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| language: en | |
| tags: | |
| - video-generation | |
| - minimax-h3 | |
| - int8 | |
| - convrot | |
| - input-major | |
| - h3ddle | |
| - pulpcut | |
| license: other | |
| license_name: minimax-h3-community-license | |
| license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/939557dc319dd91227e30195a763f272ba7f8765/LICENSE | |
| base_model: MiniMaxAI/MiniMax-H3 | |
| pretty_name: PulpCut MiniMax H3 INT8 ConvRot · Input Major | |
| # MiniMax H3 · pruned INT8 ConvRot · input-major | |
| ## What this repository is | |
| An exact-layout repack of the standard MiniMax H3 FL2VA transformer from | |
| [Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3), built for | |
| [H3ddle](https://github.com/AlexanderIstomin/h3ddle), the open-source native | |
| macOS app. | |
| The transformer is **not a standalone model**. It needs the Qwen3-VL-32B INT8 | |
| text encoder, video/audio VAEs, tokenizer, and configuration files from the | |
| optimized Comfy-Org package. | |
| ## Input-major checkpoint | |
| `minimax_h3_fl2va_pruned_int8_convrot_input_major.safetensors` stores all 200 | |
| quantized core projections across 50 blocks as `[input, output]` instead of the | |
| source checkpoint's `[output, input]`. This lets H3ddle's Metal kernel read the | |
| weights more efficiently. | |
| No tensor is dequantized and no value or scale is changed. The converter: | |
| - exactly transposes the four INT8 core projections in every block; | |
| - copies all 732 non-core tensors byte-for-byte; | |
| - preserves ConvRot metadata and per-output F32 scales; | |
| - adds one versioned layout marker that H3ddle validates before creating the | |
| Metal pipeline. | |
| The resulting checkpoint is **not compatible with runtimes that assume the | |
| original output-major Comfy layout**. That original remains available from | |
| [Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3). | |
| ## Measured performance versus the regular layout | |
| The complete artifact was checked against the source tensor by tensor: all 200 | |
| converted matrices matched the exact transpose, all 732 unchanged tensors were | |
| byte-identical, and the native 50-layer output-major/input-major Metal smoke | |
| tests produced identical video and audio hashes. | |
| The directly timed A/B used the same layout and kernel on a matched 512x512 | |
| Turbo generation on a 32 GiB M1 Pro; it is representative of the projection | |
| path, not a separately timed standard-model claim. | |
| | comparison | regular / baseline | optimized path | resulting gain | | |
| |---|---:|---:|---:| | |
| | transformer, output-major vs input-major | 253.9 s | 231.4 s | **8.9% (1.10x)** | | |
| | complete generation, same layout A/B | 278.7 s | 256.5 s | **8.0% (1.09x)** | | |
| The generated images were identical. The standard checkpoint in this | |
| repository separately passed a real H3ddle image-quality check before | |
| publication. Actual improvement varies with canvas size and storage pressure. | |
| ## H3ddle package layout | |
| H3ddle uses this FL2VA core in its Standard + Hybrid References package. | |
| Prompt-only and keyframe generation run the complete core; ordered references | |
| add only the 43.55 MB Ref2VA AdaLN overlay published in | |
| [PulpCut/MiniMax-H3-Ref2VA-Turbo-INT8-ConvRot](https://huggingface.co/PulpCut/MiniMax-H3-Ref2VA-Turbo-INT8-ConvRot), | |
| not a second 20.97 GB transformer. Full Ref2VA checkpoints remain available in | |
| their source repositories for users who want them. | |
| ## Source and attribution | |
| - Original model: [MiniMaxAI/MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3) | |
| - Pruned INT8 ConvRot source: [Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3) | |
| - Native runtime and converter: [H3ddle](https://github.com/AlexanderIstomin/h3ddle) | |
| The source checkpoint is | |
| `diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors` at revision | |
| `014cd40f7e177756c6b2473c0d93b1c89a790dd2`, with SHA-256 | |
| `e889202c41dafb67b10d67b97f0d8541508036a6090af23425a5c2615d03c47a`. | |
| ## Licensing | |
| Derivative of MiniMax H3 weights; the | |
| [MiniMax H3 Community License Agreement](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/939557dc319dd91227e30195a763f272ba7f8765/LICENSE) | |
| applies. By downloading you agree to its terms. | |
| ## File inventory | |
| | File | Bytes | SHA-256 | | |
| |---|---:|---| | |
| | `minimax_h3_fl2va_pruned_int8_convrot_input_major.safetensors` | 20,970,379,724 | `5a0a3e1e73f099680896a98ab418870f27711800ac73b5f16af81724fc7e567a` | | |
| ## Reproducibility | |
| The layout is reproducible with | |
| [`Scripts/repack-h3-input-major.py`](https://github.com/AlexanderIstomin/h3ddle/blob/main/Scripts/repack-h3-input-major.py). | |
| Published by [PulpCut](https://huggingface.co/PulpCut), whose editor family | |
| shares the local-first media-generation stack implemented in H3ddle. | |
| ## Contact | |
| Open an issue in the [H3ddle repository](https://github.com/AlexanderIstomin/h3ddle/issues). | |