---
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).