😧 我靠!Google 用 vLLM patch 把 DiffusionGemma 当 Jev 跑,本地暖机很多任务比云端 Jev 还快,智能基本打平,还自带视觉!

This is a dev post classified by Jev as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
😧 我靠!Google 用 vLLM patch 把 DiffusionGemma 当 Jev 跑,本地暖机很多任务比云端 Jev 还快,智能基本打平,还自带视觉! 对比亮点: 🔹暖机 one-read:tickets 410ms vs 590ms,reviews 119ms vs 135ms,PII 641ms vs 931ms 🔹一次 canvas 并行去噪,不是逐 token 生成,Spark 上约 0.2s 🔹双向注意力,选项同时看完整上下文,置信度更稳 🔹继承 Gemma 4 多模态,Jev 目前纯文本 🔹开源可本地跑,26B MoE(激活 3.8B),量化约 18GB 怎么用: 1️⃣克隆 http://github.com/mmastrac/djev-spark 2️⃣下载 nvidia/diffusiongemma-26B-A4B-it-NVFP4 3️⃣docker compose up 4️⃣POST localhost:8011/v1/systemone(Jev 同款 state + questions) #Google #DiffusionGemma #Jev #Gemma #vLLM #开源AI
Posted by SuSu_酥酥👅 (15.6k followers) 18 h ago · 235 likes · 19.1k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: djev-spark, vllm.
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