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, built for 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.
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, 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
- Pruned INT8 ConvRot source: Comfy-Org/MiniMax-H3
- Native runtime and converter: 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 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.
Published by PulpCut, whose editor family shares the local-first media-generation stack implemented in H3ddle.
Contact
Open an issue in the H3ddle repository.