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Models › Qwen family

Qwen-VL-Chat

Hugging Face ↗ Follow changes

Qwen Not declared out 3 years ago

Text in, text out, 8K tokens of context.

Verified 2026-10-25 Rank #313 in LLMs · score 82.9 method v1 Sources 3 Downloads 30d 18.4k · #463 of 619 tracked

Can I use it?Not declaredNo license declared on the model cardlicence file2026-10-24
Do people use it?18.4kdownloads, 30 days#463 of 619 we track · below the median+2 likes, downloads +2% this week390 likesHugging Face2026-10-24

Worth reading

Picked by rule from 23 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Latest · 21 days ago

Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s

Strata runs the 125-billion-parameter Qwen3.8-Flash-Next model on consumer hardware under an MIT license with no cloud dependencies.

  • RX 6000 cards lack a dedicated installer and must fetch the engine automatically after installing hip-rdna3 or amd-rx7900.
  • Strata never splits a single model across NVIDIA and AMD graphics cards, even if multiple cards of the same make are present.
github.com 2026-10-04 924 HN pts · 422 comments 3.4k words about the Qwen family family

23 best of 23 tracked

The 2 picks above, plus these 21. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleQwen Image 2.1qwen.ai · 2026-09-20 · 740 HN pts · official
  2. ArticleQwen3.8-Flash-Nextqwen.ai · 2026-08-26 · 704 HN pts · official
  3. ArticleQwen3.8-Max: A New Bar for Coding and Coworkqwen.ai · 2026-08-03 · 1,124 HN pts · official
  4. ArticleQwen 3.8 27B is excellent, but it defaults to overthinking thingssimonwillison.net · 2026-08-16 · 802 HN pts
  5. ArticleQwen 3.8 27B available on Cerebras at 1500 tokens/sinference-docs.cerebras.ai · 2026-09-03 · 691 HN pts
  6. ArticleQwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledgeqwen.ai · 2026-07-21 · 571 HN pts · official
  7. DiscussionQwen 3.8twitter.com · 2026-07-19 · 961 HN pts
  8. ArticleQwen3.7-Max: The Agent Frontierqwen.ai · 2026-05-20 · 721 HN pts · official
  9. ArticleLocal Qwen isn't a worse Opus, it's a different toolblog.alexellis.io · 2026-06-18
  10. ArticleQwen3.6-27B: Flagship-Level Coding in a 27B Dense Modelqwen.ai · 2026-04-22 · official
  11. ArticleQwen3.6-35B-A3B: Agentic coding power, now open to allqwen.ai · 2026-04-16 · official
  12. ArticleQwen3.6-Max-Preview: Smarter, Sharper, Still Evolvingqwen.ai · 2026-04-20 · official
  13. ArticleQwen3.6-Plus: Towards real world agentsqwen.ai · 2026-04-02 · official
  14. ArticleSomething is afoot in the land of Qwensimonwillison.net · 2026-03-04
  15. ArticleHow to run Qwen 3.5 locallyunsloth.ai · 2026-03-07
  16. ArticleQwen3-Coder-Nextqwen.ai · 2026-02-03 · official
  17. ArticleQwen3-Max-Thinkingqwen.ai · 2026-01-26 · official
  18. ArticleQwen3-TTS family is now open sourced: Voice design, clone, and generationqwen.ai · 2026-01-22 · official
  19. ArticleQwen3-Nextqwen.ai · 2025-09-12 · official
  20. ArticleQwen-Image: Crafting with native text renderingqwenlm.github.io · 2025-08-04 · official
  21. CodeShow HN: Qwen-2.5-32B is now the best open source OCR modelgithub.com · 2025-04-01

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: 41 Spaces.

  • As a service0no API provider listed
  • On own hardware0quantized builds
  • Built on547 fine-tunes · 47 adapters · 0 merges
  • In apps41Hugging Face Spaces

Top Spaces running it: Speedofmastery/orynxml-backend ♥ 2 · znskiss/Qwen-VL ♥ 1 · TeamTonic/VLChat-OfficialDemo ♥ 1 · jarnot/EasyAnimate ♥ 1

The story so far

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

10 dated articles and 30 repo commits so far

Teal is the weights (2023-08-20), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

SepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-01-25: 1 repo commit2023-12-26: 3 repo commits2023-12-05: 1 repo commit2023-10-31: 1 repo commit2023-10-23: 2 repo commits2023-10-12: 1 repo commit2023-10-11: 1 repo commit2023-09-25: 10 repo commits2023-09-05: 1 repo commit2023-09-01: 1 repo commit2023-08-31: 3 repo commits2023-08-29: 1 repo commit2023-08-28: 3 repo commits2023-08-25: 1 repo commitQwen Image 2.1 · 2026-09-20Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s · 2026-10-04Qwen3.8-Flash-Next · 2026-08-26Qwen3.8-Max: A New Bar for Coding and Cowork · 2026-08-03Qwen 3.8 27B is excellent, but it defaults to overthinking things · 2026-08-16Qwen 3.8 27B available on Cerebras at 1500 tokens/s · 2026-09-03Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge · 2026-07-21Qwen 3.8 · 2026-07-19Qwen 3.6 27B is the sweet spot for local development · 2026-06-29Qwen3.7-Max: The Agent Frontier · 2026-05-20Weights 2023-08-20 · 2023-08-20Weights 2023-08-20now
SepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-01-25: 1 repo commit2023-12-26: 3 repo commits2023-12-05: 1 repo commit2023-10-31: 1 repo commit2023-10-23: 2 repo commits2023-10-12: 1 repo commit2023-10-11: 1 repo commit2023-09-25: 10 repo commits2023-09-05: 1 repo commit2023-09-01: 1 repo commit2023-08-31: 3 repo commits2023-08-29: 1 repo commit2023-08-28: 3 repo commits2023-08-25: 1 repo commitQwen Image 2.1 · 2026-09-20Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s · 2026-10-04Qwen3.8-Flash-Next · 2026-08-26Qwen3.8-Max: A New Bar for Coding and Cowork · 2026-08-03Qwen 3.8 27B is excellent, but it defaults to overthinking things · 2026-08-16Qwen 3.8 27B available on Cerebras at 1500 tokens/s · 2026-09-03Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge · 2026-07-21Qwen 3.8 · 2026-07-19Qwen 3.6 27B is the sweet spot for local development · 2026-06-29Qwen3.7-Max: The Agent Frontier · 2026-05-20Weights 2023-08-20 · 2023-08-20Weights 2023-08-20now

What people built on it

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

54 derivatives on the Hub, most of them adapters

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

7 fine-tunes (Hugging Face model tree)47 adapters (Hugging Face model tree)7 fine-tunes47 adapters
7 fine-tunes (Hugging Face model tree)47 adapters (Hugging Face model tree)7 fine-tunes47 adapters

All variants →

Reference

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

Benchmarks

4 rows

Benchmarks 4 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (4)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 TouchStone401.2BF16 ZH.model author2026-10-07
author-reported TouchStone645.2BF16 ENmodel author2026-10-07
author-reported TouchStone386.6Int4 ZH.model author2026-10-07
author-reported TouchStone651.4Int4 ENmodel author2026-10-07

What the card says

2 cited sentences

Summary generated, cited

Qwen-VL-Chat is a visual multimodal Chat model developed by Qwen for text-generation tasks.[1] The model accepts image, text, and bounding box as inputs and produces text and bounding box as outputs.[2]

  1. “We release Qwen-VL and Qwen-VL-Chat, which are pretrained…”
  2. “Qwen-VL accepts image, text, and bounding box as inputs, …”

Generated 2026-10-07 15:09 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

19 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesQWenLMHeadModel
Model typeqwen
Dtypebfloat16
MoEno
Context length8,192 (config.json max_position_embeddings)
Languageszh, en
PapersarXiv:2308.12966
LicenseNot declared
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: not in registry · QWenLMHeadModel · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · QWenLMHeadModel · 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.

All variants

40 variants

Lineage

Original model Family: Qwen/Qwen 54 derivatives on the Hub

finetune: 7adapter: 47

Top variants (40 shown, ranked by downloads)

