Models › Qwen3-Embedding family

Qwen3-VL-Embedding-8B

Qwen Apache 2.0 out 10 months ago

8.14B parameters, text in, embeddings out, 256K tokens of context.

Verified 2026-10-25 Rank #35 in Embeddings · score 92.9 method v1 Sources 3 Downloads 30d 1.3M · #96 of 619 tracked

Changed this week: 1 new quantized build on the Hub (22 in all).2026-10-24

Can I run it?4.9GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?1.3Mdownloads, 30 days#96 of 619 we track · top 16%+6 likes, downloads −11% this week509 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. ArticleQwen3 Embedding:Advancing Text Embedding and Reranking Through Foundation Modelsqwenlm.github.io · 2025-06-05 · 3 HN pts · official
  2. ArticleFine-Tuning Qwen3 Embeddings for product category classificationblog.ivan.digital · 2026-03-03 · 2 HN pts

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.

No API provider serves it, so its downloads are people running it themselves: 22 quantized builds and 7 Spaces.

  • As a service0no API provider listed
  • On own hardware22quantized builds
  • Built on76 fine-tunes · 1 adapters · 0 merges
  • In apps7Hugging Face Spaces

Top Spaces running it: baohuynhbk14/Qwen3-VL-Multimodal-Search-DEMO ♥ 17 · nanovdr/distilling-the-document-tower ♥ 2

Will it fit?

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

Fits a 16 GB card at INT4

About 4.9 GB at INT4, 9.8 GB at FP8, 20 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.9 GB of weights (estimate; KV cache and activations extra)INT44.9 GBFP8: about 9.8 GB of weights (estimate; KV cache and activations extra)FP89.8 GBBF16: about 20 GB of weights (estimate; KV cache and activations extra)BF1620 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.9 GB of weights (estimate; KV cache and activations extra)INT44.9 GBFP8: about 9.8 GB of weights (estimate; KV cache and activations extra)FP89.8 GBBF16: about 20 GB of weights (estimate; KV cache and activations extra)BF1620 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.

Most coverage came in the first two weeks

Teal is the weights (2026-01-07), amber triangles are 3 dated articles (each links to it), grey ticks are repo commits.

JulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2026-04-16: 1 repo commit2026-01-19: 1 repo commit2026-01-09: 1 repo commit2026-01-08: 3 repo commits2026-01-07: 3 repo commitsQwen3 Embedding:Advancing Text Embedding and Reranking Through Foundation Models · 2025-06-05Qwen3 Embedding: Advancing Text Embedding and Reranking with Foundation Models · 2025-06-11Fine-Tuning Qwen3 Embeddings for product category classification · 2026-03-03Weights 2026-01-07 · 2026-01-07Weights 2026-01-07now
JulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2026-04-16: 1 repo commit2026-01-19: 1 repo commit2026-01-09: 1 repo commit2026-01-08: 3 repo commits2026-01-07: 3 repo commitsQwen3 Embedding:Advancing Text Embedding and Reranking Through Foundation Models · 2025-06-05Qwen3 Embedding: Advancing Text Embedding and Reranking with Foundation Models · 2025-06-11Fine-Tuning Qwen3 Embeddings for product category classification · 2026-03-03Weights 2026-01-07 · 2026-01-07Weights 2026-01-07now

What people built on it

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

29 derivatives on the Hub, most of them quantized

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

22 quantized (Hugging Face model tree)6 fine-tunes (Hugging Face model tree)1 adapter (Hugging Face model tree)22 quantized6 fine-tunes1 adapter
22 quantized (Hugging Face model tree)6 fine-tunes (Hugging Face model tree)1 adapter (Hugging Face model tree)22 quantized6 fine-tunes1 adapter

