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
| Filename | File Size | Quantization Type | Recommended VRAM / Use Case |
|---|---|---|---|
Minimax-h3-Singularity-ref2va-v2-Pruned-Q3_K_M.gguf | 8.9 GB | Q3_K_M (3-bit Medium) | Low-VRAM systems (12 GB–16 GB VRAM) |
Minimax-h3-Singularity-ref2va-v2-Pruned-Q4_K_M.gguf | 11.6 GB | Q4_K_M (4-bit Medium) | Sweet Spot for standard GPUs (16 GB–24 GB VRAM) |
Minimax-h3-Singularity-ref2va-v2-Pruned-Q5_K_M.gguf | 14.1 GB | Q5_K_M (5-bit Medium) | High fidelity for 24 GB+ VRAM |
Minimax-h3-Singularity-ref2va-v2-Pruned-Q6_K.gguf | 16.7 GB | Q6_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
float64before K-quantization, eliminating quantization artifacts and color shifts. - LoRA Compatibility: Includes the canonical
adaln_affine.safetensorscurve basis, ensuring 100% compatibility with the ComfyUI pruned H3 LoRA and PowerLoRA stack ecosystem.
🚀 How to Use in ComfyUI
- Place your chosen
.gguffile into your ComfyUI models folder:ComfyUI/models/diffusion_models/ - Load the model using
UnetLoaderGGUF. - 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