Relation
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
Xingyu-Zheng/Qwen-VL-Chat finetune — — — — Xingyu-Zheng 1 7.4k
KissanAI/Dhenu-vision-lora-0.1 adapter — 9.66B L apache-2.0 KissanAI 12 1.9k
Alibaba-NLP/OmniSearch-Qwen-VL-Chat-en finetune — 9.66B L apache-2.0 Alibaba-NLP 2 508
AgoraX/Lumixion-e1-70k-fncall-qlora finetune — 9.66B L — AgoraX 3 313
YanqiDai/MMRole-Eval_RM finetune — — — mit YanqiDai 1 281
HongxinLi/AutoGUI-Qwen-v0.1 finetune — 9.66B L — HongxinLi 0 330
YanqiDai/MMRole-Agent finetune — — — mit YanqiDai 2 215
trinhxuankhai/external_pedes_appearance adapter — — — — trinhxuankhai 0 259
oofwite/OMG-VLM adapter — — — other oofwite 4 19
wumengyangok/ICM-Qwen-VL finetune — — — apache-2.0 wumengyangok 0 120
trinhxuankhai/origin_v_pedes_location adapter — — — — trinhxuankhai 0 77
trinhxuankhai/external_vehicle_environment adapter — — — — trinhxuankhai 0 66
zooknowsys/wtoc_LoRA adapter — — — — zooknowsys 0 45
zooknowsys/humanizeLoRA_0123 adapter — — — — zooknowsys 0 44
trinhxuankhai/origin_o_vehicle_location adapter — — — — trinhxuankhai 0 42
zooknowsys/humanizeLoRA_0127 adapter — — — — zooknowsys 0 35
zooknowsys/wtocLoRA_0126 adapter — — — — zooknowsys 0 30
trinhxuankhai/origin_v_pedes_environment adapter — — — — trinhxuankhai 0 30
trinhxuankhai/origin_v_pedes_attention adapter — — — — trinhxuankhai 0 30
trinhxuankhai/origin_o_vehicle_appearance adapter — — — — trinhxuankhai 0 29
trinhxuankhai/origin_o_vehicle_environment adapter — — — — trinhxuankhai 0 29
trinhxuankhai/origin_o_vehicle_action adapter — — — — trinhxuankhai 0 29
trinhxuankhai/origin_o_pedes_rewrite adapter — — — — trinhxuankhai 0 28
trinhxuankhai/origin_v_pedes_appearance adapter — — — — trinhxuankhai 0 27
trinhxuankhai/origin_v_vehicle_appearance adapter — — — — trinhxuankhai 0 27
trinhxuankhai/origin_v_vehicle_environment adapter — — — — trinhxuankhai 0 27
trinhxuankhai/origin_v_vehicle_action adapter — — — — trinhxuankhai 0 27
trinhxuankhai/external_pedes_location adapter — — — — trinhxuankhai 0 26
trinhxuankhai/origin_o_pedes_environment adapter — — — — trinhxuankhai 0 26
trinhxuankhai/origin_o_pedes_location adapter — — — — trinhxuankhai 0 26
AmaadMartin/k_1_context_model adapter — — — — AmaadMartin 0 26
trinhxuankhai/external_pedes_environment adapter — — — — trinhxuankhai 0 25
trinhxuankhai/external_vehicle_appearance adapter — — — — trinhxuankhai 0 25
trinhxuankhai/origin_o_pedes_attention adapter — — — — trinhxuankhai 0 25
sujr/seeclick_mc16_ref adapter — — — — sujr 0 25
trinhxuankhai/external_vehicle_location adapter — — — — trinhxuankhai 0 23
trinhxuankhai/external_vehicle_action adapter — — — — trinhxuankhai 0 23
trinhxuankhai/external_pedes_rewrite adapter — — — — trinhxuankhai 0 23
trinhxuankhai/origin_o_vehicle_rewrite adapter — — — — trinhxuankhai 0 23
sujr/scaling_exp_refSoM adapter — — — — sujr 0 23