All variants →

Reference

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

Benchmarks

27 rows

Benchmarks 27 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (27)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported MMEB · Embed text for search74.4Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search81Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search80Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search92.2Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search80.1Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search79.1Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search70.1Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search57Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search53.2Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search66.1Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search88.2Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search69.9Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search88.8Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search78.3Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search83.3Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MMEB · Embed text for search77.9Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search67.88Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search58.88Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search77.48Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search71.95Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search55.82Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search4.46Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search28.59Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search81.08Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search65.72Qwen3-VL-Embedding-8Bmodel author2026-10-07
Show all 27 rows (2 more)
BenchmarkValueSetting / notesReported byDate
author-reported MTEB · Embed text for search69.41Qwen3-VL-Embedding-8Bmodel author2026-10-07
author-reported MTEB · Embed text for search75.41Qwen3-VL-Embedding-8Bmodel author2026-10-07

What the card says

2 cited sentences

Summary generated, cited

The model is designed for multimodal information retrieval and supports text, images, screenshots, videos, and mixed modality inputs.[1] It is released under the Apache 2.0 license and supports over 30 languages.[2][3]

  1. “multimodal information retrieval and cross-modal understa…”
  2. license
  3. “supports over 30 languages”

Generated 2026-10-07 15:02 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

7 use cases

What it is good at 7 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
ArchitecturesQwen3VLForConditionalGeneration
Model typeqwen3_vl
Dtypebfloat16
Params by dtypeBF16: 8,144,793,840
Size bandM
MoEno
Context length262,144 (config.json max_position_embeddings)
PapersarXiv:2601.04720
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen3VLForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen3VLForConditionalGeneration · 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 Qwen3-VL-Embedding-8B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)20 GB · Single GPU (<24 GB)
FP8 (1 byte/param)9.8 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)4.9 GB · Single GPU (<24 GB)

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

All variants

29 variants

Lineage

Fine-tuned from Qwen/Qwen3-VL-8B-Instruct (same organization) Family: Qwen/Qwen3-Embedding 29 derivatives on the Hub

Base model: Qwen/Qwen3-VL-8B-Instruct

quantized: 22finetune: 6adapter: 1

Top variants (29 shown, ranked by downloads)

