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alt.freeweights.vision / stsb-roberta-base
From: cross-encoder <huggingface.co/cross-encoder>Newsgroups: alt.freeweights.visionSubject:

stsb-roberta-base

Date: 2026-11-15Commit: d576534Signed: 2DC28CC7B26A283B ✓

Text ranking model with 125M parameters. Onnx and openvino and safetensors weights, 4.87 GB in all. Published by cross-encoder under Apache-2.0.

125M params4.87GBstsb-roberta-baseonnx openvino safetensorspermissive
FactsParams125MSize4.87 GBFormatsonnx, openvino, safetensorsTasktext rankingLicenseApache-2.0From sourcepermissive
$ fw get cross-encoder/stsb-roberta-base
# manifest sha256 3102742067f7… · 4.87 GB · 25 files
$ fw verify ./stsb-roberta-base cross-encoder/stsb-roberta-base
From sourceHosted (signed)cross-encoder/stsb-roberta-baseLast check: 2026-11-15 04:36 UTC
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Quantized of roberta-base.

Runs withBentoMLCTranslate2ExLlamaV2LitServeLocalAIOpenVINOText Embeddings InferencetinygradTransformersTriton Inference ServerUltralyticsFine-tune withAccelerateDeepSpeedJAXKerasPyTorch Lightningsd-scriptsSentence TransformersSimpleTunerConvert withCore ML ToolsExecuTorchOliveONNXOptimum QuantoOptimumsafetensorstorchaoEvaluate withMTEBScan withModelScanpicklescanWorks withChromaFAISSFlagEmbeddinghnswlibInfinitykotaemonLightRAGMilvuspgvectorpgvectorscaleQdrantRAGFlowsqlite-vectxtaiTypesenseWeaviate
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
4.87 GB
Weights
499 MB (safetensors)
Parameters
125M
Formats
onnx, openvino, safetensors
Task
text ranking
License
Apache-2.0 (permissive)
Files
25, each with a sha256
Publisher
cross-encoder
Added
2026-11-15
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Base model: FacebookAI/roberta-base

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 04:36 UTCpassed

Model card

From the publisher at commit d576534. Shown as plain text with links; images open at the publisher.

Cross-Encoder for Semantic Textual Similarity#

This model was trained using SentenceTransformers Cross-Encoder class.

Training Data#

This model was trained on the STS benchmark dataset. The model will predict a score between 0 and 1 how for the semantic similarity of two sentences.

Usage and Performance#

Pre-trained models can be used like this:

from sentence_transformers import CrossEncoder

model = CrossEncoder('cross-encoder/stsb-roberta-base')
scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])

The model will predict scores for the pairs ('Sentence 1', 'Sentence 2') and ('Sentence 3', 'Sentence 4').

You can use this model also without sentence_transformers and by just using Transformers AutoModel class

