AIDEV REPO - REPO REVIEW

@aidev.repo

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Selling · SaaS › AI Tool

Kimi K3seen in 27 videos →github.com/MoonshotAI/Kimi-K3 ↗

Why it worked

The video effectively leverages trending topics in AI by showcasing a powerful, open-source model with impressive performance metrics and a clear, actionable call to action to follow the creator's page for more AI-related content.

Summary

The video introduces Kimi K3, an open-weight multimodal AI model with 2.8 trillion parameters, highlighting its impressive performance metrics and architecture. It showcases the model's capabilities, benchmark scores, and how to run it, encouraging viewers to follow the AIDev Repo for more.

Structure

1Introduction of Kimi K3 and its scale
2Highlighting its popularity and performance metrics
3Detailing the model's architecture and components
4Instructions on how to download and run the model
5Call to action to follow AIDev Repo

Product placement

Kimi K3 ACTS: it is an open-weight native multimodal language model that understands text and images. It is presented as a downloadable model, with its performance benchmarked and its architecture detailed. Removing it would change the entire video. MoonshotAI ACTS: it is the entity that developed Kimi K3 and is presenting it. Removing it would change the video. Claude Opus 4.8 APPEARS: it is a benchmarked model used for comparison. Removing it would not change the video. vLLM ACTS: it is a tool used to serve the Kimi K3 model. Removing it would change the video. HuggingFace APPEARS: it is a platform where the Kimi K3 model weights are available. Removing it would not change the video. SG Lang APPEARS: it is an alternative tool to vLLM for serving models. Removing it would not change the video. AIDev Repo ACTS: it is the creator of the video, presenting the Kimi K3 model and encouraging viewers to follow their page. Removing it would change the video.

Original caption

2,8 nghìn tỉ tham số mà cho tải về free 🔥 Kimi K3 — mô hình mở lớp 3T đầu tiên thế giới. ⭐ 5.6K sao sau 3 ngày · Kimi K3 License · 94,5 điểm MCPMark (Opus 4.8 chỉ 76,4) ⚡ Chạy: $ vllm serve moonshotai/Kimi-K3 Repo: MoonshotAI/Kimi-K3 #aidev #aidevrepo #kimik3 #claudeopus #opensourceai

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On-screen text

AIDEV REPO - REPO REVIEW KIMI K3 5.6K sao Kimi K3 License 2.8T MoE 2,8 NGHÌN TỈ tham số · MoE · open weights 94,5 điểm MCPMark-Verified vượt Claude Opus 4.8 (76,4) 896 experts · dùng 16 184B kích hoạt / token text + ảnh · MoonViT-V2 $ vllm serve moonshotai/Kimi-K3 Hai phẩy tám nghìn tỉ tham số Kimi K3 đây. Moonshot cho tải về free! GIỚI THIỆU Kimi K3 OPEN FRONTIER INTELLIGENCE 5.6K STARS JUL 2026 LAUNCHED 1M CONTEXT Mô hình open-weight native multimodal, thiên về agent. Moonshot AI gọi đây là mô hình mở lớp 3T đầu tiên thế giới. 2.8T params · 104B active Text + Ảnh · MoonViT-V2 1.048.576 token context 93 layers · 96 heads Mới 3 ngày, đã 5.6K sao. TRENDING 5.6K stars BY MoonshotAI LICENSE Kimi K3 License Repo mới ba ngày đã năm nghìn sáu trăm sao, bốn trăm fork. Kinh chưa! SPARSE MOE 896 experts, chỉ dùng 16. 2.8T tổng params 104B kích hoạt / token +2 shared experts 93 layers · 96 heads 1.048.576 token context MoonViT-V2 · 401M vision 16/896 experts kích hoạt mỗi token mười sáu. Nên chạy chỉ nặng một trăm lẻ bốn tỉ. BENCHMARK điểm MCPMark cao nhất bảng Kimi K3 94,5 điểm Claude Opus 4.8 76,4 điểm Hơn 18,1 điểm · SWE-Marathon 42,0 cũng cao nhất bảng Kimi K3 đạt MCPMark chín mươi tư phẩy năm, bỏ xa Claude Opus bốn tám. DeepSearchQA 95,0 Harvey Lab-AA 94,6 Video-MME 90,0 SWE Marathon AA-LCR 76,7 cao nhất bảng. ARCHITECTURE Ba trụ kiến trúc. Kimi Delta Attention 69 lớp KDA + 24 Gated MLA · Attention Residuals Stable LatentMoE latent dim 3584 · 896 experts · SITU-GLU Quantization MXFP4 weights MXFP4 · activations MXFP8 · GAT ᵤ SFT Moonshot công bố hiệu quả scaling ~2,5x so với Kimi K2. Kimi Delta Attention, Stable LatentMoE, quantization MXFP4 ngay từ lúc Weights trên HuggingFace, chạy bằng vLLM hay SG Lang. TAI WEIGHTS NGAY CHAY THU BANG VLLM $ vllm serve moonshotai/Kimi-K3 Frontier AI mở toang. Repo: github.com/MoonshotAI/Kimi-K3 Kimi K3 License · 2.8T MoE · 16/896 experts mỗi token AIDEV REVIEW REPO CHO AIDEV Theo dõi AIDev Repo nhé! AIdev Repo @aidev.repo 30.6k người theo dõi Theo dõi Đang theo dõi