Models › all-distilroberta-v1 family

all-distilroberta-v1

sentence-transformers Apache 2.0 out 5 years ago

82.1M parameters, text in, embeddings out, 514 tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #39 in Embeddings · score 91.9 method v1 Sources 3 Downloads 30d 2.7M · #52 of 619 tracked

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?2.7Mdownloads, 30 days#52 of 619 we track · top 8%+4 likes, downloads −2% this week54 likesHugging Face2026-10-24

Worth reading

Picked by rule from 3 tracked pieces: the lab's own post, the most shared, a field report, the latest.

3 best of 3 tracked

The 1 pick above, plus these 2. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleArchitecture graph for sentence-transformers/all-distilroberta-v1hfviewer.com · undated
  2. Articleall-distilroberta-v1 by Sentence Transformers: Open Modelsavrn.com · undated

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#Cheapest live rowIn /1MOut /1MContextQuantSeen
1 HF Inference — — — — Oct 25

All 1 provider →

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

Served by 1 API provider; 1 quantized build for local use; a big base for builders (57 fine-tunes, adapters and merges).

  • As a service1HF Inference
  • On own hardware1quantized builds
  • Built on5756 fine-tunes · 1 adapters · 0 merges
  • In apps42Hugging Face Spaces

Top Spaces running it: embedl/hfviewer ♥ 181 · Gradio-Blocks/pubmed-abstract-retriever ♥ 14 · pritamdeka/health-article-keyphrase-generator ♥ 8 · pritamdeka/pubmed-abstract-retriever ♥ 6

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at FP8

About 0.1 GB at FP8, 0.2 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBFP8: about 0.1 GB of weights (estimate; KV cache and activations extra)FP80.1 GBBF16: about 0.2 GB of weights (estimate; KV cache and activations extra)BF160.2 GB
16 GB card64 GB Mac2×80 GB8×80 GBFP8: about 0.1 GB of weights (estimate; KV cache and activations extra)FP80.1 GBBF16: about 0.2 GB of weights (estimate; KV cache and activations extra)BF160.2 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

26 repo commits since the weights landed

Teal is the weights (2022-03-02), grey ticks are repo commits.

SepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-03-06: 1 repo commit2024-11-05: 1 repo commit2024-10-11: 11 repo commits2024-03-27: 1 repo commit2024-02-12: 2 repo commits2022-07-11: 1 repo commit2022-07-08: 3 repo commits2022-07-07: 1 repo commit2022-06-21: 1 repo commit2021-08-30: 1 repo commit2021-08-18: 3 repo commitsWeights 2022-03-02 · 2022-03-02Weights 2022-03-02now · 1 provider
SepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-03-06: 1 repo commit2024-11-05: 1 repo commit2024-10-11: 11 repo commits2024-03-27: 1 repo commit2024-02-12: 2 repo commits2022-07-11: 1 repo commit2022-07-08: 3 repo commits2022-07-07: 1 repo commit2022-06-21: 1 repo commit2021-08-30: 1 repo commit2021-08-18: 3 repo commitsWeights 2022-03-02 · 2022-03-02Weights 2022-03-02now · 1 provider

What people built on it

58 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

58 derivatives on the Hub, most of them fine-tunes

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

1 quantized (Hugging Face model tree)56 fine-tunes (Hugging Face model tree)1 adapter (Hugging Face model tree)1 quantized56 fine-tunes1 adapter
1 quantized (Hugging Face model tree)56 fine-tunes (Hugging Face model tree)1 adapter (Hugging Face model tree)1 quantized56 fine-tunes1 adapter

All variants →

Reference

Everything else, folded: the full tables, every source.

What the card says

1 cited sentence

Summary generated, cited

It maps sentences and paragraphs to a 768 dimensional dense vector space for tasks like clustering or semantic search.[1]

  1. “maps sentences & paragraphs to a 768 dimensional dense ve…”

Generated 2026-10-07 15:04 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

2 use cases

What it is good at 2 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

21 fields

Listed in Embeddings

Facts

Pipeline tagsentence-similarity
Librarysentence-transformers
ArchitecturesRobertaForMaskedLM
Model typeroberta
Params by dtypeF32: 82,118,400 · I64: 514
Size bandS
MoEno
Context length514 (config.json max_position_embeddings)
Languagesen
PapersarXiv:1904.06472, arXiv:2102.07033, arXiv:2104.08727, arXiv:1704.05179, arXiv:1810.09305
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · RobertaForMaskedLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · RobertaForMaskedLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for all-distilroberta-v1: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)0.2 GB · Edge (<4 GB)
FP8 (1 byte/param)0.1 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)0.0 GB · Edge (<4 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Original model Family: sentence-transformers/all-distilroberta-v1 58 derivatives on the Hub

finetune: 56quantized: 1adapter: 1

Top variants (40 shown, ranked by downloads)

