alt.freeweights.vision / ModernBERT-large-zeroshot-v2.0-ONNX

From:

onnx-community <huggingface.co/onnx-community>Newsgroups: alt.freeweights.visionSubject:

ModernBERT-large-zeroshot-v2.0-ONNX

Date: 2026-11-15Commit: ec09d63Signed: 2DC28CC7B26A283B ✓

Text classification model. Onnx weights, 4.69 GB in all. Published by onnx-community under Apache-2.0.

vision

4.69GBModernBERT-large-zeroshot-v2.0-ONNXonnxpermissive

FactsParamsnot statedSize4.69 GBFormatsonnxTasktext classificationLicenseApache-2.0From sourcepermissive

$ fw get onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX
# manifest sha256 4cfb4bab07b0… · 4.69 GB · 15 files
$ fw verify ./ModernBERT-large-zeroshot-v2.0-ONNX onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX

From sourceHosted (signed)onnx-community/ModernBERT-large-zeroshot-v2.0-ONNXLast check: 2026-11-15 05:28 UTC

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Quantized of ModernBERT-large-zeroshot-v2.0.

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Overview Model card Files Use it License Provenance Model tree

Overview

Size: 4.69 GB
Weights: 297 MB (smallest of 8 ONNX variants)
Parameters: not stated
Formats: onnx
Task: text classification
License: Apache-2.0 (permissive)
Files: 15, each with a sha256
Publisher: onnx-community
Added: 2026-11-15
Section: alt.freeweights.vision

Lineage

Original release from the publisher.

Base model: MoritzLaurer/ModernBERT-large-zeroshot-v2.0

Where these bytes come from

Publisher at the pinned commit→You

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Sources

Badge	Host	Last check	Result
From source	huggingface.co	2026-11-15 05:28 UTC	passed

Model card

From the publisher at commit ec09d63. Shown as plain text with links; images open at the publisher.

ModernBERT-large-zeroshot-v2.0 (ONNX)#

This is an ONNX version of MoritzLaurer/ModernBERT-large-zeroshot-v2.0. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js#

See the pipeline documentation for text-classification: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextClassificationPipeline

ModernBERT-base-zeroshot-v2.0#

Model description#

This model is answerdotai/ModernBERT-large fine-tuned on the same dataset mix as the zeroshot-v2.0 models in the Zeroshot Classifiers Collection.

General takeaways:#

The model is very fast and memory efficient. It's multiple times faster and consumes multiple times less memory than DeBERTav3.

The memory efficiency enables larger batch sizes. I got a ~2x speed increase by enabling bf16 (instead of fp16).

It performs slightly worse then DeBERTav3 on average on the tasks tested below.
I'm in the process of preparing a newer version trained on better synthetic data to make full use of the 8k context window

and to update the training mix of the older zeroshot-v2.0 models.

Training results#

Datasets	Mean	Mean w/o NLI	mnli_m	mnli_mm	fevernli	anli_r1	anli_r2	anli_r3	wanli	lingnli	wellformedquery	rottentomatoes	amazonpolarity	imdb	yelpreviews	hatexplain	massive	banking77	emotiondair	emocontext	empathetic	agnews	yahootopics	biasframes_sex	biasframes_offensive	biasframes_intent	financialphrasebank	appreviews	hateoffensive	trueteacher	spam	wikitoxic_toxicaggregated	wikitoxic_obscene	wikitoxic_identityhate	wikitoxic_threat	wikitoxic_insult	manifesto	capsotu
Accuracy	0.85	0.851	0.942	0.944	0.894	0.812	0.717	0.716	0.836	0.909	0.815	0.899	0.964	0.951	0.984	0.814	0.8	0.744	0.752	0.802	0.544	0.899	0.735	0.934	0.864	0.877	0.913	0.953	0.921	0.821	0.989	0.901	0.927	0.931	0.959	0.911	0.497	0.73
F1 macro	0.834	0.835	0.935	0.938	0.882	0.795	0.688	0.676	0.823	0.898	0.814	0.899	0.964	0.951	0.984	0.77	0.753	0.763	0.69	0.805	0.533	0.899	0.729	0.925	0.864	0.877	0.901	0.953	0.855	0.821	0.983	0.901	0.927	0.931	0.952	0.911	0.362	0.662
Inference text/sec (A100 40GB GPU, batch=32)	1116.0	1104.0	1039.0	1241.0	1138.0	1102.0	1124.0	1133.0	1251.0	1240.0	1263.0	1231.0	1054.0	559.0	795.0	1238.0	1312.0	1285.0	1273.0	1268.0	992.0	1222.0	894.0	1176.0	1194.0	1197.0	1206.0	1166.0	1227.0	541.0	1199.0	1045.0	1054.0	1020.0	1005.0	1063.0	1214.0	1220.0

Training hyperparameters#

The following hyperparameters were used during training:

learning_rate: 9e-06
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 2

Framework versions#

Transformers 4.48.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Files

15 files · 4.69 GBWeights 297 MB (smallest of 8 ONNX variants). Sizes and sha256 from the signed manifest.

