Native GGML_TYPE_NVFP4 GGUF diffusion-model weights for MiniMax H3. These files target the MiniMax H3 support in stable-diffusion.cpp and Blackwell-class NVIDIA GPUs.

This repository contains all four combinations of task and pruning level:

File	Task	Bytes	NVFP4 tensors	SHA-256
`minimax_h3_fl2va_nvfp4.gguf`	FL2VA, full	18,685,049,568	470	`40699037ee725b5fab15594694bbbd50abbaec65bf3c03420be3be171105e229`
`minimax_h3_fl2va_pruned_nvfp4.gguf`	FL2VA, pruned	11,380,270,144	418	`7400c9a10b667322a13cf9f874182e9f5f0daf9b7129eeeef3d90b65b56e176e`
`minimax_h3_ref2va_nvfp4.gguf`	Ref2VA, full	18,685,049,568	470	`4ea6459d6282b3be3a60274ba623431869d6d2299a470ad1fc8888997066e7dd`
`minimax_h3_ref2va_pruned_nvfp4.gguf`	Ref2VA, pruned	11,380,270,144	418	`aa3d1b849da4014eb2f09a07c09c99a416bb16499493bd22778e13e92fba32bb`

Compatibility

These are GGUF files with native NVFP4 tensors. They are not ComfyUI packed-NVFP4 safetensors. They were converted and tested with stable-diffusion.cpp commit ea7f0c8.

The diffusion model is not a complete standalone H3 package. In stable-diffusion.cpp it also needs:

a MiniMax H3 Qwen3-VL text encoder, such as qwen3vl_32b_minimax_h3-Q2_K_M.gguf;
minimax_h3_video_vae_fp16.safetensors;
minimax_h3_audio_vae_fp32.safetensors when generating synchronized audio.

NVFP4 GPU execution requires a compatible Blackwell NVIDIA GPU and a CUDA build whose compiled architectures include the installed device. Other backends may be able to load the GGUF container but are not the target of this release.

Provenance

The source tensors are the official BF16 releases under Comfy-Org/MiniMax-H3:

Source file	Bytes	Official LFS SHA-256
`diffusion_models/minimax_h3_fl2va_bf16.safetensors`	66,280,487,368	`907d4add438438ec1544f5240c3b38532ed934fe6be75677a6bbda2a6fdd6182`
`diffusion_models/minimax_h3_fl2va_pruned_bf16.safetensors`	40,225,724,176	`a32572fb90b5508b201ec7c2eddcc184b13ddfd3c6f6d2cf06a0b46535d541b4`
`diffusion_models/minimax_h3_ref2va_bf16.safetensors`	66,280,487,368	`e32c54c1a7b4f5f397f195cea267ccb18806303bb665678c4bee60953bdf3026`
`diffusion_models/minimax_h3_ref2va_pruned_bf16.safetensors`	40,225,724,176	`37c0da793e20ca735272ec2be655f08a2e10f97a3ec8fdfb40f5b39a736ed6fe`

Conversion command pattern:

sd-cli --mode convert --model SOURCE.safetensors --output OUTPUT.gguf --type nvfp4

Validation

All four files passed the following checks before upload:

official source byte length and LFS SHA-256;
GGUF v3 structure, expected H3 tensor count, and native type-40 NVFP4 tensor inventory;
complete stable-diffusion.cpp load with the Q2 H3 text encoder plus video and audio VAEs;
one-step, 256x256, 9-frame CUDA video generation on an NVIDIA GeForce RTX 5070 Ti (compute capability 12.0);
successful diffusion sampling, VAE decode, and non-empty AVI output.

The full variants exceed 16 GiB if staged as one buffer. They passed with --max-vram 14 --stream-layers; the pruned variants passed with ordinary CPU parameter offload. Low-level backend tests also identified CUDA0 and passed native NVFP4 matrix multiplication plus the supported SM 12.0 flash-attention cases.

License

The upstream MiniMax H3 Community License Agreement is included as LICENSE. Review it before downloading, redistributing, or using these derivatives.

Related artifact

An independently published compatible NVFP4 GGUF exists at convertor/minimax-h3-gguf for the Ref2VA-pruned variant. This repository's purpose is to provide a consistently converted and validated four-variant set.

brurpo/MiniMax-H3-NVFP4-GGUF

MiniMax H3 NVFP4 GGUF

Compatibility

Provenance

Validation

License

Related artifact

brurpo/
MiniMax-H3-NVFP4-GGUF