Google 发布了 Gemma 4 12B，这是一款多模态模型，能够通过单一统一的路径处理文本、图像、音频和视频。这款开放权重模型专为高效的本地部署而设计，仅需 16GB 内存，无需单独的视觉和音频编码器。虽然不如 26B 或 31B 等更大模型强大，但 12B 模型在创意写作、编码辅助和代理工作流等任务上提供了近乎可比的质量。 AI
影响 使消费级硬件上的本地多模态 AI 应用成为可能，可能降低开发者的门槛。
排序理由 Google DeepMind 发布新的多模态模型。
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
<!-- SC_OFF --><div class="md"><p>Not talking about 31b. </p> <p>In terms of creative tasks, writing, chatting, not necessarily coding but can still be included, </p> <p>Does Gemma 12b outperform in any way?</p> <p>Is the 12b closer to the 31b compared to the 26a4b?</p> </div><!-…
<!-- SC_OFF --><div class="md"><p>How are you using it? Quantized? At what quantization level?</p> <p>On what hardware?</p> <p>Thank you for the information. </p> </div><!-- SC_ON -->   submitted by   <a href="https://www.reddit.com/user/Intelligent-Taste-36"> /u/Intellig…
<!-- SC_OFF --><div class="md"><p>Anyone check out the new Gemma4 12B that dropped 3 days ago? Integrated vision and audio recognition, no mmpro needed plus tool use. Q4 quant is like 8gb RAM. Crazy fast and great quality for it's size. No, it's not as good as a 27B or 31B. But i…
<p>Google shipped Gemma 4 12B on June 3, 2026. It is an open-weights, 11.95B-parameter model that accepts text, images, audio, and video as input, returns text, and can run on a laptop with 16GB of memory. The main implementation detail: it is a mid-sized multimodal model with na…