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Apache 2.0

别名：Apache License 2.0

宽松的开源软件许可证，允许商业使用、修改和分发，无需开源衍生作品。

已跟踪 6 条高相关材料

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2026-06-04 · Gemma 4 12B是120亿参数开源多模态模型，可在普通笔记本上直接运行推理。

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Apache 2.0 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。

Apache 2.0Gemma 4多模态模型开源AI

如果只读 3 篇

1

Many research labs only consider inference efficiency after the fact. Step 3.7 Flash is a 196B MoE m...

Fireworks AI(@FireworksAI_HQ) · 8.5 分

Step 3.7 Flash 是一个专为推理优化设计的 196B MoE 模型，采用 MFA 和 AFD 技术，KV-cache 占用仅为 DeepSeek 的 22%，支持高效代理、编码和多模态任务，已开源并可在 Fireworks 平台使用。

2

Are scaling laws finally working for time series foundation models? Today, @datadoghq is releasing ...

clem 🤗(@ClementDelangue) · 8.5 分

Datadog 发布 Toto 2.0，首次实现时间序列基础模型的规模定律，参数从 4M 到 2.5B 均表现优于前代。

3

Celebrating the milestone of a massive 150+ million downloads of Gemma 4 with the release of the new...

Demis Hassabis(@demishassabis) · 7.5 分

Google发布Gemma 4 12B多模态模型，支持在16GB显存笔记本本地运行且采用Apache 2.0开源协议。该模型累计下载量已超1.5亿次，以无编码器统一架构平衡了边缘端效率与高级推理能力，适合开发者快速构建本地AI应用。

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已收录 6 条与 Apache 2.0 相关的内容，按评分排序。

Many research labs only consider inference efficiency after the fact. Step 3.7 Flash is a 196B MoE m...

Step 3.7 Flash: A 196B MoE Model Built for Inference Efficiency

Fireworks AI(@FireworksAI_HQ)183 字 (约 1 分钟)
85

Step 3.7 Flash is a 196B MoE model designed from the ground up for inference efficiency, using MFA and AFD techniques to reduce KV-cache usage to ~22% of DeepSeek, supporting agent, coding, and multimodal workflows, open-sourced under Apache 2.0 and available on Fireworks.

入选理由：Step 3.7 Flash 是 196B MoE 模型，从设计之初就聚焦推理效率，而非事后优化。

FeaturedTweet#Step 3.7 Flash#MoE#Inference Optimization#Fireworks AI#Apache 2.0英文
Celebrating the milestone of a massive 150+ million downloads of Gemma 4 with the release of the new...

Gemma 4 12B Released: Multimodal Model Running Locally on 16GB VRAM

Demis Hassabis(@demishassabis)181 字 (约 1 分钟)
75

Google released Gemma 4 12B, a multimodal model runnable locally on laptops with 16GB VRAM under Apache 2.0 license. With over 150 million downloads, its encoder-free unified architecture balances edge efficiency and advanced reasoning for local AI development.

入选理由：Gemma 4 12B可在仅16GB VRAM的笔记本上本地运行，大幅降低多模态模型部署门槛。

FeaturedTweet#Gemma 4#Multimodal Model#Local Deployment#Apache 2.0#Edge Computing英文
We just launched a Gemma 4 12B! Our first mid-sized model with native audio inputs. Gemma 4 12 B is ...

Gemma 4 12B Launch: First Mid-Sized Model with Native Audio Inputs

Philipp Schmid(@_philschmid)112 字 (约 1 分钟)
72

Gemma 4 12B is the first mid-sized multimodal model with native audio input, featuring a unified encoder-free architecture that runs on 16GB VRAM, matches 26B benchmark performance, and uses Apache 2.0 license.

入选理由：Gemma 4 12B采用无编码器统一架构，直接将视觉与音频信号输入LLM，降低推理延迟。

FeaturedTweet#Gemma 4#Multimodal Model#Audio Understanding#Apache 2.0英文
Check out our Gemma 4 12B model: it's a super capable open weights model that can run directly on yo...

Jeff Dean Highlights Gemma 4 12B: Open Multimodal Model Running on Laptops

Jeff Dean(@JeffDean)122 字 (约 1 分钟)
72

Google released Gemma 4 12B, an open-weight multimodal model under Apache 2.0 that runs natively on laptops. Its encoder-free unified architecture balances edge efficiency with advanced reasoning for local AI development.

入选理由：Gemma 4 12B是120亿参数开源多模态模型，可在普通笔记本上直接运行推理。

FeaturedTweet#Gemma 4#Multimodal Model#Edge AI#Apache 2.0#Open Source英文
Releasing open-source under the Apache 2.0 license. We want to give developers direct access to ente...

Cohere releases open-source Command A+

cohere(@cohere)94 字 (约 1 分钟)
55

Cohere announces the open-source release of Command A+ under Apache 2.0 license, providing enterprise-grade agentic capabilities from experimentation to production.

入选理由：Cohere开源Command A+采用Apache 2.0许可证

FeaturedTweet#Open Source#AI Model#Apache License英文

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