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Models › Qwen2.5 family

Qwen2.5-Omni-7B

Hugging Face ↗ Follow changes

Qwen Apache 2.0 (apache-2.0) out 19 months ago

10.7B parameters, several kinds of input and output.

Verified 2026-10-25 Rank #143 in LLMs · score 93.6 method v1 Sources 3 Downloads 30d 289.5k · #223 of 619 tracked

Can I run it?6.4GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0 (apache-2.0)Permissivelicence file2026-10-24
Do people use it?289.5kdownloads, 30 days#223 of 619 we track · top 36%+4 likes, downloads −4% this week1,968 likesHugging Face2026-10-24

Worth reading

Picked by rule from 32 tracked pieces: the lab's own post, the most shared, a field report, the latest.

25 best of 32 tracked

The 2 picks above, plus these 23. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. Codekev: Jev-like model built on Qwen2.5-0.5Bgithub.com · 2026-09-19
  2. ArticleQwen2.5-VL-32B: Smarter and Lighterqwenlm.github.io · 2025-03-24 · official
  3. ArticleQwen2.5-1M: Deploy your own Qwen with context length up to 1M tokensqwenlm.github.io · 2025-01-26 · official
  4. ArticleQwen2.5: A Party of Foundation Modelsqwenlm.github.io · 2024-09-18 · 168 HN pts · official
  5. ArticleQwen2.5-Max: Exploring the intelligence of large-scale MoE modelqwenlm.github.io · 2025-01-28 · official
  6. ArticleQwen2.5-Coder-32B is an LLM that can code well that runs on my Macsimonwillison.net · 2024-11-13
  7. ArticleQwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1Msimonwillison.net · 2025-01-26 · 98 HN pts
  8. ArticleQwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io · 2024-11-11 · official
  9. ArticleQwen2.5-VLqwenlm.github.io · 2025-01-27 · official
  10. CodeQwen2.5-Coder-32B with coding abilities matching those of GPT-4ogithub.com · 2024-11-09
  11. ArticleQwen2.5 Omni: See, Hear, Talk, Write, Do It Allqwenlm.github.io · 2025-03-26 · 5 HN pts · official
  12. ArticleAlibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Modelalizila.com · 2025-03-27 · 29 HN pts
  13. ArticleQwen2.5-VL-32B: Smarter and Lightersimonwillison.net · 2025-03-25
  14. ArticleQwen2.5-Max: The Next Leap in AI Innovationmedium.com · 2025-01-29
  15. ArticleQwen2.5-Omni Technical Reporthuggingface.co · 2025-03-30 · 6 HN pts
  16. PaperQwen2.5-Coder Technical Reportarxiv.org · 2024-11-11
  17. ArticleQwen2.5-Omni review: Open-source model beats GPT-4o-mini and Gemini | SevenTnewSseventnews.com · 2026-08-03
  18. ArticleQwen2.5-Omni analysis: 7B omni model runs on phonesseventnews.com · 2026-07-23
  19. ArticleQwen2.5-Omni: Alibaba's open multimodal model that speaksseventnews.com · 2026-07-20
  20. DiscussionQwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com · 2024-11-20
  21. CodeQwen2.5-VL: State-of-the-art multimodal LLMgithub.com · 2025-01-30
  22. DiscussionNew Qwen2.5-Max Outperforms DeepSeek V3 in Benchmarkstwitter.com · 2025-01-28
  23. ArticleQwen2.5-Omni Technical Reportraw.githubusercontent.com · undated

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: 25 quantized builds and 100 Spaces.

  • As a service0no API provider listed
  • On own hardware25quantized builds
  • Built on14280 fine-tunes · 60 adapters · 2 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: Lightricks/ltx-2-distilled ♥ 221 · Lightricks/ltx-2 ♥ 79 · Steveeeeeeen/SpeechLLM-Playbook ♥ 42 · linoyts/ltx-2-first-last-frame ♥ 37

Will it fit?

