2026-09-22: layout_fp32.onnx, layout_fp16_batchable.onnx, ocr_det.onnx, ocr_rec_tiny_fp32.onnx, ocr_rec_tiny_fp16.onnx, table_encoder.onnx, table_decoder.bin, formula_encoder.onnx, formula_decoder.onnx, formula_decoder_past.onnx, formula_tokenizer.json

LICENSE-texo

@@ -0,0 +1,673 @@
+The `formula` slot serves alephpi/Texo — the `transfer` model of
+https://github.com/alephpi/Texo (weights: https://huggingface.co/alephpi/FormulaNet,
+revision b2668efe5112082846fde4d446b9bfaab3989533; code at commit 7773a3e) —
+as the three ONNX graphs `scripts/models/export_texo.py` produces with
+optimum from the unmodified checkpoint (formula_encoder, formula_decoder,
+formula_decoder_past) plus its tokenizer (formula/1/tokenizer.json).
+Texo's code and weights are AGPL-3.0, reproduced below. No part of Texo is
+modified by this repository: the export recipe and the Triton Python model
+around the graphs (formula/1/model.py: preprocessing, greedy decode loop)
+are this project's, and the weights are never committed here
+(models/MANIFEST.toml lists their hashes and provenance).
+
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+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published
+    by the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

MANIFEST.txt

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+45bf71750b00739a41fc209f132eb104a4d6b5bb29483c9078164d8b87cf28ba  layout_fp32.onnx
+1ca9480da1b2ac3bd374fd4e0f9145808d0916246b656bd139045bd0ccbf852d  layout_fp16_batchable.onnx
+eb13b44b25bb36f89528b68720af8a61d9cf381176107f465db1757b65d086e1  ocr_det.onnx
+9ef676d6ed3c88256a2d92c640c44f25b0c40947e111b14b8be8f594091563e6  ocr_rec_tiny_fp32.onnx
+4831ab3e84fc176b8a0839da81076a550301a7468f3c3eb3e9b3cdb8e8721cad  ocr_rec_tiny_fp16.onnx
+7e32c7e7e5b9c43dd11880749928c00a7cb22e074c378a01e1df9352c1b9f9b5  table_encoder.onnx
+f4b9f9b2d3fd5e85aebc839ebcd6bb5b27863077cc2b77c8e0a7ca01c6c0542d  table_decoder.bin
+9d0c79aa80f813688f6b59ef29e3bd71af89a8623cd9cdf8236606ad671231d4  formula_encoder.onnx
+e6b449a8398ad5c6241c0148d6487c959f232fe7c8ca1c48aaf8b949f1228df4  formula_decoder.onnx
+e15ec5bd9998b919dbf69581434dc0342534856097775487d6663c86544c8819  formula_decoder_past.onnx
+1240f9d178e1ad2a0076fe95ba62e332871c702accdd5ce3ae3ef33ffd6c3a1e  formula_tokenizer.json

