模型
别名：gemma-3
基础语言模型，提供零样本语言泛化能力
已跟踪 2 条高相关材料
最近变化
2026-06-04 · Nemotron 3.5通过整合文本/图像/响应三重输入实现多模态安全评估
为什么值得关注
Gemma 3 被反复提及时，通常意味着它正在影响产品路线、开发者工作流或 AI 产业判断。这个页面把分散材料合并成一个可持续更新的观察入口。
Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI
Hugging Face Blog · 8.5 分
Nemotron 3.5实现多模态内容安全统一评估，支持12种语言并可定制企业策略。
Best Small Language Models on Hugging Face Right Now!
KDnuggets · 8.5 分
This article highlights the advancements in small language models, specifically those with under 7 billion parameters, which can now run on...
已收录 2 条与 Gemma 3 相关的内容，按评分排序。
Nemotron 3.5 enables unified multimodal content safety evaluation, supporting 12 languages and customizable enterprise policies.
入选理由：Nemotron 3.5通过整合文本/图像/响应三重输入实现多模态安全评估
This article highlights the advancements in small language models, specifically those with under 7 billion parameters, which can now run on consumer GPUs or even laptops. It emphasizes that these models are now capable of performing tasks that were previously only achievable by much larger models, thanks to improvements in training data quality, distillation techniques, and architectural innovations like Mixture-of-Experts (MoE). The article provides a curated list of the best small language models available on Hugging Face, along with their capabilities and benchmark scores.
入选理由：Small language models under 7 billion parameters are now capable of performing complex tasks previously reserved for much larger models.
