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

quora-roberta-large

Date: 2026-11-15Commit: d3f224fSigned: 2DC28CC7B26A283B ✓

Text ranking model with 355M parameters. Onnx and openvino and safetensors weights, 13.9 GB in all. Published by cross-encoder under Apache-2.0.

355M params13.9GBquora-roberta-largeonnx openvino safetensorspermissive
FactsParams355MSize13.9 GBFormatsonnx, openvino, safetensorsTasktext rankingLicenseApache-2.0From sourcepermissive
$ fw get cross-encoder/quora-roberta-large
# manifest sha256 62dca33f7cbd… · 13.9 GB · 25 files
$ fw verify ./quora-roberta-large cross-encoder/quora-roberta-large
From sourceHosted (signed)cross-encoder/quora-roberta-largeLast check: 2026-11-15 05:11 UTC
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Quantized of roberta-large.

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
13.9 GB
Weights
1.42 GB (safetensors)
Parameters
355M
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-large

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 05:11 UTCpassed

Model card

From the publisher at commit d3f224f. 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-large')
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 · 13.9 GBWeights 1.42 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 25 files with their sha256
FileSizesha256
.gitattributes445 B98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1
CEBinaryClassificationEvaluator_Quora-dev_results.csv2.08 KB3af09462db2788ee35b33c6029e9522c2af42088a5272d72261229efad65ec1b
README.md1.29 KB98fe754750534d3e7a1df9c9e4be756569e4145ab8fec1eb76e8c1477a73aafb
config.json629 Bbbb09aa22781fd4b7357c209b93266022fadba91af9e81ba7820f6a5af6dfc9d
flax_model.msgpack1.42 GB6255235e35f928554c2a339d9cbfc3c34992670ca1b713ab56bac32079d8bb63
merges.txt456 KB1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5
model.safetensors1.42 GB494d0c28d907f5c1a899243a841e0303556f1c566faec6d885e233f00991d11a
onnx/model.onnx1.42 GB8ff7d89da57f09f513f786c533532ffba32f743d70ad1190c85493b48da2289a
onnx/model_O1.onnx1.42 GBd2a4033a3e82bf3496f1093de9b5c34e875f583ad28b7d82255b289eee75bc24
onnx/model_O2.onnx1.42 GB5350eb94c12b098b01d67d953097686f992b9a6f17bd8081b69792d32a39fd94
onnx/model_O3.onnx1.42 GB391b4012b24321ce8a45c77cbf6d92d9bcde3a100a3d69ae2e86c96f05b5d9a7
onnx/model_O4.onnx711 MB227c1a085f70223fc7fd99edb670b1a77e1cc68f2582fc31eff34a63d4c04ca7
onnx/model_qint8_arm64.onnx359 MBd3f234afa2e224b4913f291e26fd8d89db614ae0b4ff1313f4b44d96ce92ce2d
onnx/model_qint8_avx512.onnx359 MBd3f234afa2e224b4913f291e26fd8d89db614ae0b4ff1313f4b44d96ce92ce2d
onnx/model_qint8_avx512_vnni.onnx359 MBd3f234afa2e224b4913f291e26fd8d89db614ae0b4ff1313f4b44d96ce92ce2d
onnx/model_quint8_avx2.onnx359 MB53ad36c580f67cab3188e0425473fd93ea6af2424b7185b0b7c8da1a9a95bb3c
openvino/openvino_model.bin1.42 GBb9e2595c9f5a8203ff78793c537b34d7e11d4b2630c020f66a1284daa48e21d5
openvino/openvino_model.xml750 KBfa421e2c99ad8e3f744d1992921aeeaf0639941a3aebc127fdb7982e8451dd7c
openvino/openvino_model_qint8_quantized.bin358 MB69cca64d73dafe56512c3e4732bcf5d312c416a86466a69066e3a1bc9e2fde87
openvino/openvino_model_qint8_quantized.xml1.38 MBa88ea2ecd696f64685834143e31b462c20ef5365493ef1b1e1f1d2cc5bb8d067
pytorch_model.bin1.42 GBa01c9ec97da7dcd86815855a2d91b43c96db6518c7da0f917bcbe00ced5d13e3
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
d3f224f298 pinned now2026-11-15 05:11 UTC25 files · 13.9 GB

Use it

$ fw get cross-encoder/quora-roberta-large
# manifest sha256 62dca33f7cbd… · 13.9 GB · 25 files
$ fw verify ./quora-roberta-large cross-encoder/quora-roberta-large
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-large.json --dir ./quora-roberta-large $ python3 fw.py verify ./quora-roberta-large ./cross-encoder__quora-roberta-large.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download cross-encoder/quora-roberta-large --revision d3f224f29852aa5bc5e9dc77f37f13b85e19d3e0 --local-dir ./quora-roberta-large

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
98fe754750534d3e7a1df9c9e4be756569e4145ab8fec1eb76e8c1477a73aafb
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-largeDate: 2026-11-15Commit: d3f224fSigned: 2DC28CC7B26A283B ✓
Upstream
cross-encoder/quora-roberta-large
Pinned commit
d3f224f29852aa5bc5e9dc77f37f13b85e19d3e0
Manifest
quora-roberta-large.json · .minisig
Manifest sha256
62dca33f7cbdb2b481703277fd56613c0f66deaf91ae58ecf6dc77a112d48032
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 05:11 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

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

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