Models › Qwen2.5 family

Qwen Qwen License (qwen-research) out 2 years ago

3.09B parameters, text in, text out, 32K tokens of context. 1 provider serves it.

Verified 2026-10-26 07:27 UTC Rank #212 in LLMs · score 88.3 method v1 Sources 3 Downloads 30d 192.5k · #252 of 619 tracked

Can I run it?1.9GB at INT4Estimatefits a 16 GB cardmethodCommunity: Qwen 2.5 3B Instruct — specs, VRAM, benchmarks (3B) | BestLLMfor →
Can I use it?Qwen License (qwen-research)Free below a usage thresholdlicence file2026-10-26
Do people use it?192.5kdownloads, 30 days#252 of 619 we track · top 41%+4 likes, downloads −13% this week219 likesHugging Face2026-10-26

Worth reading

Picked by rule from 34 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Latest · 2 years ago

Qwen2.5: A Party of Foundation Models

Qwen2.5 introduces dense decoder-only models pretrained on up to 18 trillion tokens, available in sizes from 0.5B to 72B parameters.

  • 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.
qwenlm.github.io 2024-09-18 168 HN pts · 38 comments 1.7k words about the Qwen2.5 family family

25 best of 34 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-Max: Exploring the intelligence of large-scale MoE modelqwenlm.github.io · 2025-01-28 · official
  5. ArticleQwenqwen.ai · undated · official
  6. ArticleQwen2.5-Coder-32B is an LLM that can code well that runs on my Macsimonwillison.net · 2024-11-13
  7. ArticleShow HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphscinegraphs.ai · 2026-02-08
  8. ArticleQwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1Msimonwillison.net · 2025-01-26
  9. ArticleQwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io · 2024-11-11 · official
  10. ArticleCivic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt dataitsmeduncan.com · 2026-04-25
  11. ArticleQwen2.5-VLqwenlm.github.io · 2025-01-27 · official
  12. CodeQwen2.5-Coder-32B with coding abilities matching those of GPT-4ogithub.com · 2024-11-09
  13. ArticleQwen2.5 Omni: See, Hear, Talk, Write, Do It Allqwenlm.github.io · 2025-03-26 · official
  14. ArticleAlibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Modelalizila.com · 2025-03-27
  15. ArticleQwen2.5-VL-32B: Smarter and Lightersimonwillison.net · 2025-03-25
  16. ArticleQwen2.5-LLM: Extending the boundary of LLMs | Qwenqwenlm.github.io · 2024-09-18 · official
  17. ArticleQwen2.5-Max: The Next Leap in AI Innovationmedium.com · 2025-01-29
  18. ArticleQwen2.5-Omni Technical Reporthuggingface.co · 2025-03-30
  19. PaperQwen2.5-Coder Technical Reportarxiv.org · 2024-11-11
  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. ArticleQwen 2.5 3B — 3.1B Dense LLM | FitMyLLMfitmyllm.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 Featherless — — — — Oct 26

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; heavily run locally (64 quantized builds); a big base for builders (1,069 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware64quantized builds
  • Built on1,069603 fine-tunes · 449 adapters · 17 merges
  • In apps39Hugging Face Spaces

Top Spaces running it: Sarath0x8f/Document-QA-bot ♥ 33 · stanley-00/slm-testing ♥ 9 · Noveumai/NovaEval ♥ 1 · Mohi117/nitish-sir-style-llm-demo ♥ 1

Will it fit?

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

Fits a 16 GB card at INT4

About 1.9 GB at INT4, 3.7 GB at FP8, 7.4 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 1.9 GB of weights (estimate; KV cache and activations extra)INT41.9 GBFP8: about 3.7 GB of weights (estimate; KV cache and activations extra)FP83.7 GBBF16: about 7.4 GB of weights (estimate; KV cache and activations extra)BF167.4 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 1.9 GB of weights (estimate; KV cache and activations extra)INT41.9 GBFP8: about 3.7 GB of weights (estimate; KV cache and activations extra)FP83.7 GBBF16: about 7.4 GB of weights (estimate; KV cache and activations extra)BF167.4 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 (2024-09-15), amber triangles are 3 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-20: 1 repo commit2024-09-19: 1 repo commit2024-09-18: 4 repo commits2024-09-17: 5 repo commits2024-09-16: 1 repo commit2024-09-15: 2 repo commitsQwen2.5: A Party of Foundation Models · 2024-09-18Qwen2.5-LLM: Extending the boundary of LLMs | Qwen · 2024-09-18Show HN: I made a free study tool powered by Qwen2.5 · 2025-01-28Weights 2024-09-15 · 2024-09-15Weights 2024-09-15now · 1 provider
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-20: 1 repo commit2024-09-19: 1 repo commit2024-09-18: 4 repo commits2024-09-17: 5 repo commits2024-09-16: 1 repo commit2024-09-15: 2 repo commitsQwen2.5: A Party of Foundation Models · 2024-09-18Qwen2.5-LLM: Extending the boundary of LLMs | Qwen · 2024-09-18Show HN: I made a free study tool powered by Qwen2.5 · 2025-01-28Weights 2024-09-15 · 2024-09-15Weights 2024-09-15now · 1 provider

What people built on it

1,133 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

1,133 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.

