[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-gemma-4":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"12444745-e99b-4dea-aabc-084f61af541b","Gemma 4","gemma-4",4,"Gemma 4 是 Google 的開放權重模型系列，重點在長上下文、多模態與雲端部署彈性。它支援 256K context、vision、audio 與 Apache 2.0 授權，適合關注 Vertex AI、Cloud Run、GKE 和 TPU 的開發者。","Gemma 4 is Google’s open-weight model family focused on long context, multimodal input, and flexible cloud deployment. With 256K context, vision, audio, and Apache 2.0 licensing, it matters for teams using Vertex AI, Cloud Run, GKE, or TPUs.",[12,21,29,37],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"8041b1f8-e409-44dc-b574-210938430234","how-to-run-gemma-4-locally-unsloth-zh","怎麼在本機跑 Gemma 4","用 Unsloth Studio 或 llama.cpp 在本機下載、啟動並聊天 Gemma 4。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780777065583-koml.png","zh","2026-06-06T20:17:21.259919+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":26,"image_url":27,"cover_image":27,"language":19,"created_at":28},"fe630502-5455-4001-a6bf-0643f9eb469d","gemma-4-assistant-models-faster-draft-tokens-zh","Gemma 4 助手模型加速草稿 Token","Gemma 4 的 E2B 與 E4B 助手模型用 centroid masking，把草稿 token 的 lm_head 計算量砍到約 45 倍，且品質損失很小。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778278246167-hskc.png","2026-05-08T22:10:33.309766+00:00",{"id":30,"slug":31,"title":32,"summary":33,"category":34,"image_url":35,"cover_image":35,"language":19,"created_at":36},"b8f87962-35c1-4507-a957-2904710abe69","gemma-4-lands-on-google-cloud-zh","Gemma 4 登上 Google Cloud","Gemma 4 進入 Google Cloud，支援 256K context、vision、audio 與 Apache 2.0 授權，還能跑在 Vertex AI、Cloud Run、GKE 與 TPU 上。","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775239437839-x6ov.png","2026-04-03T18:03:40.435555+00:00",{"id":38,"slug":39,"title":40,"summary":41,"category":42,"image_url":43,"cover_image":43,"language":19,"created_at":44},"5f593215-e1e5-4ea1-92f8-0a08d0ab97a8","aime-2026-leaderboard-qwen-leads-math-tests-zh","AIME 2026 排行榜：Qwen 先拿下數學測試","AIME 2026 排行榜只有 8 個模型，但分數差很大。Qwen3.6 Plus 以 0.953 領先，最低只有 0.375。這份數學基準很適合看 LLM 的推理穩定度。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775179306019-0ww7.png","2026-04-03T01:21:30.728823+00:00"]