Relation
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
shawhin/distilroberta-ai-job-embeddings finetune — 82.1M S — shawhin 2 23.6k
hanwenzhu/all-distilroberta-v1-lr2e-4-bs256-nneg3-ml-mar13 finetune — 82.1M S — hanwenzhu 0 9.5k
TomDubois12/fine-tuned-model finetune — 82.1M S — TomDubois12 0 4.5k
Xenova/all-distilroberta-v1 quantized — — — — Xenova 0 4.1k
sllawlis/all-distilroberta-ce-esci finetune — 82.1M S apache-2.0 sllawlis 0 920
FrancescoPeriti/TRoTR-all-distilroberta-v1 finetune — 82.1M S cc-by-sa-4.0 FrancescoPeriti 1 754
hanwenzhu/all-distilroberta-v1-lr2e-4-bs256-nneg3-ml-ne5-mar17 finetune — 82.1M S — hanwenzhu 0 795
realAABeigi/ZAT-E1 finetune — 82.1M S apache-2.0 realAABeigi 0 748
dilovancelik/all-distilroberta-v1_danish_law_fine_tune finetune — 82.1M S — dilovancelik 1 636
moranmiz/recipe-sbert-model finetune — 82.1M S — moranmiz 0 677
Bo8dady/finetuned4-College-embeddings finetune — 82.1M S — Bo8dady 0 660
Xavarary/mpnet-base-all-medium-triplet finetune — 82.1M S apache-2.0 Xavarary 0 648
tudorizer/distilroberta-ai-job-embeddings finetune — 82.1M S — tudorizer 0 483
aisuko/distilroberta-pubmed-embeddings finetune — 82.1M S — aisuko 0 446
hanwenzhu/all-distilroberta-v1-lr2e-4-bs1024-nneg3-ml finetune — 82.1M S — hanwenzhu 0 433
hanwenzhu/all-distilroberta-v1-lr2e-4-bs1024-nneg3-mlbs-mar03 finetune — 82.1M S — hanwenzhu 0 395
Bo8dady/finetuned-College-embeddings finetune — 82.1M S — Bo8dady 0 379
trihoang131/distilroberta-movies-embeddings finetune — 82.1M S — trihoang131 0 365
LATEiimas/all-distilroberta-v1-sentence-transformer-embedding-finetuned-ru finetune — 82.1M S — LATEiimas 0 340
khengkok/distilroberta-ai-job-embeddings finetune — 82.1M S — khengkok 0 330
amishra22/distilroberta-ai-job-embeddings finetune — 82.1M S — amishra22 0 329
knguyennguyen/distill_fashion_5k finetune — 82.1M S — knguyennguyen 0 328
Fe2x/distilroberta-ai-job-embeddings finetune — 82.1M S — Fe2x 0 328
aaa961/distilroberta-ai-job-embeddings finetune — 82.1M S — aaa961 0 328
AmberJin4526/distilroberta-ai-jobembeddings finetune — 82.1M S — AmberJin4526 0 326
subhrajit-mohanty/distilroberta-PubMedQAinstruction-embeddings finetune — 82.1M S — subhrajit-mohanty 0 318
tomaarsen/all-distilroberta-v1-trec-balanced-sampler finetune — 82.1M S — tomaarsen 0 318
muflihimaduddin/sbert-finetuned-oe finetune — 82.1M S — muflihimaduddin 0 313
Shahriardev/distobert-finetuned-embedding-faq1-v1-1 finetune — 82.1M S — Shahriardev 0 290
muflihimaduddin/sbert-finetuned-ce finetune — 82.1M S — muflihimaduddin 0 286
hanwenzhu/all-distilroberta-v1-lr2e-4-bs1024-nneg3-ml-feb22 finetune — 82.1M S — hanwenzhu 0 283
rakesh-tirlangi/distilroberta-embedding-job finetune — 82.1M S — rakesh-tirlangi 0 263
tomaarsen/all-distilroberta-v1-trec-batch-sampler finetune — 82.1M S — tomaarsen 0 260
Bo8dady/finetuned2-College-embeddings finetune — 82.1M S — Bo8dady 0 253
hanwenzhu/all-distilroberta-v1-lr2e-4-bs1024-nneg3-ml-feb11 finetune — 82.1M S — hanwenzhu 0 238
hanwenzhu/all-distilroberta-v1-lr2e-4-bs1024-nneg3-ml-feb04 finetune — 82.1M S — hanwenzhu 0 191
hanwenzhu/all-distilroberta-v1-lr2e-4-bs256-nneg3-ml-ne5-may07 finetune — 82.1M S — hanwenzhu 0 185
krshahvivek/distilroberta-ai-job-embeddings finetune — 82.1M S — krshahvivek 0 181
HariModelMaven/distilroberta-pubmed-embeddings finetune — 82.1M S — HariModelMaven 0 161
ShushantLLM/distilroberta-ai-job-embeddings finetune — 82.1M S — ShushantLLM 0 151