64 quantized (Hugging Face model tree)603 fine-tunes (Hugging Face model tree)17 merges (Hugging Face model tree)449 adapters (Hugging Face model tree)64 quantized603 fine-tunes17 merges449 adapters
64 quantized (Hugging Face model tree)603 fine-tunes (Hugging Face model tree)17 merges (Hugging Face model tree)449 adapters (Hugging Face model tree)64 quantized603 fine-tunes17 merges449 adapters

All variants →

Reference

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

What the card says

1 cited sentence

Summary generated, cited

It supports a context length of 32,768 tokens.[1]

  1. “Full 32,768 tokens”

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

4 use cases

What it is good at 4 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 LLMs

Facts

Pipeline tagtext-generation
ArchitecturesQwen2ForCausalLM
Model typeqwen2
Dtypebfloat16
Params by dtypeBF16: 3,085,938,688
Size bandM
MoEno
Context length32,768 (config.json max_position_embeddings)
Languagesen
PapersarXiv:2407.10671
LicenseQwen License (qwen-research) (other)
Hub snapshot2026-10-26

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen2ForCausalLM · 4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60SGLang: supported · Qwen2ForCausalLM · 60d941293e3af27a12c6eb64e2c3e2e1a17f100f

vLLM registry (4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60) · SGLang registry (60d941293e3af27a12c6eb64e2c3e2e1a17f100f) · 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 Qwen2.5-3B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)7.4 GB · Single GPU (<24 GB)
FP8 (1 byte/param)3.7 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)1.9 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: Qwen/Qwen2.5 1,133 derivatives on the Hub

finetune: 603quantized: 64merge: 17adapter: 449

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
mlx-community/Qwen2.5-3B-Instruct-4bit finetune -4bit 3.09B M other mlx-community 2 478.6k
unsloth/Qwen2.5-3B-bnb-4bit quantized -bnb 3.17B M other unsloth 4 182.1k
unsloth/Qwen2.5-3B-unsloth-bnb-4bit quantized -bnb 3.16B M apache-2.0 unsloth 0 175.5k
unsloth/Qwen2.5-3B finetune — 3.09B M other unsloth 6 136.8k
ehristoforu/coolqwen-3b-it finetune — 3.09B M other ehristoforu 3 111.2k
bartowski/Qwen2.5-3B-GGUF quantized GGUF — — — bartowski 6 60.2k
MaziyarPanahi/calme-3.1-instruct-3b finetune — 3.09B M other MaziyarPanahi 5 34.2k
MaziyarPanahi/calme-3.1-baguette-3b finetune — 3.09B M other MaziyarPanahi 1 33.6k
MaziyarPanahi/calme-3.2-instruct-3b finetune — 3.09B M other MaziyarPanahi 3 33.4k
MaziyarPanahi/calme-3.1-qwenloi-3b finetune — 3.09B M other MaziyarPanahi 2 33.3k
MaziyarPanahi/calme-3.2-baguette-3b finetune — 3.09B M other MaziyarPanahi 1 32.4k
UBC-NLP/NileChat-3B finetune — 3.40B M other UBC-NLP 24 29.6k
dphn/Dolphin3.0-Qwen2.5-3b finetune — 3.09B M other dphn 36 18.6k
ThomasBaruzier/Qwen2.5-3B-Instruct-GGUF quantized GGUF — — other ThomasBaruzier 1 19.3k
mradermacher/Qwen2.5-3B-i1-GGUF quantized GGUF — — other mradermacher 0 17.7k
Mungert/Qwen2.5-3B-Instruct-GGUF quantized GGUF — — other Mungert 5 15.5k
QuantFactory/Dolphin3.0-Qwen2.5-3b-GGUF quantized GGUF — — other QuantFactory 5 13k
mradermacher/Qwen2.5-3B-GGUF quantized GGUF — — other mradermacher 0 11.6k
MaziyarPanahi/calme-3.3-instruct-3b finetune — 3.09B M other MaziyarPanahi 5 10.5k
QuantFactory/Qwen2.5-3B-Instruct-GGUF quantized GGUF — — other QuantFactory 4 10.1k
CriteriaPO/qwen2.5-3b-sft-10 finetune — 3.09B M — CriteriaPO 0 9.1k
QuantFactory/raspberry-3B-GGUF quantized GGUF — — other QuantFactory 4 7.5k
Alijeff1214/DeutscheLexAI_BGB finetune — — — apache-2.0 Alijeff1214 0 6.8k
OpceanAI/Yuuki-NxG finetune — 3.09B M apache-2.0 OpceanAI 1 6.4k
arcee-ai/raspberry-3B finetune — 3.09B M other arcee-ai 39 3.9k
mlx-community/Qwen2.5-3B-Instruct-8bit finetune -8bit 3.09B M other mlx-community 0 5k
QuantFactory/Rombos-LLM-V2.5.1-Qwen-3b-GGUF merge GGUF — — other QuantFactory 1 4.7k
JohnDoes4321/Qwen2.5-3B-openvino finetune — — — other JohnDoes4321 0 4.5k
mariokart59/Qwen-2.5-3B-AQLM-OA-EM-2Bit-2x8 quantized — 1.01B S apache-2.0 mariokart59 1 4.4k
yapeichang/Qwen2.5-3B-RM8B finetune — — — apache-2.0 yapeichang 0 3.5k
EasierAI/Qwen-2.5-3B quantized GGUF — — — EasierAI 0 3.3k
Lansechen/Qwen2.5-3B-Open-R1-GRPO-math-selected-default finetune — 3.09B M — Lansechen 0 3.2k
Lansechen/Qwen2.5-3B-Open-R1-GRPO-math-selected-cosine-noRW finetune — 3.09B M — Lansechen 0 3.2k
UBC-NLP/NileChat-3B-Base finetune — 3.40B M other UBC-NLP 1 3.1k
mlx-community/Qwen2.5-3B-Instruct-bf16 finetune -bf16 3.09B M other mlx-community 1 2.9k
sunblaze-ucb/Qwen2.5-3B-Intuitor-MATH-1EPOCH finetune — 3.40B M apache-2.0 sunblaze-ucb 0 2.9k
DevQuasar-13/Qwen.Qwen2.5-3B-GGUF quantized GGUF — — — DevQuasar-13 1 2.7k
samuelchristlie/VibeThinker-3B-gguf quantized gguf — — mit samuelchristlie 0 2.7k
Volko76/Qwen2.5-Coder-3B-GGUF quantized GGUF — — other Volko76 0 2.6k
RedHatAI/Qwen2.5-3B-FP8-dynamic quantized -FP8 3.40B M apache-2.0 RedHatAI 1 2.5k