README.md

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+---
+license: other
+license_name: apache-2.0-and-agpl-3.0
+license_link: https://www.apache.org/licenses/LICENSE-2.0
+tags:
+- onnx
+- document-parsing
+- layout-analysis
+- ocr
+- table-structure-recognition
+- formula-recognition
+---
+
+# docparser-models
+
+Every model file [DocParser](https://github.com/docparser-rs) (a Rust
+document-parsing engine: Triton serving + an in-process ONNX Runtime
+backend) loads, flat, one commit per deployment. The checkout's
+`models/MANIFEST.toml` pins a commit and maps each file to its place in
+the Triton model repository; `scripts/fetch-models.sh` downloads and
+verifies them against `MANIFEST.txt` here (sha256 per file). Nothing is
+trained here: the files are PaddlePaddle's own ONNX exports, scripted
+derivations of them, and Texo's optimum export.
+
+| File | What | Provenance | Licence |
+| --- | --- | --- | --- |
+| `layout_fp32.onnx` | PP-DocLayoutV3 (RT-DETR-L, 25 classes + reading order), FP32 | bit-identical copy of [`PaddlePaddle/PP-DocLayoutV3_onnx`](https://huggingface.co/PaddlePaddle/PP-DocLayoutV3_onnx) `inference.onnx` @ `46bbdf18` (sha256 `45bf7175…`) | Apache-2.0 |
+| `layout_fp16_batchable.onnx` | the same, output reshaped to `[B,300,7]` and converted to FP16 (GridSample / NMS kept FP32) for Triton batching on TensorRT | `scripts/models/batchable_layout.py` + `convert_fp16.py` over the file above (onnx 1.21, onnxconverter-common 1.16) | Apache-2.0 |
+| `ocr_det.onnx` | PP-OCRv6 text detection, medium tier | bit-identical copy of [`PaddlePaddle/PP-OCRv6_medium_det_onnx`](https://huggingface.co/PaddlePaddle/PP-OCRv6_medium_det_onnx) `inference.onnx` @ `61323801` (`eb13b44b…`) | Apache-2.0 |
+| `ocr_rec_tiny_fp32.onnx` | PP-OCRv6 text recognition, tiny tier (6906-way CTC) | bit-identical copy of [`PaddlePaddle/PP-OCRv6_tiny_rec_onnx`](https://huggingface.co/PaddlePaddle/PP-OCRv6_tiny_rec_onnx) `inference.onnx` @ `2612ab37` (`9ef676d6…`) | Apache-2.0 |
+| `ocr_rec_tiny_fp16.onnx` | the same in FP16 | `convert_fp16.py` over the file above | Apache-2.0 |
+| `table_encoder.onnx` | SLANet-Plus encoder (PP-LCNet), the official graph up to the GRU loop's feature input | `onnx.utils.extract_model` over [`PaddlePaddle/SLANet_plus_onnx`](https://huggingface.co/PaddlePaddle/SLANet_plus_onnx) `inference.onnx` @ `7dbe640e` (`7790c0c1…`) — `scripts/models/export_slanet_plus.py::extract_encoder` | Apache-2.0 |
+| `table_decoder.bin` | the GRU decoder's 16 parameter tensors as float32 (DocParser's host decoder) | `export_slanet_plus.py::dump_decoder` over the same file; byte-identical to TurboOCR's `SLANeXt_wired_decoder.bin` (`f4b9f9b2…`) | Apache-2.0 |
+| `formula_encoder.onnx`, `formula_decoder.onnx`, `formula_decoder_past.onnx`, `formula_tokenizer.json` | [Texo](https://github.com/alephpi/Texo) `transfer` (20M): HGNetV2 encoder, MBart decoder without / with KV cache, tokenizer (687 tokens) | optimum `image-to-text-with-past` export of `alephpi/FormulaNet` @ `b2668efe` (`scripts/models/export_texo.py`; torch 2.14, transformers 4.57.6, optimum 2.1.0, opset 18) | **AGPL-3.0** (`LICENSE-texo`) |
+
+Contracts (inputs, normalisation, post-processing) follow each source's
+`inference.yml`; the pre/post-processing code is in the DocParser checkout
+(`crates/docparser-inference/src/preprocess/`,
+`deploy/triton_model_repository/`). The CTC dictionary of the recogniser is
+a text file in that checkout, not here. Why these models and not their
+siblings is measured in `docparser-bench/docs/BENCH-2026-09.md` (OmniDocBench
+v1.6 §8, the per-slot ablations §1–7).
+
+Redistribution: the Apache-2.0 files under their licence with this
+attribution; Texo's files under the AGPL-3.0, whose text is `LICENSE-texo`.

formula_decoder.onnx

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+size 25860950

formula_decoder_past.onnx

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+size 20339981

formula_encoder.onnx

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+size 54168562

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