Repository changelog

30 commits

Repository changelog 30 commits

DateCommitSHA
2024-01-25 Update README.md f57cfbd
2023-12-26 Support chat-stream 6665c78
2023-12-26 Support chat_stream 989c61a
2023-12-26 support chat_stream ae4b906
2023-12-05 Update tokenization_qwen.py 37124e2
2023-10-31 Update visual.py 88d6dd3
2023-10-23 Update modeling_qwen.py 0b3eb69
2023-10-23 Update modeling_qwen.py 5bdb809
2023-10-12 Update modeling_qwen.py bbe5a80
2023-10-11 Update modeling_qwen.py e718765
2023-09-25 Upload pytorch_model-00010-of-00010.bin with huggingface_hub 2562bb2
2023-09-25 Upload pytorch_model-00009-of-00010.bin with huggingface_hub 4dc08b7
2023-09-25 Upload pytorch_model-00008-of-00010.bin with huggingface_hub 8c39601
2023-09-25 Upload pytorch_model-00007-of-00010.bin with huggingface_hub de6203b
2023-09-25 Upload pytorch_model-00006-of-00010.bin with huggingface_hub 7cf6683
2023-09-25 Upload pytorch_model-00005-of-00010.bin with huggingface_hub 3a68639
2023-09-25 Upload pytorch_model-00004-of-00010.bin with huggingface_hub 678f336
2023-09-25 Upload pytorch_model-00003-of-00010.bin with huggingface_hub 09d6bcf
2023-09-25 Upload pytorch_model-00002-of-00010.bin with huggingface_hub 4ba7f26
2023-09-25 Upload pytorch_model-00001-of-00010.bin with huggingface_hub 6657a5f
2023-09-05 Update README.md 0eecbfa
2023-09-01 Update tokenization_qwen.py 96a960a
2023-08-31 Upload README.md 313f3a0
2023-08-31 Update tokenization_qwen.py 7595aae
2023-08-31 Update modeling_qwen.py 0288b7e
2023-08-29 Update modeling_qwen.py a3d284e
2023-08-28 Update tokenization_qwen.py 1fb8c15
2023-08-28 Update tokenization_qwen.py 2d34a29
2023-08-28 Update tokenization_qwen.py ef917c8
2023-08-25 lower top p 548275c

Articles and coverage

23 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.

Official5

Qwen Image 2.1
qwen.ai2026-09-20officialauthorityHN front pageabout the Qwen familyHN 740 pts · 199 comments1,216 words
Qwen-Image-2.1 is an open-source image model released on September 20, 2026, that unifies text-to-image generation and image editing. The model uses a visual generation component with 32 Single-Stream DiT layers and 7B parameters, employing a mixed-granularity attention architecture to optimize inference efficiency. It supports native transparency and allows users to use up to 10 reference images for generating coherent compositions.written, reviewed, cited
  • The model uses KV cache reuse to compute and cache input images and editing instructions in the first step.
  • Qwen-Image-2.1 accepts the original image and a separate mask as two inputs to preserve complete input during local editing.
  • Text rendering considers type styles, layout, and their relationship to the overall composition, not just content.
Qwen3.8-Flash-Next
qwen.ai2026-08-26officialauthorityHN front pageabout the Qwen familyHN 704 pts · 233 comments3,581 words
Qwen3.8-Flash-Next is a 125B-parameter multimodal MoE model with 51B N-gram embeddings and 6B activated parameters per token. It natively supports 262,144 tokens of context and is extensible to 1,000,000 tokens with YaRN. The production version on QwenCloud costs 0.15 USD per million input tokens and 0.47 USD per million output tokens.written, reviewed, cited
  • The model uses a Muon optimizer refined around orthogonalization accuracy and the division of labour between Muon and AdamW.
  • Qwen Sparse Attention compresses the sequence into micro-blocks to estimate context importance at the block level before selecting regions.
  • Gated Residual expands the original single residual stream into four parallel branches to dynamically control reads and writes.
Qwen3.8-Max: A New Bar for Coding and Cowork
qwen.ai2026-08-03officialauthorityHN front pageabout the Qwen familyHN 1,124 pts · 612 comments11,334 words
Qwen 3.8-Max is a 2.4 trillion parameter model with 95B active parameters available via QwenCloud, featuring open weights releasing next week. The model self-evolves through feedback loops to complete complex tasks end-to-end with greater reliability. Over 16 days of fully autonomous AI operation, the repository accumulated 265 commits, 127 PRs, and 151 issues.written, reviewed, cited
  • The autonomous coding harness routes abnormal states back to relevant issues for fixes and re-verification.
  • The model beats the paper's own approach with a +2.7-point gain on the AIME24 math benchmark.
Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
qwen.ai2026-07-21officialauthorityHN front pageabout the Qwen familyHN 571 pts · 217 comments1,381 words
Qwen3.7-Max: The Agent Frontier
qwen.ai2026-05-20officialauthorityHN front pageabout the Qwen familyHN 721 pts · 290 comments3,821 words

