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

quora-roberta-base

Date: 2026-11-15Commit: 86e2599Signed: 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 params4.87GBquora-roberta-baseonnx openvino safetensorspermissive
FactsParams125MSize4.87 GBFormatsonnx, openvino, safetensorsTasktext rankingLicenseApache-2.0From sourcepermissive
$ fw get cross-encoder/quora-roberta-base
# manifest sha256 cacfb3854219… · 4.87 GB · 25 files
$ fw verify ./quora-roberta-base cross-encoder/quora-roberta-base
From sourceHosted (signed)cross-encoder/quora-roberta-baseLast check: 2026-11-15 05:05 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 05:05 UTCpassed

Model card

From the publisher at commit 86e2599. Shown as plain text with links; images open at the publisher.

Cross-Encoder for Quora Duplicate Questions Detection#

This model was trained using SentenceTransformers Cross-Encoder class.

Training Data#

This model was trained on the Quora Duplicate Questions dataset. The model will predict a score between 0 and 1 how likely the two given questions are duplicates.

Note: The model is not suitable to estimate the similarity of questions, e.g. the two questions "How to learn Java" and "How to learn Python" will result in a rather low score, as these are not duplicates.

Usage and Performance#

Pre-trained models can be used like this:

from sentence_transformers import CrossEncoder

model = CrossEncoder('cross-encoder/quora-roberta-base')
scores = model.predict([('Question 1', 'Question 2'), ('Question 3', 'Question 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
CEBinaryClassificationEvaluator_Quora-dev_results.csv2.07 KB5d44d9245e6f8fa9dac6c3c8f638be3de99419b88e5582dda6ab479e2d6e8790
README.md1.29 KB3951dca8e963a200a4beead712f6e3188efebcf3d79ad8a6109cd3c1b11e4504
config.json608 B8c50d3f5de660e595ff1f94d199984de19c51d0a8e7d26e692d6c52c18e20562
flax_model.msgpack499 MBa7e3f35ee5fa4bbd55ddee08e12bdbe19fcec65d978d5df08bccacd206964e4f
merges.txt456 KB1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5
model.safetensors499 MB746da6a97a533563fac5862d54b20fe24550c3e43672ab086542cd17c18f9148
onnx/model.onnx499 MB54d46af47d58e81400db15a553fed543bd1b02a3ebba6cdf194a0c6ced6714cb
onnx/model_O1.onnx499 MB3015194265815fa638a7339afa9ae888c6e38d69f1b711698f1b894e2bcc109f
onnx/model_O2.onnx499 MBf897eac0ad72f28674212d04c607d33cf85f63d8240d60a643a94e3e31555a73
onnx/model_O3.onnx499 MBb7772a18043c86686b1c862c7bece1274f73f2e5cea1af74f24c25dc6cce80d3
onnx/model_O4.onnx249 MB13c753d011621d622a6afa18c173779d9f4ad1de5ec8801493ee6edfe93c0297
onnx/model_qint8_arm64.onnx126 MBf11ae2b71d9c51757c6842582352dbba3757dc56ca7ecaad09137250c59352a5
onnx/model_qint8_avx512.onnx126 MBf11ae2b71d9c51757c6842582352dbba3757dc56ca7ecaad09137250c59352a5
onnx/model_qint8_avx512_vnni.onnx126 MBf11ae2b71d9c51757c6842582352dbba3757dc56ca7ecaad09137250c59352a5
onnx/model_quint8_avx2.onnx126 MBf483440ba8e675c2d152249374a5537fa04f30a5564ae5c0f50c479ab3e280e6
openvino/openvino_model.bin499 MBf89c2a8f546aad6d4b6cf36000112e5e7d5921a6799f6dd502739e1bfa6b9409
openvino/openvino_model.xml390 KB08c2d709f2721a3d00dfb60fffcc1c31b241a2ab515cd1a5d8cd58a8028ff2b0
openvino/openvino_model_qint8_quantized.bin126 MB05d5819f8e13bf7d32b2bd6c8206a3d5852eb36ba4c3207406f201e5036ca469
openvino/openvino_model_qint8_quantized.xml712 KBd6477a1800b889d8138b0d1c5833417693714e763c5eb40273a4537df8b7f035
pytorch_model.bin499 MBfbebb63aa533e7d3b68b2e0d205287523fff83ab36e434003d55f855e699acc6
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
86e2599701 pinned now2026-11-15 05:05 UTC25 files · 4.87 GB

Use it

$ fw get cross-encoder/quora-roberta-base
# manifest sha256 cacfb3854219… · 4.87 GB · 25 files
$ fw verify ./quora-roberta-base cross-encoder/quora-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/quora-roberta-base.json --dir ./quora-roberta-base $ python3 fw.py verify ./quora-roberta-base ./cross-encoder__quora-roberta-base.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download cross-encoder/quora-roberta-base --revision 86e2599701ff4f66fba25493db9602f884f73f16 --local-dir ./quora-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
3951dca8e963a200a4beead712f6e3188efebcf3d79ad8a6109cd3c1b11e4504
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: quora-roberta-baseDate: 2026-11-15Commit: 86e2599Signed: 2DC28CC7B26A283B ✓
Upstream
cross-encoder/quora-roberta-base
Pinned commit
86e2599701ff4f66fba25493db9602f884f73f16
Manifest
quora-roberta-base.json · .minisig
Manifest sha256
cacfb3854219671101245bddc59b63671d3cf333eca7abd3005170a2300710be
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 05:05 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/cross-encoder/quora-roberta-base.json $ curl -O https://freeweights.allternit.com/manifests/cross-encoder/quora-roberta-base.json.minisig $ minisign -Vm quora-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/quora-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. quora-roberta-base.json. Provenance. Takedown history: none.
Source
huggingface.co/cross-encoder/quora-roberta-base

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