MiniMax H3 Prompt
Turn your brief into an official MiniMax H3 Prompt
What it does
MiniMax H3 guide and free prompt builder in one place. Learn Ref2VA and T2VA, compile official exports, browse 8 Hub skill templates, and copy to Hailuo or the MiniMax API.
MiniMax H3 prompt builder and free guide in one place. Learn Ref2VA and T2VA, compile official exports, browse 8 Hub skill templates, and copy to Hailuo or the MiniMax API. Independent tool.
Free MiniMax H3 prompt compiler, Ref2VA & T2VA templates, and guides. Export to Hailuo or the MiniMax API. Compile official-format MiniMax H3 exports — Ref2VA, T2VA & keyframes in one workspace. See how each MiniMax H3 Hub skill organizes references, shots, and sound — open in Prompt Studio or copy the export. Add demo.mp4 — see public/imgs/showcase/minimalist-product-ad/README.md Release notes, comparison articles, and prompt-writing guides for the MiniMax H3 video model. Honest comparison of LTX 2.5 and MiniMax H3 — generation speed, 4K vs 2K, multishot vs Ref2VA, licensing, hardware, and when H3’s prompt format matters. Updated August 2026. MiniMax H3 weights on Hugging Face — FL2VA vs…from minimaxh3prompt.com
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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