Models › QVQ family

Qwen Qwen License (qwen) out 22 months ago

73.4B parameters, images and text in, text out, 125K tokens of context.

Verified 2026-10-25 Rank #436 in LLMs · score 78.4 method v1 Sources 3 Downloads 30d 1.4k · #586 of 619 tracked

Can I run it?44GB at INT4Estimatefits a 64 GB Mac (unified memory)method
Can I use it?Qwen License (qwen)Free below a usage thresholdlicence file2026-10-24
Do people use it?1.4kdownloads, 30 days#586 of 619 we track · below the median+2 likes, downloads +32% this week613 likesHugging Face2026-10-24

Worth reading

Picked by rule from 2 tracked pieces: the lab's own post, the most shared, a field report, the latest.

The lab's own post

Qwen QVQ: First open source 'thinking' vision model.

QVQ-72B-Preview is an open-weight multimodal reasoning model built upon Qwen2-VL-72B that achieves a score of 70.3 on the MMMU benchmark.

  • The model may mix languages or switch between them unexpectedly, affecting response clarity.
  • The team plans to integrate additional modalities into a unified model in the near future.
qwenlm.github.io 2024-12-24 5 HN pts 1.2k words
Most discussed · 236 HN pts

Trying out QvQ – Qwen's new visual reasoning model

QvQ-72B-Preview is a vision-focused follow-up to QwQ that uses a long chain-of-thought process to solve visual problems.

  • The model accepts an image and a single prompt but offers no option to send a follow-up prompt.
  • The QwQ model repository continues to list Apache 2.0, distinguishing it from the QvQ license change.
simonwillison.net 2024-12-24 236 HN pts · 82 comments 1.8k words about the QVQ family family

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: 24 quantized builds and 36 Spaces.

  • As a service0no API provider listed
  • On own hardware24quantized builds
  • Built on63 fine-tunes · 3 adapters · 0 merges
  • In apps36Hugging Face Spaces

Top Spaces running it: evbro/Qwen-QVQ-72B-Preview99 ♥ 2 · hrsprojects/R ♥ 1 · OP7/SG_TestSpace ♥ 1

Will it fit?

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

Fits a 64 GB Mac (unified memory) at INT4

About 44 GB at INT4, 88 GB at FP8, 176 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 44 GB of weights (estimate; KV cache and activations extra)INT444 GBFP8: about 88 GB of weights (estimate; KV cache and activations extra)FP888 GBBF16: about 176 GB of weights (estimate; KV cache and activations extra)BF16176 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 44 GB of weights (estimate; KV cache and activations extra)INT444 GBFP8: about 88 GB of weights (estimate; KV cache and activations extra)FP888 GBBF16: about 176 GB of weights (estimate; KV cache and activations extra)BF16176 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.

2 dated articles and 11 repo commits so far

Teal is the weights (2024-12-24), amber triangles are 2 dated articles (each links to it), grey ticks are repo commits.

JanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-01-12: 1 repo commit2024-12-25: 1 repo commit2024-12-24: 9 repo commitsTrying out QvQ – Qwen's new visual reasoning model · 2024-12-24Qwen QVQ: First open source 'thinking' vision model. · 2024-12-24Weights 2024-12-24 · 2024-12-24Weights 2024-12-24now
JanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-01-12: 1 repo commit2024-12-25: 1 repo commit2024-12-24: 9 repo commitsTrying out QvQ – Qwen's new visual reasoning model · 2024-12-24Qwen QVQ: First open source 'thinking' vision model. · 2024-12-24Weights 2024-12-24 · 2024-12-24Weights 2024-12-24now

What people built on it

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

30 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.

24 quantized (Hugging Face model tree)3 fine-tunes (Hugging Face model tree)3 adapters (Hugging Face model tree)24 quantized3 fine-tunes3 adapters
24 quantized (Hugging Face model tree)3 fine-tunes (Hugging Face model tree)3 adapters (Hugging Face model tree)24 quantized3 fine-tunes3 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 MMMU · Understand images and video70.3—model author2026-10-07
author-reported MathVision · Understand images and video35.9—model author2026-10-07
author-reported MathVista · Understand images and video71.4—model author2026-10-07
author-reported OlympiadBench20.4—model author2026-10-07

Use-case evidence

3 use cases

What it is good at 3 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

22 fields

Listed in LLMs

Facts

Pipeline tagimage-text-to-text
Librarytransformers
ArchitecturesQwen2VLForConditionalGeneration
Model typeqwen2_vl
Dtypebfloat16
Params by dtypeBF16: 73,405,560,320
Size bandXL
MoEno
Context length128,000 (config.json max_position_embeddings)
Languagesen
PapersarXiv:2409.12191
LicenseQwen License (qwen) (other)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen2VLForConditionalGeneration · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen2VLForConditionalGeneration · 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 QVQ-72B-Preview: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)176 GB · Multi-GPU node (<640 GB)
FP8 (1 byte/param)88 GB · Multi-GPU node (<640 GB)
INT4 (0.5 bytes/param)44 GB · Single high-end GPU (<80 GB)

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

All variants

30 variants

Lineage

Fine-tuned from Qwen/Qwen2-VL-72B (same organization) Family: Qwen/QVQ 30 derivatives on the Hub

Base model: Qwen/Qwen2-VL-72B

quantized: 24finetune: 3adapter: 3

Top variants (30 shown, ranked by downloads)

