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Hj
Make a TikTok ads -
model card: single-pass build, retract double-quant caveat
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minimax_h3_fl2va_pruned_nvfp4.safetensors: rebuild from pruned_bf16 (single-pass NVFP4)
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minimax_h3_ref2va_pruned_nvfp4.safetensors: rebuild from pruned_bf16 (single-pass NVFP4)
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add rockerBOO mixed-precision convrot_int8 files, with credit
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mirror minimax_h3_fl2va_pruned_nvfp4_convrot_int8.safetensors from rockerBOO/minimax-h3-nvfp4 (credit: rockerBOO)
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mirror minimax_h3_ref2va_pruned_nvfp4_convrot_int8.safetensors from rockerBOO/minimax-h3-nvfp4 (credit: rockerBOO)
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Soften NVFP4 recommendation; scope measured table to speed/size only
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Honest limitations: int8_convrot may beat NVFP4 on motion quality; retract prior no-degradation claim; add VRAM ceiling
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Document fl2va_pruned_nvfp4
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Add minimax_h3_fl2va_pruned_nvfp4.safetensors (requantized from diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors)
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Upload README.md with huggingface_hub
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Upload pruned_to_nvfp4.py with huggingface_hub
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Upload minimax_h3_ref2va_pruned_nvfp4.safetensors with huggingface_hub
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Add prompting guide: H3 expects a structured IR, not prose
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Upload vae/minimax_h3_audio_vae_fp32.safetensors with huggingface_hub
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Upload vae/minimax_h3_video_vae_fp16.safetensors with huggingface_hub
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Upload text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors with huggingface_hub
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Upload README.md with huggingface_hub
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Upload minimax_h3_ref2va_nvfp4_full.safetensors with huggingface_hub
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Upload minimax_h3_ref2va_nvfp4_mixed.safetensors with huggingface_hub
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Upload make_profile.py with huggingface_hub
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Upload profiles/minimax_h3_nvfp4_full.json with huggingface_hub
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Upload profiles/minimax_h3_nvfp4_mixed.json with huggingface_hub
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Upload README.md with huggingface_hub
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initial commit