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+ MiniMax-H3-fp8
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+ FP8 (float8_e4m3fn) quantized version of MiniMax H3, for use in ComfyUI.
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+ Details
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+ Format: weight-only scaled FP8 (float8_e4m3fn), per-layer weight_scale metadata — same contract ComfyUI uses natively for other fp8_scaled checkpoints.
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+ Quantized: attention (qkv_proj, out_proj), MLP (fc1, fc2), and AdaLN modulation (adaln_proj) linear layers across the transformer blocks.
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+ Kept in original precision: first/last 2 transformer blocks, normalization layers, time embedder, patch-embed projections, and output heads.
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+ Not official: this is an unofficial conversion. MiniMax/Comfy-Org's own released quantization for this model is int8_convrot, not FP8.
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+ Usage
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+ Drop the .safetensors file into ComfyUI/models/diffusion_models/ and load it like the standard MiniMax H3 checkpoint.
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+ Base Model
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+ Original weights: MiniMaxAI/MiniMax-H3