Relation
Quant
29 rows
Variant Relation Quant Params Band License Author Likes Downloads
RamManavalan/Qwen3-VL-Embedding-8B-FP8 quantized -FP8 8.77B M apache-2.0 RamManavalan 6 1.2M
VesNFF/Qwen3-VL-Embedding-8B-GGUF quantized GGUF — — apache-2.0 VesNFF 0 206.2k
mradermacher/Qwen3-VL-Embedding-8B-GGUF quantized GGUF — — apache-2.0 mradermacher 10 32.6k
collin-park/Qwen3-VL-Embedding-8B-W8A8 quantized -W8A8 8.77B M apache-2.0 collin-park 1 30.6k
sywang/TPIPS-ActDiff-Qwen3VL-8B finetune — — — other sywang 1 11.7k
dam2452/Qwen3-VL-Embedding-8B-GGUF quantized GGUF — — apache-2.0 dam2452 4 11.2k
sywang/TPIPS-Embed-Qwen3VL-8B finetune — — — other sywang 2 11.1k
sywang/TPIPS-EarlyFusion-Qwen3VL-8B finetune — — — other sywang 1 10.7k
gonuit/Qwen3-VL-Embedding-8B-AWQ-4bit quantized AWQ 2.13B M apache-2.0 gonuit 0 10.6k
batiai/Qwen3-VL-Embedding-8B-GGUF quantized GGUF — — apache-2.0 batiai 7 7.9k
mradermacher/Qwen3-VL-Embedding-8B-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 1 7.5k
aiteza/Qwen3-VL-Embedding-8B-GGUF quantized GGUF — — apache-2.0 aiteza 5 4.2k
andrzejmontano/Qwen3-VL-Embedding-8B-mlx-8bit quantized mlx 8.77B M apache-2.0 andrzejmontano 0 3.5k
jedisct1/Qwen3-VL-Embedding-8B-mlx quantized mlx 8.19B M apache-2.0 jedisct1 0 3.3k
Ganonook/Qwen3-VL-Embedding-8B-Q4_K_M-GGUF quantized GGUF — — apache-2.0 Ganonook 3 2.6k
nkamiy/Qwen3-VL-Embedding-8B-8bit-mlx quantized -8bit 8.77B M apache-2.0 nkamiy 0 2.6k
QuaduxIT/Qwen3-VL-Embedding-8B-W8A16 quantized — 3.56B M apache-2.0 QuaduxIT 0 2.4k
Zeknes/Qwen3-VL-Embedding-8B-MLX-4bit quantized MLX 8.77B M apache-2.0 Zeknes 0 1.8k
shinshekai/Qwen3-VL-Embedding-8B-Q8_0-GGUF quantized Q8_0 — — apache-2.0 shinshekai 0 1.2k
lainsoykaf/Qwen3-VL-Embedding-8B-GGUF quantized GGUF — — apache-2.0 lainsoykaf 0 905
OLAIR/OLA-Embed finetune — 8.14B M apache-2.0 OLAIR 0 507
ganeshrao/Qwen3-VL-Embedding-8B-Q4_K_M-GGUF quantized GGUF — — apache-2.0 ganeshrao 0 481
gorse-io/Qwen3-VL-Embedding-8B-GGUF quantized GGUF — — apache-2.0 gorse-io 0 415
ganeshrao/Qwen3-VL-Embedding-8B-Q8_0-GGUF quantized Q8_0 — — apache-2.0 ganeshrao 0 408
indifferentketchup/Qwen3-VL-Embedding-8B-Q4_K_M-GGUF quantized GGUF — — apache-2.0 indifferentketchup 0 332
hbaighdc/Qwen3-VL-Embedding-8B-Q3_K_M-GGUF quantized GGUF — — apache-2.0 hbaighdc 0 231
lloydchristmasx/Qwen3-VL-Embedding-8B finetune — — — apache-2.0 lloydchristmasx 0 195
woooooz/Qwen3-VL-Embedding-8B finetune — 8.14B M apache-2.0 woooooz 0 21
ericssonbear/qwen3-vl-emb-8b-mrright-zhtw-lora adapter — — — apache-2.0 ericssonbear 0 0

Repository changelog

9 commits
changed in the last 7 daysOther: 2026-10-24all changes

Repository changelog 9 commits

DateCommitSHA
2026-04-16 Integrate with Sentence Transformers v5.4 (#11) 2c45655
2026-01-19 add model pipeline info and technical report info (#8) 418d038
2026-01-09 Add vLLM and SGLang usage examples (#4) a12d611
2026-01-08 Update scripts/qwen3_vl_embedding.py (#3) 93dc85c
2026-01-08 Update README.md (#2) 54edbcd
2026-01-08 Update README.md 5407fcd
2026-01-07 Update README.md db0a90a
2026-01-07 Upload folder using huggingface_hub 402b6f3
2026-01-07 initial commit 0115b0f

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.

Official1

qwenlm.github.io2025-06-05officialauthorityabout the Qwen3 Embedding familyHN 3 pts · 0 comments937 words
The Qwen3-Embedding-8B model ranks No.1 in the MTEB multilingual leaderboard with a score of 70.58. The Qwen3-Reranker-4B model achieves a FollowIR score of 14.84.generated, cited

Analysis2

arxiv.org2025-06-11authorityabout the Qwen3 Embedding familyHN 1 pts · 0 comments433 words
The Qwen3 Embedding series introduces new text embedding and reranking models built on Qwen3 foundation models. It offers a spectrum of model sizes (0.6B, 4B, 8B) for both embedding and reranking tasks and is publicly available under the Apache 2.0 license. The series achieves strong results on the multilingual evaluation benchmark MTEB for text embedding.written, reviewed, cited
blog.ivan.digital2026-03-03about the Qwen3 Embedding familyHN 2 pts · 0 comments

Papers

1 paper

Papers 1

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

Similar models

Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:35 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:02 UTC · Last verified 2026-10-25

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