From: OleehyO <huggingface.co/OleehyO>Newsgroups: alt.freeweights.visionSubject:

TexTeller

Date: 2026-11-15Commit: 7b96df0Signed: 2DC28CC7B26A283B ✓

Image to text model with 298M parameters. Onnx and safetensors weights, 5.38 GB in all. Published by OleehyO under Apache-2.0.

298M params5.38GBTexTelleronnx safetensorspermissive
FactsParams298MSize5.38 GBFormatsonnx, safetensorsTaskimage to textLicenseApache-2.0From sourcepermissive
$ fw get OleehyO/TexTeller
# manifest sha256 3517ca42c8b6… · 5.38 GB · 17 files
$ fw verify ./TexTeller OleehyO/TexTeller
From sourceHosted (signed)OleehyO/TexTellerLast check: 2026-11-15 02:47 UTC

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Works with

Overview

Size
5.38 GB
Weights
1.19 GB (safetensors)
Parameters
298M
Formats
onnx, safetensors
Task
image to text
License
Apache-2.0 (permissive)
Files
17, each with a sha256
Publisher
OleehyO
Added
2026-11-15
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 02:47 UTCpassed

Model card

From the publisher at commit 7b96df0. Shown as plain text with links; images open at the publisher.

中文版本

About TexTeller#

  • 📮[2024-03-25] TexTeller 2.0 released! The training data for TexTeller 2.0 has been increased to 7.5M (about 15 times more than TexTeller 1.0 and also improved in data quality). The trained TexTeller 2.0 demonstrated superior performance in the test set, especially in recognizing rare symbols, complex multi-line formulas, and matrices. > There are more test images here and a horizontal comparison of recognition models from different companies.

TexTeller is a ViT-based model designed for end-to-end formula recognition. It can recognize formulas in natural images and convert them into LaTeX-style formulas.

TexTeller is trained on a larger dataset of image-formula pairs (a 550K dataset available here), exhibits superior generalization ability and higher accuracy compared to LaTeX-OCR, which uses approximately 100K data points. This larger dataset enables TexTeller to cover most usage scenarios more effectively.

For more details, please refer to the 𝐓𝐞𝐱𝐓𝐞𝐥𝐥𝐞𝐫 GitHub repository.

Files

17 files · 5.38 GBWeights 1.19 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 17 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md1.46 KBac635a57419f02053817d7aa6922db9afffa563af8f7bcf1bd92775d99207ba4
README_zh.md1.06 KBd2b154743817afda5968344498a811e2a7415cf522b8b44f2d448ff8d175e39f
added_tokens.json56.0 KB7e88a0bc018da0461d442e43efdb9c36d0c9ccee4ee77040435a6393c4dc0f0e
config.json4.50 KBae1df4b712a25df6cbf0441d0e5602cee139f3f371c1b3555274db7aed2c0135
decoder_model.onnx909 MB288cb8e37cdda66f725f2739efd2e7846636666a815e27533891c68389ec3659
decoder_model_merged.onnx909 MB8b78f10f67da98528fb507977f6d041fe0a8fb486a56b2132156f93b2d5de575
decoder_with_past_model.onnx833 MBce6b93ffcabf1689d91cc17f217d9065a92af14bcce47f8aa4ae8c798c7882fd
encoder_model.onnx344 MB071afc0a0c92b2ee3847612127eb9e82b1c39413725e692f4405e5ea9e265bf0
generation_config.json154 Bdce3cbe591ed7fc9d9ea9c588697e9e3a05248446343cf1682df309c013d5ab7
merges.txt70.9 KBeb70ce440ef4f767138b2022ea31a6143d782f52757ae926c1d1f2182300fd0e
model.safetensors1.19 GB6d535b29f94de294f6d82cb777285379480672cbe396bbd645840eda56b2c407
pytorch_model.bin1.19 GBa70aea8f7460825af5b917ba6ab6f0e40bdff7a6ca0a10d130b81d59ddf11602
special_tokens_map.json958 Bf23c8e6099631c233c16d9bf8dab198f610826cdd1b358f270f6d55c1863e857
tokenizer.json1.04 MB3fd70ac72edab8213b7dd13271b3c69b6c2252ab3e04f8045939dad0847309be
tokenizer_config.json593 KBe29bfc0a816ca61b2752c1ce9bfcaea633324ea418fa7ead6feba0d1e8f8efe0
vocab.json147 KB6c5fdc7c688b7da8ca9f6abca73ff2c12c08e14386461daf9af1f0716b31e359
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
7b96df06b9 pinned now2026-11-15 02:47 UTC17 files · 5.38 GB

Use it

$ fw get OleehyO/TexTeller
# manifest sha256 3517ca42c8b6… · 5.38 GB · 17 files
$ fw verify ./TexTeller OleehyO/TexTeller
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/OleehyO/TexTeller.json --dir ./TexTeller $ python3 fw.py verify ./TexTeller ./OleehyO__TexTeller.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download OleehyO/TexTeller --revision 7b96df06b9d81cdb129c3bef68b7250bc3e2b0ea --local-dir ./TexTeller

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
README.md
Text sha256
ac635a57419f02053817d7aa6922db9afffa563af8f7bcf1bd92775d99207ba4
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: OleehyO <huggingface.co/OleehyO>Newsgroups: alt.freeweights.visionSubject: TexTellerDate: 2026-11-15Commit: 7b96df0Signed: 2DC28CC7B26A283B ✓
Upstream
OleehyO/TexTeller
Pinned commit
7b96df06b9d81cdb129c3bef68b7250bc3e2b0ea
Manifest
TexTeller.json · .minisig
Manifest sha256
3517ca42c8b6bd4cdc58d0ae6ec65dd9b5fb47f47e3402fa9a7d56116f3303e7
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 02:47 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/OleehyO/TexTeller.json $ curl -O https://freeweights.allternit.com/manifests/OleehyO/TexTeller.json.minisig $ minisign -Vm TexTeller.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

2 models in the catalog name this one as their parent.

Quantizations
2
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download OleehyO/TexTeller
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. TexTeller.json. Provenance. Takedown history: none.

Variants

2 quantized or adapter builds of TexTeller. Each has its own license check and page.

From: dima806 <huggingface.co/dima806>Subject: ai_vs_real_image_detection
From: legekka <huggingface.co/legekka>Subject: AI-Anime-Image-Detector-ViT
From: onnx-community <huggingface.co/onnx-community>Subject: AI-Anime-Image-Detector-ViT-ONNX
From: AICodexLab <huggingface.co/AICodexLab>Subject: answerdotai-ModernBERT-base-ai-detector
From: onnx-community <huggingface.co/onnx-community>Subject: answerdotai-ModernBERT-base-ai-detector-ONNX
From: onnx-community <huggingface.co/onnx-community>Subject: bart-large-cnn-ONNX