Minimax-h3-Singularity-V2-Pruned-GGUF

Abiray/Minimax-h3-Singularity-V2-Pruned-GGUF

作者
Abiray
任务
视频生成
下载量
20,128
点赞数
11
趋势分
3
许可证
other
收录时间
2026/11/11

license: other license_name: minimax-h3-community license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/raw/main/LICENSE tags:

  • text-to-video
  • image-to-video
  • gguf
  • comfyui
  • minimax-h3
  • singularity
  • quantized base_model: WarmBloodAban/Minimax-h3_Singularity

Minimax-H3 Singularity V2 (Pruned) - GGUF Quantizations

Quantized GGUF versions of WarmBloodAban/Minimax-H3 Singularity, optimized for ComfyUI-GGUF.


📁 Available GGUF Files & Sizes

FilenameFile SizeQuantization TypeRecommended VRAM / Use Case
Minimax-h3-Singularity-ref2va-v2-Pruned-Q3_K_M.gguf8.9 GBQ3_K_M (3-bit Medium)Low-VRAM systems (12 GB–16 GB VRAM)
Minimax-h3-Singularity-ref2va-v2-Pruned-Q4_K_M.gguf11.6 GBQ4_K_M (4-bit Medium)Sweet Spot for standard GPUs (16 GB–24 GB VRAM)
Minimax-h3-Singularity-ref2va-v2-Pruned-Q5_K_M.gguf14.1 GBQ5_K_M (5-bit Medium)High fidelity for 24 GB+ VRAM
Minimax-h3-Singularity-ref2va-v2-Pruned-Q6_K.gguf16.7 GBQ6_K (6-bit)Near-lossless quality

🛠️ Engineering & Pruning Details

  • Curve-Pruned AdaLN Architecture: The 51 unpruned AdaLN modulation modules ([Out, 2688]) from the original 34GB checkpoint were projected onto the canonical rank-8 Ref2VA subspace (adaln_basis + adaln_mean), reducing parameters by 13.03 Billion and saving ~26 GB of disk space.
  • Lossless Precision Guards: All normalization layers (RMSNorm, LayerNorm), timestep embeddings (adaln_t_table), and modality input/output heads (video_patch_proj, audio_patch_proj, final_layer.video_out, final_layer.audio_out) are preserved in lossless FP32.
  • ConvRot Un-Rotation: Source INT8 weights were accurately un-rotated using ComfyUI's exact Regular Hadamard ($H_4^{\otimes 4}$) transform in float64 before K-quantization, eliminating quantization artifacts and color shifts.
  • LoRA Compatibility: Includes the canonical adaln_affine.safetensors curve basis, ensuring 100% compatibility with the ComfyUI pruned H3 LoRA and PowerLoRA stack ecosystem.

🚀 How to Use in ComfyUI

  1. Place your chosen .gguf file into your ComfyUI models folder: ComfyUI/models/diffusion_models/
  2. Load the model using UnetLoaderGGUF.
  3. Pair it with the Qwen3-VL text encoder and MiniMax-H3 Video + Audio VAEs.

📜 Acknowledgments & License

  • Original Model: WarmBloodAban/Minimax-H3_Singularity
  • Base Architecture: MiniMax H3 by MiniMax, licensed under the MiniMax H3 Community License Agreement.
  • GGUF Conversion & Pruning: By Abiray.

内容来源:Hugging Face 模型卡

在 Hugging Face 查看