You can deploy this model and start earning money today!

Merserk/
MiniMax-H3-INT4-ConvRot

Name: MiniMax-H3-INT4-ConvRot
Availability: InStock

Views

No views yet

MiniMax H3 · INT4 ConvRot

Low-memory INT4 ConvRot weights for running MiniMax H3 locally in ComfyUI

[!NOTE] For 12 GB GPUs, start with a pruned checkpoint. ComfyUI will rely on model offloading, so 32 GB+ system RAM and a fast NVMe SSD are recommended.

Included files

File	Purpose	Size
`minimax_h3_fl2va_pruned_int4_convrot.safetensors`	T2V / first-last-frame video	11.3 GB
`minimax_h3_ref2va_pruned_int4_convrot.safetensors`	Reference-driven video	11.3 GB
`minimax_h3_fl2va_int4_convrot.safetensors`	Full FL2VA checkpoint	17.9 GB
`minimax_h3_ref2va_int4_convrot.safetensors`	Full Ref2VA checkpoint	17.9 GB
`qwen3vl_32b_minimax_h3_int4_convrot.safetensors`	INT4 text encoder	15.0 GB

Installation

bash

hf download Merserk/MiniMax-H3-INT4-ConvRot \
  --local-dir MiniMax-H3-INT4-ConvRot

Place the files in:

text

ComfyUI/models/diffusion_models/   # FL2VA / Ref2VA checkpoints
ComfyUI/models/text_encoders/      # Qwen3-VL text encoder
ComfyUI/models/vae/                # Official MiniMax H3 video + audio VAEs

Update to ComfyUI 0.30.0+, then open Template Library → Video → MiniMax H3.

Model choice

FL2VA — text-to-video, first-frame, last-frame, or first-and-last-frame generation.
Ref2VA — generation guided by reference images, videos, and audio.

INT4 quantization may differ from the original BF16 model. These files are community conversions; the original MiniMax H3 Community License still applies.