Analysis4

Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s
github.com2026-10-04authorityHN front pageabout the Qwen familyHN 924 pts · 422 comments3,398 words
Strata runs the 125-billion-parameter Qwen3.8-Flash-Next model on consumer hardware under an MIT license with no cloud dependencies. Users need at least 32 GB of combined RAM and graphics memory, with NVIDIA drivers version 580 or newer recommended for optimal performance. The model download size ranges from 40 to 70 GB, and the engine supports OpenAI and Anthropic API compatibility for local agent integration.written, reviewed, cited
  • RX 6000 cards lack a dedicated installer and must fetch the engine automatically after installing hip-rdna3 or amd-rx7900.
  • Strata never splits a single model across NVIDIA and AMD graphics cards, even if multiple cards of the same make are present.
  • The Coder model requires 32 GB of RAM and retains only half of its experts, making it weaker for non-code tasks.
Qwen 3.8 27B is excellent, but it defaults to overthinking things
simonwillison.net2026-08-16authorityHN front pageabout the Qwen familyHN 802 pts · 385 comments2,116 words
Qwen 3.8 27B is an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba that defaults to an extra high reasoning effort, causing it to overthink simple tasks. The model is a 17GB file capable of vision tasks like bounding box detection and driving coding agents, though generating a complex pelican SVG takes 21 minutes using 22,276 reasoning tokens. Disabling reasoning reduces generation to 137 seconds, while Multi-Token Prediction boosts performance by around 72% compared to the default GGUF setup.written, reviewed, cited
  • The model defaults to xhigh reasoning effort, which is described as a bad place to start for consumer hardware.
  • Running the model with Multi-Token Prediction via llama-server outperformed the default LM Studio GGUF by around 72%.
  • Dense non-Mixture-of-Experts models require a whole lot of memory bandwidth to perform well on available machines.
Qwen 3.8 27B available on Cerebras at 1500 tokens/s
inference-docs.cerebras.ai2026-09-03HN front pageabout the Qwen familyHN 691 pts · 228 comments392 words
Qwen 3.6 27B is the sweet spot for local development
quesma.com2026-06-29HN front pageabout the Qwen familyHN 1,192 pts · 759 comments1,257 words

Community1

Qwen 3.8
twitter.com2026-07-19HN front pageabout the Qwen familyHN 961 pts · 731 comments
All coverage tracked for this model (23) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/sgithub.com2026-10-042026-10-07hn
Qwen Image 2.1qwen.ai official2026-09-202026-10-07hn
Qwen 3.8 27B available on Cerebras at 1500 tokens/sinference-docs.cerebras.ai2026-09-032026-10-07hn
Qwen3.8-Flash-Nextqwen.ai official2026-08-262026-10-07hn
Qwen 3.8 27B is excellent, but it defaults to overthinking thingssimonwillison.net2026-08-162026-10-07hn
Qwen3.8-Max: A New Bar for Coding and Coworkqwen.ai official2026-08-032026-10-07hn
Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledgeqwen.ai official2026-07-212026-10-07hn
Qwen 3.8twitter.com2026-07-192026-10-07hn
Qwen 3.6 27B is the sweet spot for local developmentquesma.com2026-06-292026-10-07hn
Local Qwen isn't a worse Opus, it's a different toolblog.alexellis.io2026-06-182026-10-07hn
Qwen3.7-Max: The Agent Frontierqwen.ai official2026-05-202026-10-07hn
Qwen3.6-27B: Flagship-Level Coding in a 27B Dense Modelqwen.ai official2026-04-222026-10-07hn
Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolvingqwen.ai official2026-04-202026-10-07hn
Qwen3.6-35B-A3B: Agentic coding power, now open to allqwen.ai official2026-04-162026-10-07hn
Qwen3.6-Plus: Towards real world agentsqwen.ai official2026-04-022026-10-07hn
How to run Qwen 3.5 locallyunsloth.ai2026-03-072026-10-07hn
Something is afoot in the land of Qwensimonwillison.net2026-03-042026-10-07hn
Qwen3-Coder-Nextqwen.ai official2026-02-032026-10-07hn
Qwen3-Max-Thinkingqwen.ai official2026-01-262026-10-07hn
Qwen3-TTS family is now open sourced: Voice design, clone, and generationqwen.ai official2026-01-222026-10-07hn
Qwen3-Nextqwen.ai official2025-09-122026-10-07hn
Qwen-Image: Crafting with native text renderingqwenlm.github.io official2025-08-042026-10-07hn
Show HN: Qwen-2.5-32B is now the best open source OCR modelgithub.com2025-04-012026-10-07hn

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).

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3 models

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:38 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:09 UTC · Last verified 2026-10-25

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