_project: DiffusionGemma-Jev now runs on vLLM 🚀 Ask yes/no, multiple-choice, or scored questions and get confidence with every ans…20d
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