Repository changelog

26 commits

Repository changelog 26 commits

DateCommitSHA
2025-03-06 Remove deprecated (SEB) evaluation results section 842eaed
2024-11-05 Add exported openvino model 'openvino_model_qint8_quantized.xml' 8d88b92
2024-10-11 Add new SentenceTransformer model with an openvino backend bbb937e
2024-10-11 Add new SentenceTransformer model with an openvino backend 7f49a90
2024-10-11 Add exported ONNX model 'model_qint8_avx512_vnni.onnx' 02df657
2024-10-11 Add exported ONNX model 'model_qint8_avx512.onnx' 28c2858
2024-10-11 Add exported ONNX model 'model_quint8_avx2.onnx' 687cd95
2024-10-11 Add exported ONNX model 'model_qint8_arm64.onnx' 83cde5c
2024-10-11 Add exported ONNX model 'model_O4.onnx' bddf8d1
2024-10-11 Add exported ONNX model 'model_O3.onnx' 19a2a0c
2024-10-11 Add exported ONNX model 'model_O2.onnx' 9f1b370
2024-10-11 Add exported ONNX model 'model_O1.onnx' 88d887b
2024-10-11 Add new SentenceTransformer model with an onnx backend 71d05f8
2024-03-27 Adding `safetensors` variant of this model (#5) 14e2a3f
2024-02-12 Update Sentence Transformers metadata (#3) 72ec7c5
2024-02-12 Update dataset 2c73fdc
2022-07-11 adding training dataset 57dd5d5
2022-07-08 adding training dataset 5ece6db
2022-07-08 adding training dataset 9329100
2022-07-08 Adding training datasets c9a018b
2022-07-07 adding training datasets e5e0bba
2022-06-21 rust_weights (#1) 073209d
2021-08-30 Update sentence_bert_config.json 7e9534f
2021-08-18 update readme 278590c
2021-08-18 upload ac8d0d1
2021-08-18 initial commit 6431b9d

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for all-distilroberta-v1, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
HF Inference
hf
sentence-transformers/all-distilroberta-v1 — — — — — — — live 2026-10-25

Articles and coverage

3 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Analysis3

hfviewer.com3,316 words
hfviewer renders an interactive architecture graph for the Hugging Face model sentence-transformers/all-distilroberta-v1. The model uses 6 transformer layers, a hidden size of 768, and 12 attention heads with a feed-forward intermediate size of 3,072. It features a vocabulary of 50,265 tokens and a context window of up to 514 tokens with checkpoint weights stored in F32.written, reviewed, cited
  • The graph is trace-backed where executable, otherwise derived from reviewed configuration and source code.
  • hfviewer enables reading architectural decision text and jumping directly into the corresponding graph section.
  • hfviewer allows moving from high-level architecture down to specific traced blocks and paths for deployment analysis.
savrn.com1,677 words
all-distilroberta-v1 is a Nepali sentence-embedding model that maps Devanagari script sentences to a 768-dimensional vector. This 82M parameter model, fine-tuned from Rajan/NepaliBERT on syubraj/stsbnepali, operates within a 514-token context. It requires about 0.2 GB of GPU memory at 16-bit precision and serves for approximately $1.85 an hour on a single 1x MI300X instance.written, reviewed, cited
  • The model outputs a cosine similarity score equal to the STS benchmark score divided by 5.
  • Deployment requires keeping the license and copyright notices while stating any significant changes.
savrn.com1,827 words
all-distilroberta-v1 has 82M parameters and e5-base-v2 has 109M parameters. At 16-bit, all-distilroberta-v1 needs about 0.2 GB and e5-base-v2 about 0.3 GB.generated, cited

Papers

5 papers

Papers 5

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

Similar models

3 models

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:36 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:04 UTC · Last verified 2026-10-25

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