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

Fits a 16 GB card at INT4

About 6.4 GB at INT4, 13 GB at FP8, 26 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 6.4 GB of weights (estimate; KV cache and activations extra)INT46.4 GBFP8: about 13 GB of weights (estimate; KV cache and activations extra)FP813 GBBF16: about 26 GB of weights (estimate; KV cache and activations extra)BF1626 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 6.4 GB of weights (estimate; KV cache and activations extra)INT46.4 GBFP8: about 13 GB of weights (estimate; KV cache and activations extra)FP813 GBBF16: about 26 GB of weights (estimate; KV cache and activations extra)BF1626 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 (2025-03-22), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-04-30: 1 repo commit2025-04-15: 1 repo commit2025-04-11: 1 repo commit2025-03-31: 1 repo commit2025-03-28: 2 repo commits2025-03-26: 9 repo commits2025-03-22: 1 repo commitQwen2.5: A Party of Foundation Models · 2024-09-18Show HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphs · 2026-02-08Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M · 2025-01-26Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt data · 2026-04-25Qwen2.5 Omni: See, Hear, Talk, Write, Do It All · 2025-03-26Alibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Model · 2025-03-27Qwen2.5-Omni Technical Report · 2025-03-30Qwen2.5-Omni review: Open-source model beats GPT-4o-mini and Gemini | SevenTnewS · 2026-08-03Qwen2.5-Omni analysis: 7B omni model runs on phones · 2026-07-23Qwen2.5-Omni: Alibaba's open multimodal model that speaks · 2026-07-20Weights 2025-03-22 · 2025-03-22Weights 2025-03-22now
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2025-04-30: 1 repo commit2025-04-15: 1 repo commit2025-04-11: 1 repo commit2025-03-31: 1 repo commit2025-03-28: 2 repo commits2025-03-26: 9 repo commits2025-03-22: 1 repo commitQwen2.5: A Party of Foundation Models · 2024-09-18Show HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphs · 2026-02-08Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M · 2025-01-26Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt data · 2026-04-25Qwen2.5 Omni: See, Hear, Talk, Write, Do It All · 2025-03-26Alibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Model · 2025-03-27Qwen2.5-Omni Technical Report · 2025-03-30Qwen2.5-Omni review: Open-source model beats GPT-4o-mini and Gemini | SevenTnewS · 2026-08-03Qwen2.5-Omni analysis: 7B omni model runs on phones · 2026-07-23Qwen2.5-Omni: Alibaba's open multimodal model that speaks · 2026-07-20Weights 2025-03-22 · 2025-03-22Weights 2025-03-22now

What people built on it

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

167 derivatives on the Hub, led by 80 fine-tunes

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

25 quantized (Hugging Face model tree)80 fine-tunes (Hugging Face model tree)2 merges (Hugging Face model tree)60 adapters (Hugging Face model tree)25 quantized80 fine-tunes2 merges60 adapters
25 quantized (Hugging Face model tree)80 fine-tunes (Hugging Face model tree)2 merges (Hugging Face model tree)60 adapters (Hugging Face model tree)25 quantized80 fine-tunes2 merges60 adapters
GGUF unsloth/Qwen2.5-Omni-7B-GGUF for llama.cpp, Ollama, LM Studio 195.2k downloads MLX giangndm/qwen2.5-omni-7b-mlx-4bit for Apple silicon 1.9k downloads GPTQ FunAGI/Qwen2.5-Omni-7B-GPTQ-4bit for vLLM, SGLang 6.5k downloads

All variants →

Reference

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

What the card says

1 cited sentence

Summary generated, cited

The model perceives text, images, audio, and video to generate text and natural speech responses.[1]

  1. “perceive diverse modalities, including text, images, audi…”

