GemmaMatch
Gemma 4 Local 为希望在本地运行 Gemma 4 的用户自动检测硬件,推荐适合的模型并提供运行命令和配置指南。
- 月访问
- 暂无
- 暂无访问数据
- 公开收入
- 未公开
- 暂无公开收入证据
- 入门价
- 免费
- 没有月付订阅价
- 首次发布
- 7 个月前
- 2026-04-07 · 估算
访问
暂无访问数据。
营销动作
发布、搜索与内容、引荐、促销- 牛逼,哈哈哈哈 引用帖 @xanderwow_a: Perhaps, in another universe, their story is about more than Reset, Bot, and Code.
@yonohony · 2026-10-29 · 1 赞 · 0 转发 · 13 浏览
在 V2EX 发布(5 评论)发布
做了个 Gemma 4 本地部署的硬件匹配工具,求各位大佬指点 — 最近对 Gemma 4 感兴趣,发现一个问题:模型版本太多了( E2B 、E4B 、26B MoE 、31B Dense ), 每个对硬件要求都不一样,看群里经常有人问"我这个配置能不能跑 xx 模型"。 自己踩了一圈坑之后,把经验整理成了一个小工具: → 自动检测你的 GP…
4 月 7 日 · 7 个月前发布页
第三方评测与案例拆解
获客渠道拆解、工程师评测与开源档案- 创作者原帖摘录:
- 最近对 Gemma 4 感兴趣,发现一个问题:模型版本太多了( E2B 、E4B 、26B MoE 、31B Dense ), 每个对硬件要求都不一样,看群里经常有人问"我这个配置能不能跑 xx 模型"。 自己踩了一圈坑之后,把经验整理成了一个小工具: → 自动检测你的 GPU ( WebGPU/WebGL ,不需要装任何东西) → 根据你的硬件推荐最合适的模型 + 量化方案 → 直接给 Ollama / llama.cpp / Transformers 的运行命令 → Mac 、Windows 、Linux 、手机都覆盖了 地址: https://www.gemmamatch.com 纯前端,没有后端,不收集任何数据。 目前数据主要是从 r/LocalLLaMA 和社区 benchmark 整理的, 肯定有不
- 核心亮点评测:
- Run Gemma 4 local with auto GPU detection — get the exact model, quantization, and run command for your PC, Mac, iPhone, or Android.
开源仓库与自部署
商店数据
- 评分
- ★ 4.03156 个评分
- 上月新增评分
- —
- 价格与内购
- 免费内购数据未同步
- 首次上架
- 2026-02-2568 MB
- Add support for importing LiteRT-LM models via Hugging Face community URLs.
AI Edge Gallery is the premier destination for running the world’s most powerful open-source Large Language Models (LLMs) on your mobile device. Experience high-performance Generative AI directly on your hardware—fully offline, private, and lightning-fast. Now Featuring: Gemma 4 This update brings official support for the newly released Gemma 4 family. As the centerpiece of this release, Gemma 4 allows you to test the cutting edge of on-device AI. Experience advanced reasoning, logic, and creative capabilities without ever sending your data to a server. Core Features - Agent Skills: Transform your LLM from a conversationalist into a proactive assistant. Use the Agent Skills tile to augment model capabilities with tools like Wikipedia for fact-grounding, interactive maps, and rich visual summary cards. You can even load modular skills from a URL or browse community contributions on GitHub Discussions. - AI Chat with Thinking Mode: Engage in fluid, multi-turn conversations and toggle the new Thinking Mode to peek "under the hood." This feature allows you to see the model’s step-by-step reasoning process, which is perfect for understanding complex problem-solving. Note: Thinking Mode currently works with supported models, starting with the Gemma 4 family. - Ask Image: Use multimodal power to identify objects, solve visual puzzles, or get detailed descriptions using your device’s camera or photo gallery. - Audio Scribe: Transcribe and translate voice recordings into text in real-time using high-efficiency on-device language models. - Prompt Lab: A dedicated workspace to test different prompts and single-turn use cases with granular control over model parameters like temperature and top-k. - Mobile Actions: Unlock offline device controls and automated tasks powered entirely by a finetune of FuntionGemma 270m. - Tiny Garden: A fun, experimental mini-game that uses natural language to plant and harvest a virtual garden using a finetune of FunctionGemma 270m. - Model Management & Benchmark: Gallery is a flexible sandbox for a wide variety of open-source models. Easily download models from the list or load your own custom models. Manage your model library effortlessly and run benchmark tests to understand exactly how each model performs on your specific hardware. - 100% On-Device Privacy: All model inferences happen directly on your device hardware. No internet is required, ensuring total privacy for your prompts, images, and sensitive data. Built for the Community AI Edge Gallery is an open-source project designed for the developer community and AI enthusiasts alike. Explore our example features, contribute your own skills, and help shape the future of the on-device agent ecosystem. Check out the source code on GitHub: https://github.com/google-ai-edge/gallery Note: This app is in active development. Performance is dependent on your device's hardware (CPU/GPU). For support or feedback, contact us at google-ai-edge-gallery-android-feedback@google.com.
- 评分
- 评分未同步评分数未同步
- 上月新增评分
- —
- 价格与内购
- 免费内购数据未同步
- 当前版本
- —商店公开档案
商店图标、评分分布、安装量级与宣传截图同步自 Apple App Store、Google Play 与 Chrome 应用商店。
流量来源
访问构成
这个网站的访问渠道与国家构成还没有数据。
搜索
站点权重 —域名注册 2026-04-07
这个网站还没有搜索关键词数据。
流量数据:Vaneform
定价
公开价格:Unlisted来源资料原文,套餐结构在官网快照后识别。
页面与变化
关键页面
每周快照- 首页www.gemmamatch.com/en
- 功能www.gemmamatch.com/en/mac 快照 2026-11-06
变化
开始记录以来,定价、套餐与定位都没有变化。
问题与证据
- GemmaMatch 是什么产品,支持哪些平台?
- GemmaMatch 归属「开发者效率工具」赛道:Gemma 4 Local 为希望在本地运行 Gemma 4 的用户自动检测硬件,推荐适合的模型并提供运行命令和配置指南。。 支持平台包括:移动应用。
同分类研究对象
这些产品属于同一目录分类。选型时请进一步核对客户任务、功能与部署要求。