Relation
Quant
Size
30 rows
Variant Relation Quant Params Band License Author Likes Downloads
bartowski/QVQ-72B-Preview-GGUF quantized GGUF — — other bartowski 56 235.5k
unsloth/QVQ-72B-Preview-bnb-4bit quantized -bnb 75.6B XL other unsloth 5 18.3k
kosbu/QVQ-72B-Preview-AWQ quantized AWQ 73.7B XL other kosbu 8 9k
mmnga/QVQ-72B-Preview-gguf quantized gguf — — other mmnga 0 8.2k
mradermacher/QVQ-72B-Preview-i1-GGUF quantized GGUF — — other mradermacher 1 7.4k
lmstudio-community/QVQ-72B-Preview-GGUF quantized GGUF — — other lmstudio-community 2 5.3k
tensorblock/QVQ-72B-Preview-GGUF quantized GGUF — — other tensorblock 0 3.2k
mradermacher/QVQ-72B-Preview-GGUF quantized GGUF — — other mradermacher 1 2.7k
DevQuasar-6/Qwen.QVQ-72B-Preview-GGUF quantized GGUF — — — DevQuasar-6 3 2.1k
matatonic/QVQ-72B-Preview-abliterated-6.5bpw-h8-exl2 quantized 5bpw — — other matatonic 1 211
OPEA/QVQ-72B-Preview-int4-sym-inc quantized int4 12.6B L — OPEA 0 249
shad777725/risk_model finetune — — — apache-2.0 shad777725 0 142
Dracones/QVQ-72B-Preview_exl2_2.75bpw quantized exl2 — — other Dracones 0 133
bullerwins/QVQ-72B-Preview-exl2_4.5bpw quantized exl2 — — other bullerwins 0 133
Dracones/QVQ-72B-Preview_exl2_8.0bpw quantized exl2 — — other Dracones 0 129
Dracones/QVQ-72B-Preview_exl2_2.25bpw quantized exl2 — — other Dracones 0 69
Dracones/QVQ-72B-Preview_exl2_6.0bpw quantized exl2 — — other Dracones 0 61
Dracones/QVQ-72B-Preview_exl2_3.5bpw quantized exl2 — — other Dracones 0 61
bullerwins/QVQ-72B-Preview-exl2_5.0bpw quantized exl2 — — other bullerwins 0 59
Dracones/QVQ-72B-Preview_exl2_5.0bpw quantized exl2 — — other Dracones 0 58
Dracones/QVQ-72B-Preview_exl2_3.0bpw quantized exl2 — — other Dracones 0 56
Dracones/QVQ-72B-Preview_exl2_4.0bpw quantized exl2 — — other Dracones 0 55
Dracones/QVQ-72B-Preview_exl2_4.5bpw quantized exl2 — — other Dracones 0 54
Dracones/QVQ-72B-Preview_exl2_7.0bpw quantized exl2 — — other Dracones 0 53
Dracones/QVQ-72B-Preview_exl2_2.5bpw quantized exl2 — — other Dracones 0 42
sangeetha1993/Coder-Qwen finetune — — — mit sangeetha1993 0 0
DDBMST3W/OLE_ENG adapter — — — mit DDBMST3W 0 0
whitedell/YourAi finetune — — — apache-2.0 whitedell 0 0
rahmatov33/lotheus adapter — — — — rahmatov33 0 0
Jaythakur/clothify adapter — — — apache-2.0 Jaythakur 0 0

Repository changelog

11 commits

Repository changelog 11 commits

DateCommitSHA
2025-01-12 Update README.md 24425f6
2024-12-25 Update LICENSE 53b19b9
2024-12-24 Update preprocessor_config.json a45049b
2024-12-24 Update README.md decb20e
2024-12-24 Create LICENSE 5190b32
2024-12-24 Update README.md 352ec82
2024-12-24 Update README.md 5724f82
2024-12-24 Create README.md 55fe770
2024-12-24 Update chat_template.json fc9b0c2
2024-12-24 Upload folder using huggingface_hub e5d3a0d
2024-12-24 initial commit 980ce2b

Articles and coverage

2 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.io2024-12-24officialauthorityHN 5 pts · 0 comments1,156 words
QVQ-72B-Preview is an open-weight multimodal reasoning model built upon Qwen2-VL-72B that achieves a score of 70.3 on the MMMU benchmark. The model evaluates on four datasets, including OlympiadBench which contains 8,476 problems from Olympic mathematics and physics competitions, effectively closing the gap with the o1 model in math and science tasks. However, users should note limitations such as potential language mixing, recursive reasoning loops, and a tendency to lose focus on image content during multi-step visual reasoning.written, reviewed, cited
  • The model may mix languages or switch between them unexpectedly, affecting response clarity.
  • The team plans to integrate additional modalities into a unified model in the near future.

Analysis1

simonwillison.net2024-12-24authorityHN front pageabout the QVQ familyHN 236 pts · 82 comments1,751 words
QvQ-72B-Preview is a vision-focused follow-up to QwQ that uses a long chain-of-thought process to solve visual problems. The model downloads 38GB and runs locally on a 64GB M2 MacBook Pro using the mlx-vlm framework. It streams a very long response where it thinks through the problem you have posed it.written, reviewed, cited
  • The model accepts an image and a single prompt but offers no option to send a follow-up prompt.
  • The QwQ model repository continues to list Apache 2.0, distinguishing it from the QvQ license change.

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

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:40 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:12 UTC · Last verified 2026-10-25

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