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

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 tagany-to-any
Librarytransformers
ArchitecturesQwen2_5OmniModel
Model typeqwen2_5_omni
Dtypebfloat16
Params by dtypeBF16: 10,283,174,144 · F32: 449,051,296
Size bandL
MoEno
Languagesen
PapersarXiv:2503.20215
LicenseApache 2.0 (apache-2.0) (other)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen2_5OmniModel · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: not in registry · 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 Qwen2.5-Omni-7B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)26 GB · Single high-end GPU (<80 GB)
FP8 (1 byte/param)13 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)6.4 GB · Single GPU (<24 GB)

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

All variants

40 variants

Lineage

Original model Family: Qwen/Qwen2.5 167 derivatives on the Hub

finetune: 80quantized: 25adapter: 60merge: 2

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
mispeech/midashenglm-7b-0804-fp32 finetune — 8.28B M apache-2.0 mispeech 83 782.4k
unsloth/Qwen2.5-Omni-7B-GGUF quantized GGUF — — other unsloth 92 195.2k
Haon-Chen/e5-omni-7B finetune — 8.93B M mit Haon-Chen 11 185.5k
ggml-org/Qwen2.5-Omni-7B-GGUF quantized GGUF — — other ggml-org 26 176.6k
AVoCaDO-Captioner/AVoCaDO finetune — 8.93B M apache-2.0 AVoCaDO-Captioner 7 39.4k
Tevatron/OmniEmbed-v0.1 finetune — — — mit Tevatron 33 25.3k
yaolily/TimeChat-Captioner-GRPO-7B finetune — 8.93B M — yaolily 5 11.2k
mradermacher/Qwen2.5-Omni-7B-i1-GGUF quantized GGUF — — other mradermacher 1 11.2k
mradermacher/Qwen2.5-Omni-7B-GGUF quantized GGUF — — other mradermacher 3 9.6k
FunAGI/Qwen2.5-Omni-7B-GPTQ-4bit quantized GPTQ 10.7B L mit FunAGI 56 6.5k
88plug/Qwen2.5-Omni-7B-W4A16 quantized -W4A16 10.7B L apache-2.0 88plug 0 9.1k
Sci-fi-vy/Qwen2.5-Omni-7B-GGUF quantized GGUF — — apache-2.0 Sci-fi-vy 0 8.7k
mispeech/midashenglm-7b-1021-bf16 finetune -bf16 8.28B M apache-2.0 mispeech 3 7.2k
unsloth/Qwen2.5-Omni-7B finetune — 10.7B L other unsloth 6 6.9k
RMSnow/SpeechJudge-GRM finetune — 10.7B L cc-by-nc-4.0 RMSnow 9 5.8k
Intel/Qwen2.5-Omni-7B-int4-AutoRound quantized int4 5.08B M apache-2.0 Intel 3 4k
lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA-Omni adapter — — — other lightx2v 56 1.1k
ddwang2000/EmotionThinker finetune — 8.93B M apache-2.0 ddwang2000 1 3.8k
mispeech/midashenglm-7b-1021-gguf finetune gguf — — apache-2.0 mispeech 3 3.6k
jongwooko/Flex-Omni-7B finetune — 10.7B L — jongwooko 2 3.4k
findingispointless/Qwen2.5-Omni-7B-GGUF quantized GGUF — — other findingispointless 0 3.3k
Kjppmp/Qwen2.5-Omni-7B-GGUF quantized GGUF — — other Kjppmp 1 3.3k
tsinghua-ee/WAVE-7B finetune — — — apache-2.0 tsinghua-ee 6 2.4k
antgroup/HumanSense_Omni_Reasoning finetune — 8.93B M apache-2.0 antgroup 8 2.2k
Haoz0206/Omni-R1 finetune — 8.93B M bsd-2-clause Haoz0206 23 1.5k
mispeech/midashenglm-7b-0804-bf16 finetune -bf16 8.28B M apache-2.0 mispeech 0 2.5k
giangndm/qwen2.5-omni-7b-mlx-4bit finetune mlx 8.26B M other giangndm 2 1.9k
KE-Team/Ke-Omni-R finetune — 8.93B M apache-2.0 KE-Team 4 1.7k
TianmuLab/Tianmu-Emb-Uni finetune — 8.96B M apache-2.0 TianmuLab 2 1.2k
alibaybay/MiniMax-H3-Prompt-Rewriter-GGUF quantized GGUF — — apache-2.0 alibaybay 1 1.2k
ohbeggar/Qwen2.5-Omni-7B-Q8_0-GGUF quantized Q8_0 — — other ohbeggar 0 1.2k
johnwuisman/qwen2.5-omni-7B-oss120b-distill quantized GGUF — — other johnwuisman 0 1.2k
88plug/Qwen2.5-Omni-7B-W8A16 quantized — 10.7B L apache-2.0 88plug 0 1.2k
giangndm/qwen2.5-omni-7b-mlx-8bit finetune mlx 8.26B M other giangndm 1 1.1k
AudioVisual-Caption/ASID-Captioner-7B finetune — 8.93B M apache-2.0 AudioVisual-Caption 8 563
steampunque/Qwen2.5-Omni-7B-MP-GGUF quantized GGUF — — apache-2.0 steampunque 1 880
harryhsing/EchoInk-R1-7B finetune — 8.93B M apache-2.0 harryhsing 3 776
mispeech/midashenglm-7b-1021-fp32 finetune — 8.28B M apache-2.0 mispeech 2 735
boyuzhuGPT/Qwen2.5-Omni-7B-Safety-ZeroAudio finetune — 10.7B L apache-2.0 boyuzhuGPT 0 823
kkioikk/Qwen2.5-Omni-7B-Q4_K_M-GGUF quantized GGUF — — other kkioikk 0 793

