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README.md
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- ref2va
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- int8
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- convrot
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- turbo
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- h3ddle
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- pulpcut
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@@ -36,24 +37,25 @@ package (Qwen3-VL-32B INT8 text encoder, video/audio VAEs, tokenizer) from
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FL2VA transformer alongside it if you also want prompt-only and keyframe
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generation.
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## H3ddle
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## Why this merge was made and republished
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@@ -139,6 +141,7 @@ of the MiniMax H3 Community License apply unchanged.
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| File | Bytes | SHA-256 |
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| `minimax_h3_ref2va_pruned_turbo_int8_convrot.safetensors` | 20,970,379,854 | `e64cef63bc2785bcd72e6103c52aa78c6cd2c4f9870a7ce79675083fd65cf2e7` |
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| `minimax_h3_ref2va_pruned_turbo_int8_convrot_fc2_input_major.safetensors` | 3,853,522,260 | `0ad6a5673abdf842c39d4d8de7c34c971a420b64bd5f79eb6f4331c5bfb5cd97` |
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## Reproducibility references
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in the H3ddle repository, including the strength-0 self-check used to validate
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the pipeline against the official file.
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The
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[`Scripts/optimize-h3-fc2-sidecar.py`](https://github.com/AlexanderIstomin/h3ddle/blob/main/Scripts/optimize-h3-fc2-sidecar.py).
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## Contact
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- ref2va
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- int8
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- convrot
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- input-major
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- turbo
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- h3ddle
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- pulpcut
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FL2VA transformer alongside it if you also want prompt-only and keyframe
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generation.
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## H3ddle full input-major checkpoint
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`minimax_h3_ref2va_pruned_turbo_int8_convrot_input_major.safetensors` is the
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H3ddle-optimized form of the primary transformer. All 200 quantized core
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projections across 50 blocks are stored `[input, output]` instead of
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`[output, input]`. No tensor is dequantized or numerically changed; scales,
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ConvRot metadata, reference conditioning, and non-core tensors are preserved.
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This layout is selected by a versioned marker and validated against every
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projection shape before H3ddle runs it. It is **not** compatible with runtimes
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that assume the original output-major Comfy layout. The original transformer
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and FC2-only sidecar remain in this repository for those runtimes and for older
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H3ddle releases; current managed installs download only the full input-major
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checkpoint.
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On a 32 GiB M1 Pro, a matched 512x896 reference-conditioned, eight-pass
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generation reduced complete transformer time from 541.2 to 515.3 seconds:
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**4.8%**. Total generation fell from 631.4 to 595.9 seconds, and the generated
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reference output remained good.
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## Why this merge was made and republished
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| File | Bytes | SHA-256 |
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|---|---|---|
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| `minimax_h3_ref2va_pruned_turbo_int8_convrot.safetensors` | 20,970,379,854 | `e64cef63bc2785bcd72e6103c52aa78c6cd2c4f9870a7ce79675083fd65cf2e7` |
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| `minimax_h3_ref2va_pruned_turbo_int8_convrot_input_major.safetensors` | 20,970,380,012 | `5ca6696fe1cd9a8f254594ac67ee541f151b2377735dea3557364bd868270463` |
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| `minimax_h3_ref2va_pruned_turbo_int8_convrot_fc2_input_major.safetensors` | 3,853,522,260 | `0ad6a5673abdf842c39d4d8de7c34c971a420b64bd5f79eb6f4331c5bfb5cd97` |
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## Reproducibility references
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in the H3ddle repository, including the strength-0 self-check used to validate
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the pipeline against the official file.
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The full optimized layout is reproducible with
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[`Scripts/repack-h3-input-major.py`](https://github.com/AlexanderIstomin/h3ddle/blob/main/Scripts/repack-h3-input-major.py).
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The legacy FC2 sidecar is reproducible with
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[`Scripts/optimize-h3-fc2-sidecar.py`](https://github.com/AlexanderIstomin/h3ddle/blob/main/Scripts/optimize-h3-fc2-sidecar.py).
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## Contact
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minimax_h3_ref2va_pruned_turbo_int8_convrot_input_major.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ca6696fe1cd9a8f254594ac67ee541f151b2377735dea3557364bd868270463
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size 20970380012
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