Hide all 15 files with their sha256

File	Size	sha256
.gitattributes	1.52 KB	11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md	3.83 KB	eb7f8a7992226a0f7d7f9a8001aa2df1bebcc62160cd1b9d0c52daf759cbc797
config.json	1.55 KB	a0d3db5802168da0c0ac1a9b6428859932c51a5e729e79915a1ed87c1adaa10a
onnx/model.onnx	1.58 GB	cd908c8d97b2e17dd7febd921bf0df457af9b56a26d12651c738be705abcc7d4
onnx/model_bnb4.onnx	401 MB	eaded783d53085e006414edb1edf0b07bb075083efbb10ddc353ed5818583250
onnx/model_fp16.onnx	792 MB	002fa21c9804447a742b7da21822cf56edbd8f1eb2243369c2263b347e2a585a
onnx/model_int8.onnx	398 MB	7604c7e4e3b096c1c0fcf57622ffa9bfbbe26fb5c1f3a4369bcbf399197e4a52
onnx/model_q4.onnx	422 MB	052b626fa0b7c969d3415d2c5066257ed209119d55b6a31ae1dbdeec1f72baf6
onnx/model_q4f16.onnx	297 MB	18ee166da889aa163f49848ad7b46afe96bb2c97f95174b7bfb5333dcb83f844
onnx/model_quantized.onnx	398 MB	7604c7e4e3b096c1c0fcf57622ffa9bfbbe26fb5c1f3a4369bcbf399197e4a52
onnx/model_uint8.onnx	398 MB	5b9a90171f3b46ec1936dcafb2d71b858e5f3215925cc205e04bf3e26c7a972c
quantize_config.json	310 B	9b60b5877b9a1687b5cddbc06124a974cb7536af9dbf5295279bf73c3823170c
special_tokens_map.json	694 B	ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049
tokenizer.json	3.58 MB	6c8aaa9a542084f2457eab775d4eeb51f92a70c0fd9de28d5edb0ddec3c08d30
tokenizer_config.json	20.8 KB	b23670e903ae7ddff4090c4b847274f9cab7da88d67ed1befc64619567e5e715

VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.

Upstream commit	Date	Contents
ec09d6340e pinned now	2026-11-15 05:28 UTC	15 files · 4.69 GB

Use it

$ fw get onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX
# manifest sha256 4cfb4bab07b0… · 4.69 GB · 15 files
$ fw verify ./ModernBERT-large-zeroshot-v2.0-ONNX onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX

fw.pyChecks the signature and every sha256, tries each source in order, resumes.

$ python3 fw.py get https://freeweights.allternit.com/manifests/onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX.json --dir ./ModernBERT-large-zeroshot-v2.0-ONNX
$ python3 fw.py verify ./ModernBERT-large-zeroshot-v2.0-ONNX ./onnx-community__ModernBERT-large-zeroshot-v2.0-ONNX.json

hfThe Hugging Face CLI with one setting. Same repo id.

$ HF_ENDPOINT=https://freeweights.allternit.com hf download onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX --revision ec09d6340e9f131ccca60fbd833668504cfc7230 --local-dir ./ModernBERT-large-zeroshot-v2.0-ONNX

Run at home

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: eb7f8a7992226a0f7d7f9a8001aa2df1bebcc62160cd1b9d0c52daf759cbc797
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:

onnx-community <huggingface.co/onnx-community>Newsgroups: alt.freeweights.visionSubject: ModernBERT-large-zeroshot-v2.0-ONNXDate: 2026-11-15Commit: ec09d63Signed: 2DC28CC7B26A283B ✓

Upstream: onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX
Pinned commit: ec09d6340e9f131ccca60fbd833668504cfc7230
Manifest: ModernBERT-large-zeroshot-v2.0-ONNX.json · .minisig
Manifest sha256: 4cfb4bab07b0dd15d51ad1fc95f070c3e20f8e866be65a72e88906cd204d32ee
Signature: minisign, Ed25519, key 2DC28CC7B26A283B
Created: 2026-11-15 05:28 UTC
Generator: freeweights-manifest/0.1.0
Takedowns: None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX.json
$ curl -O https://freeweights.allternit.com/manifests/onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX.json.minisig
$ minisign -Vm ModernBERT-large-zeroshot-v2.0-ONNX.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

Parent

MoritzLaurer/ModernBERT-large-zeroshot-v2.0 · this model is a quantization of it

No model in the catalog names this one as its parent.

Get it

Download

$ HF_ENDPOINT=https://freeweights.allternit.com hf download onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX

Open in Freeweights Studio

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

Signed manifest

minisign, key 2DC28CC7B26A283B. ModernBERT-large-zeroshot-v2.0-ONNX.json. Provenance. Takedown history: none.

Source

huggingface.co/onnx-community/ModernBERT-large-zeroshot-v2.0-ONNX

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