Repository changelog

16 commits

Repository changelog 16 commits

DateCommitSHA
2025-04-30 Upload README.md ae9e169
2025-04-15 Update README.md 08f233e
2025-04-11 Update README.md dc4921a
2025-03-31 Upload 2 files 67f8902
2025-03-28 Upload README.md c1169d7
2025-03-28 Upload config.json ad71514
2025-03-26 Add `Any-to-Any` tag (#1) 5e19b3e
2025-03-26 Update README.md ead8454
2025-03-26 Update README.md fbeb40e
2025-03-26 Update README.md bb2b272
2025-03-26 Update README.md 6bd5dde
2025-03-26 Update README.md edd4b81
2025-03-26 Update README.md 2bcdaac
2025-03-26 upload files 4728b48
2025-03-26 upload checkpoint 24979e2
2025-03-22 initial commit 2f8db59

Articles and coverage

32 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.

Official2

Qwen2.5: A Party of Foundation Models
qwenlm.github.io2024-09-18officialauthorityHN front pageabout the Qwen2.5 familyHN 168 pts · 38 comments1,744 words
Qwen2.5 introduces dense decoder-only models pretrained on up to 18 trillion tokens, available in sizes from 0.5B to 72B parameters. Most variants are licensed under Apache 2.0, excluding the 3B and 72B models, and support a 128K context window with 8K generation limits. Specialized versions for coding and mathematics offer enhanced performance on benchmarks like HumanEval and MATH.written, reviewed, cited
  • Qwen2.5-Coder-7B-Instruct outperforms many larger language models across a range of programming languages and tasks.
  • Qwen2.5-Math-72B-Instruct general performance surpasses both Qwen2-Math-72B-Instruct and GPT4-o.
Qwen2.5 Omni: See, Hear, Talk, Write, Do It All
qwenlm.github.io2025-03-26officialauthorityabout the Qwen2.5 familyHN 5 pts · 0 comments

