Replacing MiniMax H3's 32B Text Encoder with 4B/8B Models: An Update
Fit_Ad7343 · reddit · 2026-08-10
The MiniMax H3 video generation model originally relied on a massive 32B parameter text encoder (taking up 15.7 GB VRAM) to process prompts. A developer attempted to replace it with a Qwen3-VL 4B or 8B model combined with a learned mapping network to reduce resource consumption.
In a recent proof-of-concept update, the developer successfully resolved previous issues—such as low audio volume, hitting a ceiling in instruction following, and inaccurate generation of specific individuals—by introducing a small residual network and supplementing with a TMDB celebrity dataset. The 4B and 8B replacement versions now show significantly improved instruction following, and the related code and matrix weights have been open-sourced.
Related event: Extreme Compression: Swapping 32B Encoder for 4B in MiniMax H3(3 posts)→
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