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

stsb-distilroberta-base

Date: 2026-11-15Commit: 6b71347Signed: 2DC28CC7B26A283B ✓

Text ranking model with 82M parameters. Onnx and openvino and safetensors weights, 3.21 GB in all. Published by cross-encoder under Apache-2.0.

82M params3.21GBstsb-distilroberta-baseonnx openvino safetensorspermissive
FactsParams82MSize3.21 GBFormatsonnx, openvino, safetensorsTasktext rankingLicenseApache-2.0From sourcepermissive
$ fw get cross-encoder/stsb-distilroberta-base
# manifest sha256 f69b32e5b0c5… · 3.21 GB · 25 files
$ fw verify ./stsb-distilroberta-base cross-encoder/stsb-distilroberta-base
From sourceHosted (signed)cross-encoder/stsb-distilroberta-baseLast check: 2026-11-15 04:36 UTC

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

Quantized of distilroberta-base.

Overview

Size
3.21 GB
Weights
328 MB (safetensors)
Parameters
82M
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: distilbert/distilroberta-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 6b71347. 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-distilroberta-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 · 3.21 GBWeights 328 MB (safetensors). Sizes and sha256 from the signed manifest.
Show all 25 files with their sha256
FileSizesha256
.gitattributes445 B98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1
CECorrelationEvaluator_sts-dev_results.csv224 B929ae06135144c8756d14bd3c614bac3fb0dbd60434003b05477c2f22b003cc6
README.md1.15 KB0e43fe5a03cba17bc97bee12630d32ec4462a8362231de954197b378f2e82c3b
config.json607 B4d3d424eb9a2e40b2bc7ae274147f274b031e508de73cdf28e75f759a4360a08
flax_model.msgpack328 MB29a4168dee73825781e655b94755f512bf770699ce84cb986e8ad110941a19ce
merges.txt456 KB1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5
model.safetensors328 MBe3d57386986c234c5d2169722b2ca9aad6bbd2c3703ce85571abf4de51f256a2
onnx/model.onnx329 MB10e20822d3d976a31398e1b54c9c1fb2302bdc6630fe0a54dd8376799a00ced2
onnx/model_O1.onnx329 MB215fd5f405e18d176aa5d6682f9ae5db0fb25ba86b42ed1ce5e6fee69534b401
onnx/model_O2.onnx329 MBd5c509fc0928e8f5094cf7400842300588994c185e29e3d06c38ac9fb93c614a
onnx/model_O3.onnx329 MBc28224afde2d0f6daea8915f32c63162d362a549d03e4eb48b54f7b9260ae627
onnx/model_O4.onnx164 MBe3d266db5cd20e3aa85e524190b5968a757c31485206b13c8dbda7c2edc96a90
onnx/model_qint8_arm64.onnx82.8 MBba3637fd7ebc02785c1117bf68638d157acd4e43abce98cdd7dc5abbcbd23097
onnx/model_qint8_avx512.onnx82.8 MBba3637fd7ebc02785c1117bf68638d157acd4e43abce98cdd7dc5abbcbd23097
onnx/model_qint8_avx512_vnni.onnx82.8 MBba3637fd7ebc02785c1117bf68638d157acd4e43abce98cdd7dc5abbcbd23097
onnx/model_quint8_avx2.onnx82.8 MB9961df0f895e27c8a59fd0a03af94d938acb1c23a779fb765d24790048348cad
openvino/openvino_model.bin328 MBeb11739e3ffc7272703ced78cfff7c46227a7739d65f78b3f44c488ce016b80f
openvino/openvino_model.xml212 KB5b4dc6a3249789ef2bdf555a5ab7fe5d0aafd1ba22fbf499ebba6444b9d8a742
openvino/openvino_model_qint8_quantized.bin82.8 MB2944484faa53b93031399658539b1f82b136db89410f1a48cef388a4424550a6
openvino/openvino_model_qint8_quantized.xml379 KB5050ca35a54651723feb2ddae7e0b1f5c7434fc8cd4eaed356442c62b70d0952
pytorch_model.bin329 MB26b1f4b622b0caeed5d5202e37ade46fd5c8e996cbb842a6c2b501a3537fc0f5
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
6b71347df6 pinned now2026-11-15 04:36 UTC25 files · 3.21 GB

Use it

$ fw get cross-encoder/stsb-distilroberta-base
# manifest sha256 f69b32e5b0c5… · 3.21 GB · 25 files
$ fw verify ./stsb-distilroberta-base cross-encoder/stsb-distilroberta-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-distilroberta-base.json --dir ./stsb-distilroberta-base $ python3 fw.py verify ./stsb-distilroberta-base ./cross-encoder__stsb-distilroberta-base.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download cross-encoder/stsb-distilroberta-base --revision 6b71347df6e2b34246b53e06d6bce70ef67de368 --local-dir ./stsb-distilroberta-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
0e43fe5a03cba17bc97bee12630d32ec4462a8362231de954197b378f2e82c3b
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-distilroberta-baseDate: 2026-11-15Commit: 6b71347Signed: 2DC28CC7B26A283B ✓
Upstream
cross-encoder/stsb-distilroberta-base
Pinned commit
6b71347df6e2b34246b53e06d6bce70ef67de368
Manifest
stsb-distilroberta-base.json · .minisig
Manifest sha256
f69b32e5b0c5df9b9966b1c6e8ea87aa93afb1aaee48a79bb9db5d2e7b21ed41
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-distilroberta-base.json $ curl -O https://freeweights.allternit.com/manifests/cross-encoder/stsb-distilroberta-base.json.minisig $ minisign -Vm stsb-distilroberta-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

distilbert/distilroberta-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-distilroberta-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-distilroberta-base.json. Provenance. Takedown history: none.
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