Analysis8

Show HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphs
cinegraphs.ai2026-02-08HN front pageHN 101 pts · 20 comments
Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M
simonwillison.net2025-01-26authorityHN 98 pts · 2 comments627 words
Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt data
itsmeduncan.com2026-04-25HN 9 pts · 0 comments646 words
Alibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Model
alizila.com2025-03-27HN 29 pts · 3 comments
Qwen2.5-Omni Technical Report
huggingface.co2025-03-30authorityabout the Qwen2.5 familyHN 6 pts · 0 comments
Qwen2.5-Omni review: Open-source model beats GPT-4o-mini and Gemini | SevenTnewS
seventnews.com2026-08-03about the Qwen2.5 family
Qwen2.5-Omni analysis: 7B omni model runs on phones
seventnews.com2026-07-23about the Qwen2.5 family
Qwen2.5-Omni: Alibaba's open multimodal model that speaks
seventnews.com2026-07-20about the Qwen2.5 family
All coverage tracked for this model (32) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Qwen2.5-Omni Technical Reportraw.githubusercontent.com—2026-10-07exa
Key Features and Benchmarks | QwenLM/Qwen2.5-Omni | DeepWikideepwiki.com—2026-10-07exa
Qwen2.5-Omni-7B by Qwen: Open-Weight Modelsavrn.com—2026-10-07exa
kev: Jev-like model built on Qwen2.5-0.5Bgithub.com2026-09-192026-10-07hn
Qwen2.5-Omni review: Open-source model beats GPT-4o-mini and Gemini | SevenTnewSseventnews.com2026-08-032026-10-07exa
Qwen2.5-Omni analysis: 7B omni model runs on phonesseventnews.com2026-07-232026-10-07exa
Qwen2.5-Omni: Alibaba's open multimodal model that speaksseventnews.com2026-07-202026-10-07exa
Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt dataitsmeduncan.com2026-04-252026-10-07hn
Show HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphscinegraphs.ai2026-02-082026-10-07hn
Qwen2.5-Omni Technical Report: Analysis, Review & Summary | Paperiumpaperium.net2026-02-072026-10-07exa
Qwen2.5-Omni Technical Reporthuggingface.co2025-03-302026-10-07hn
Alibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Modelalizila.com2025-03-272026-10-07hn
Qwen2.5 Omni: See, Hear, Talk, Write, Do It Allqwenlm.github.io official2025-03-262026-10-07hn
Qwen2.5-VL-32B: Smarter and Lightersimonwillison.net2025-03-252026-10-07hn
Qwen2.5-VL-32B: Smarter and Lighterqwenlm.github.io official2025-03-242026-10-07hn
Qwen2.5-Pluschat.qwenlm.ai2025-01-312026-10-07hn
Qwen2.5-VL: State-of-the-art multimodal LLMgithub.com2025-01-302026-10-07hn
Qwen2.5-Max: The Next Leap in AI Innovationmedium.com2025-01-292026-10-07hn
New Qwen2.5-Max Outperforms DeepSeek V3 in Benchmarkstwitter.com2025-01-282026-10-07hn
Qwen2.5-Max: Exploring the intelligence of large-scale MoE modelqwenlm.github.io official2025-01-282026-10-07hn
Show HN: I made a free study tool powered by Qwen2.5freeflashcardgenerator.com2025-01-282026-10-07hn
Qwen2.5-VLqwenlm.github.io official2025-01-272026-10-07hn
Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1Msimonwillison.net2025-01-262026-10-07hn
Qwen2.5-1M: Deploy your own Qwen with context length up to 1M tokensqwenlm.github.io official2025-01-262026-10-07hn
Qwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com2024-11-202026-10-07hn
Qwen2.5-Coder-32B is an LLM that can code well that runs on my Macsimonwillison.net2024-11-132026-10-07hn
Qwen2.5-Coder Technical Reportarxiv.org2024-11-112026-10-07hn
Qwen2.5 Coderollama.com2024-11-112026-10-07hn
Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io official2024-11-112026-10-07hn
Qwen2.5-Coder-32B with coding abilities matching those of GPT-4ogithub.com2024-11-092026-10-07hn
Guide how to use a local LLM Qwen2.5-coder-7B as an autocompelte in VSCodeeamag.me2024-10-292026-10-07hn
Qwen2.5: A Party of Foundation Modelsqwenlm.github.io official2024-09-182026-10-07hn

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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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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