Files

25 files · 4.87 GBWeights 499 MB (safetensors). Sizes and sha256 from the signed manifest.
Show all 25 files with their sha256
FileSizesha256
.gitattributes445 B98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1
CECorrelationEvaluator_sts-dev_results.csv310 Bc205711dba4dac59b2730e4b87e14213d2368362e3f3e601e0741eedef34c6d8
README.md1.14 KBbfdfd87a1a11cabb2907c7e77866918e075e77690996605539ec7b5d54b3b1e6
config.json608 B8c50d3f5de660e595ff1f94d199984de19c51d0a8e7d26e692d6c52c18e20562
flax_model.msgpack499 MB768905d4b87ebefec4c819d9a36518802db21df7fc2d9e8ce7cb47ed3875283f
merges.txt456 KB1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5
model.safetensors499 MB130e4eac117036a5803c3f832e95185b558d341cb9c4e576975614d8b1340ef7
onnx/model.onnx499 MBc82166bb8dc6c022fb94e8aa7e7b0af4240cbfcbf8f29a58a5d26dcac5146711
onnx/model_O1.onnx499 MB2c1d4fdfa85014dc12cf3cffd1ec7e63bee02c0c93ac17d0181732b68112b9b7
onnx/model_O2.onnx499 MBae90e2d6fd8ab7708d2a857cc8d73df004ac5547ddec0babbb1288e2fb0e4baa
onnx/model_O3.onnx499 MB6ff18d82c77ea2c1c63aefab366c334bd1fe122626cdacd12c375114eba7d5ec
onnx/model_O4.onnx249 MB82678eb4507e362812e44a803a7f2d3849f58f03ae22035e3fc4b6c3c45ed99c
onnx/model_qint8_arm64.onnx126 MB8b44d8ffa6775a7712e9f592b8a33162b3c183fedaeb2399bd0e2e40a5ddbd16
onnx/model_qint8_avx512.onnx126 MB8b44d8ffa6775a7712e9f592b8a33162b3c183fedaeb2399bd0e2e40a5ddbd16
onnx/model_qint8_avx512_vnni.onnx126 MB8b44d8ffa6775a7712e9f592b8a33162b3c183fedaeb2399bd0e2e40a5ddbd16
onnx/model_quint8_avx2.onnx126 MBecca55ec425a68accbb9796cf65351332d9e5cdb42a291f66a90b6e9dffd38ce
openvino/openvino_model.bin499 MB4153ca3905be859cb0d13e718fdf31413c569b00a0c3f7b3875f485377921bca
openvino/openvino_model.xml390 KB3cee6cc3bc6f8935fc37cc7781bbddc3c5b5281ff861acca534559a2f8cb7c1b
openvino/openvino_model_qint8_quantized.bin126 MBfc01458a7eef642064bbefbc7c84f867b3eaec921468520821332f428e7dad21
openvino/openvino_model_qint8_quantized.xml711 KBfe72dc21230a3d8b5b5df6c39ab97059f1b52cb9675e6036b2cc9893103dab2b
pytorch_model.bin499 MBbd8cddb9f6ddf924f91a1cc3c2bf83973a483a936654259d389ed1e7c56711d2
special_tokens_map.json1.01 KB75cbec71553267dadc77a583ef15122c2aa7422eb6635acc72a184a413f17c1c
tokenizer.json3.56 MB2bb1a22cfbe25b8e5a232b7fc4d7fc5073923b45724a5f813b00811bb6620f66
tokenizer_config.json1.33 KBfe09e6fe347cc94002f77bec394efa02db0ac151393f940d0d854af765e8b165
vocab.json798 KBed19656ea1707df69134c4af35c8ceda2cc9860bf2c3495026153a133670ab5e
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
d576534b67 pinned now2026-11-15 04:36 UTC25 files · 4.87 GB

Use it

$ fw get cross-encoder/stsb-roberta-base
# manifest sha256 3102742067f7… · 4.87 GB · 25 files
$ fw verify ./stsb-roberta-base cross-encoder/stsb-roberta-base
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/cross-encoder/stsb-roberta-base.json --dir ./stsb-roberta-base $ python3 fw.py verify ./stsb-roberta-base ./cross-encoder__stsb-roberta-base.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download cross-encoder/stsb-roberta-base --revision d576534b67143e2c70ee9966d7fdbf5835728d13 --local-dir ./stsb-roberta-base

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
bfdfd87a1a11cabb2907c7e77866918e075e77690996605539ec7b5d54b3b1e6
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: cross-encoder <huggingface.co/cross-encoder>Newsgroups: alt.freeweights.visionSubject: stsb-roberta-baseDate: 2026-11-15Commit: d576534Signed: 2DC28CC7B26A283B ✓
Upstream
cross-encoder/stsb-roberta-base
Pinned commit
d576534b67143e2c70ee9966d7fdbf5835728d13
Manifest
stsb-roberta-base.json · .minisig
Manifest sha256
3102742067f7c7d70286414d11aad49e6f18fa3a624a9fed07356ecbe53a4693
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 04:36 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/cross-encoder/stsb-roberta-base.json $ curl -O https://freeweights.allternit.com/manifests/cross-encoder/stsb-roberta-base.json.minisig $ minisign -Vm stsb-roberta-base.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

FacebookAI/roberta-base · 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 cross-encoder/stsb-roberta-base
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. stsb-roberta-base.json. Provenance. Takedown history: none.
Source
huggingface.co/cross-encoder/stsb-roberta-base

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