10Eros Max MiniMax-H3 Dynamic Time / Separate QKV
Patch-required FL2VA checkpoint for the 10Eros_Max fine-tune of
MiniMaxAI/MiniMax-H3.
This is the dynamic-time, physically separate-Q/K/V counterpart of the
stock-compatible 10Eros_Max INT8 checkpoint. It retains the original FP32 time
MLP and dynamic rank-16 AdaLN path instead of using an adaln_t_table.
A ComfyUI core patch is required. Stock ComfyUI cannot load this file.
The compatible patch and its base-model documentation are maintained in
MiniMax-H3-DynTime-sQKV.
Download
ComfyUI-MiniMax-H3-DT-sQKV.patch
from that repository. The patch is deliberately not duplicated here.
This is a community conversion, not an official MiniMax or ComfyOrg release.
Download
| Profile | Direct download | File size | Intended hardware |
|---|---|---|---|
| DT-sQKV INT8 ConvRot | FL2VA | 20.999 GiB | 24 GB · RTX 30/40. Quality-oriented experimental profile; workflow peak VRAM may still require offload. |
Layout
| Property | This checkpoint | Stock-compatible 10Eros_Max quants |
|---|---|---|
| Time conditioning | Original FP32 time_embedder MLP plus dynamic rank-16 AdaLN basis/mean | Rank-16 FP32, 4,097-point adaln_t_table |
| Attention input projections | Physical q_proj, k_proj, and v_proj tensors | Fused qkv_proj = cat(Q,K,V) |
| Main-matrix policy | 170 INT8 ConvRot + 30 BF16 semantic matrices | Depends on selected stock profile |
| Physical quantized modules | 270 INT8 modules because Q/K/V are separate | 170 INT8 modules in the matching fused profile |
| Token refiner | Eight BF16 matrices | Eight BF16 matrices in the matching INT8 profile |
| ComfyUI compatibility | Core patch required | Stock ComfyUI |
All 50 MiniMax-H3 transformer blocks remain present. This layout preserves the runtime time-conditioning calculation and avoids fusing Q, K, and V. It does not add model capacity; it changes how the original computation is represented and loaded.
Checkpoint size is not full-workflow peak VRAM. Resolution, frame count, attention backend, the Qwen3-VL text encoder, VAEs, and offload settings also consume memory.
Fine-tune conversion
The supplied full-width BF16 checkpoint was compared tensor-by-tensor with the local original MiniMax-H3 FL2VA source:
- all 535 expected tensors and all 50 blocks were present;
- shapes and dtypes matched the full-width architecture;
- no NaN or Inf values were found;
- 503 tensors were bit-identical to the original source;
- the intentional fine-tune consisted of 32 modified fused-QKV tensors in blocks 0–31.
For this checkpoint, each modified fused-QKV tensor was quantized with the same tensorwise INT8 ConvRot/Hadamard recipe used by the matching base profile, then split on exact Q/K/V row boundaries. Q, K, and V use independent per-row FP32 scales and quantization configuration tensors. A control comparison confirmed that the split payload is bit-identical to independently quantizing the three projections with the current quantizer.
Every tensor outside the permitted Q/K/V weight, scale, and configuration ranges remains byte-identical to the corresponding base DT-sQKV checkpoint.
Validation status
The file passed an independent byte-range audit:
- file size, safetensors header, key inventory, shapes, and dtypes match the corresponding DT-sQKV reference checkpoint;
- every byte outside Q/K/V ranges in blocks 0–31 remains identical to the reference;
- all 288 replaced tensors match the separately generated 10Eros_Max payload;
- modified weights differ from the base reference as expected.
Conversion and audit were CPU-only. No prompt-to-decoded-video perceptual A/B result is claimed yet. This validation proves container and conversion correctness, not subjective image or motion quality.
Installation
- Back up or commit your ComfyUI core changes.
- Download the linked core patch and verify it with
git apply --checkfrom the ComfyUI repository root before applying it. - Place the checkpoint in
ComfyUI/models/diffusion_models/. - Restart ComfyUI and use the normal MiniMax-H3 FL2VA workflow.
The Qwen3-VL text encoder and the MiniMax-H3 video/audio VAEs are required but are not duplicated here.
License and attribution
Use is subject to the included MiniMax-H3 Community License Agreement. The base model is by MiniMax. The BF16 fine-tune was supplied under the name 10Eros_Max; this repository provides a quantized conversion and does not claim authorship of the fine-tune itself.