Repository changelog

14 commits

Repository changelog 14 commits

DateCommitSHA
2024-09-20 Upload ./tokenizer_config.json with huggingface_hub 3aab1f1
2024-09-19 Upload ./tokenizer_config.json with huggingface_hub e4aa5ac
2024-09-18 update README & LICENSE 4a34408
2024-09-18 Update LICENSE 31cceb5
2024-09-18 Update README.md 1dff604
2024-09-18 Create LICENSE 65fbb88
2024-09-17 Update README.md ddd8503
2024-09-17 Update README.md e866cb5
2024-09-17 Update README.md d9db0f6
2024-09-17 Update README.md 675011f
2024-09-17 Create README.md 695e1e4
2024-09-16 Upload tokenizer_config.json with huggingface_hub c10dcf3
2024-09-15 Upload folder using huggingface_hub a895be0
2024-09-15 initial commit e0dd11c

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen2.5-3B, 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
Featherless
hf
Qwen/Qwen2.5-3B — — — — — — — live 2026-10-26

Articles and coverage

34 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

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.
qwenlm.github.io2024-09-18officialauthorityabout the Qwen2.5 family4,262 words

Analysis8

bestllmfor.com
fitmyllm.com
q4km.ai
learn.engineering.vips.edu
emergentmind.com
help.aliyun.comabout the Qwen2.5 family
alllocalaimodels.com
freeflashcardgenerator.com2025-01-28about the Qwen2.5 familyHN 3 pts · 0 comments
All coverage tracked for this model (34) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Qwenqwen.ai official—2026-10-07exa
Qwen 2.5 3B Instruct — specs, VRAM, benchmarks (3B) | BestLLMforbestllmfor.com—2026-10-07exa
Qwen 2.5 3B — 3.1B Dense LLM | FitMyLLMfitmyllm.com—2026-10-07exa
Qwen2.5-3B-Instruct by Qwen - Overview, Benchmarks & Hardware | Q4KM.aiq4km.ai—2026-10-07exa
Qwen 2.5 3Blearn.engineering.vips.edu—2026-10-07exa
Qwen2.5-3B-Instruct Modelemergentmind.com—2026-10-07exa
Quick start: Fine-tune, evaluate, and deploy Qwen2.5 modelshelp.aliyun.com—2026-10-07exa
Qwen2.5-3B-Instruct — local specs and VRAMalllocalaimodels.com—2026-10-07exa
kev: Jev-like model built on Qwen2.5-0.5Bgithub.com2026-09-192026-10-07hn
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 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
Qwen2.5-LLM: Extending the boundary of LLMs | Qwenqwenlm.github.io official2024-09-182026-10-07exa

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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  • Llama-3.2-3B · 3.21B
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  • SmolLM3-3B · 3.08B
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Sources

3 sources

Sources

Hub snapshot: 2026-10-26 · HF API: 2026-10-26 07:18 UTC · Providers: 2026-10-26 07:26 UTC · Articles: 2026-10-26 07:27 UTC · Summary: 2026-10-07 15:04 UTC · Last verified 2026-10-26 07:27 UTC

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