•1 min read•from Machine Learning
Transformer Math Explorer [P]
Our take
Introducing the Transformer Math Explorer, an interactive math reference designed to demystify transformer models through intuitive dataflow graphs. Covering a range from GPT-2 to Qwen 3.6, this tool allows users to toggle between various models and concepts, including MLA, MoE, RoPE, MTP, and hybrid attention. Originally created for personal use, it aims to provide clarity in understanding complex variations. If you encounter any errors or find aspects that are unclear, your feedback is invaluable for enhancing this resource.
![Transformer Math Explorer [P]](/_next/image?url=https%3A%2F%2Fexternal-preview.redd.it%2FBFIg4KJ_Lb1cT_fEp_aR5T8A2tbOhZKO3DwQFn9Xxf8.png%3Fwidth%3D640%26crop%3Dsmart%26auto%3Dwebp%26s%3Dcae1df99908e4bdf90f43d52052ca6c3ff4938ea&w=3840&q=75)
![Transformer Math Explorer [P]](https://external-preview.redd.it/BFIg4KJ_Lb1cT_fEp_aR5T8A2tbOhZKO3DwQFn9Xxf8.png?width=640&crop=smart&auto=webp&s=cae1df99908e4bdf90f43d52052ca6c3ff4938ea "Transformer Math Explorer [P]") | This is an interactive math reference for transformer models, presented via dataflow graphs, all the way down to elementary math. Covers models from GPT-2 to Qwen 3.6, with MLA, MoE, RoPE, MTP, hybrid attention, and other variants toggleable. Originally made this for myself to keep track of all the variations. If you find errors or find something unintuitive or misleading let me know! [link] [comments] |
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