Models › Qwen2.5 family

Qwen2.5-Coder-3B

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 2026-10-25 Rank #458 in LLMs · score 77.7 method v1 Sources 3 Downloads 30d 29.3k · #425 of 619 tracked

Changed this week: 1 new quantized build on the Hub (38 in all).2026-10-24

Can I run it?1.9GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Qwen License (qwen-research)Free below a usage thresholdlicence file2026-10-24
Do people use it?29.3kdownloads, 30 days#425 of 619 we track · below the median+4 likes, downloads −19% this week76 likesHugging Face2026-10-24

Worth reading

Picked by rule from 25 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 164 HN pts

Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac

Alibaba released the Qwen2.5-Coder-32B-Instruct model, an Apache 2.0 licensed open-source LLM.

  • The model requires a workaround for an SSL bug when using the standard library instead of requests or httpx.
  • Running the Ollama version was too slow because the author did not have the tool compiled to use the Mac's GPU.
simonwillison.net 2024-11-13 164 HN pts · 65 comments 635 words about the Qwen2.5 family family

25 best of 25 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. ArticleShow HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphscinegraphs.ai · 2026-02-08
  7. ArticleQwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1Msimonwillison.net · 2025-01-26
  8. ArticleQwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io · 2024-11-11 · 23 HN pts · official
  9. ArticleCivic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt dataitsmeduncan.com · 2026-04-25
  10. ArticleQwen2.5-VLqwenlm.github.io · 2025-01-27 · official
  11. CodeQwen2.5-Coder-32B with coding abilities matching those of GPT-4ogithub.com · 2024-11-09 · 21 HN pts
  12. ArticleQwen2.5 Omni: See, Hear, Talk, Write, Do It Allqwenlm.github.io · 2025-03-26 · official
  13. ArticleAlibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Modelalizila.com · 2025-03-27
  14. ArticleQwen2.5-VL-32B: Smarter and Lightersimonwillison.net · 2025-03-25
  15. ArticleQwen2.5-Max: The Next Leap in AI Innovationmedium.com · 2025-01-29
  16. ArticleQwen2.5-Omni Technical Reporthuggingface.co · 2025-03-30
  17. DiscussionQwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com · 2024-11-20 · 7 HN pts
  18. CodeQwen2.5-VL: State-of-the-art multimodal LLMgithub.com · 2025-01-30
  19. DiscussionNew Qwen2.5-Max Outperforms DeepSeek V3 in Benchmarkstwitter.com · 2025-01-28
  20. ArticleGuide how to use a local LLM Qwen2.5-coder-7B as an autocompelte in VSCodeeamag.me · 2024-10-29 · 4 HN pts
  21. ArticleQwen2.5-Pluschat.qwenlm.ai · 2025-01-31
  22. ArticleShow HN: I made a free study tool powered by Qwen2.5freeflashcardgenerator.com · 2025-01-28 · 3 HN pts
  23. ArticleQwen2.5 Coderollama.com · 2024-11-11 · 3 HN pts

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 25

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; 38 quantized builds for local use; a big base for builders (168 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware38quantized builds
  • Built on16870 fine-tunes · 96 adapters · 2 merges
  • In apps7Hugging Face Spaces

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 (2024-11-08), amber triangles are 9 dated articles (each links to it), grey ticks are repo commits.

What people built on it

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

206 derivatives on the Hub, led by 96 adapters

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

38 quantized (Hugging Face model tree)70 fine-tunes (Hugging Face model tree)2 merges (Hugging Face model tree)96 adapters (Hugging Face model tree)38 quantized70 fine-tunes2 merges96 adapters
38 quantized (Hugging Face model tree)70 fine-tunes (Hugging Face model tree)2 merges (Hugging Face model tree)96 adapters (Hugging Face model tree)38 quantized70 fine-tunes2 merges96 adapters

All variants →

Reference

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

What the card says

1 cited sentence

Summary generated, cited

Qwen2.5-Coder-3B is a 3.09B parameter causal language model designed for code generation, reasoning, and fixing.[1][2]

  1. parameters human
  2. “code generation, code reasoning and code fixing”

Generated 2026-10-07 15:11 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

22 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesQwen2ForCausalLM
Model typeqwen2
Dtypebfloat16
Params by dtypeBF16: 3,085,938,688
Size bandM
MoEno
Context length32,768 (config.json max_position_embeddings)
Languagesen
PapersarXiv:2409.12186, arXiv:2407.10671
LicenseQwen License (qwen-research) (other)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Qwen2ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Qwen2ForCausalLM · 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-Coder-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

Fine-tuned from Qwen/Qwen2.5-3B (same organization) Family: Qwen/Qwen2.5 206 derivatives on the Hub

Base model: Qwen/Qwen2.5-3B

finetune: 70quantized: 38adapter: 96merge: 2

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
WeiboAI/VibeThinker-3B finetune — 3.09B M mit WeiboAI 862 255k
bartowski/Qwen2.5-Coder-3B-GGUF quantized GGUF — — other bartowski 8 55.1k
ggml-org/Qwen2.5-Coder-3B-Q8_0-GGUF quantized Q8_0 — — other ggml-org 19 52.4k
unsloth/Qwen2.5-Coder-3B-bnb-4bit quantized -bnb 3.17B M apache-2.0 unsloth 4 52.1k
unsloth/Qwen2.5-Coder-3B finetune — 3.09B M apache-2.0 unsloth 5 24.9k
lmstudio-community/Qwen2.5-Coder-3B-GGUF quantized GGUF — — other lmstudio-community 3 17.6k
ThomasBaruzier/Qwen2.5-Coder-3B-Instruct-GGUF quantized GGUF — — other ThomasBaruzier 0 17.3k
mradermacher/Qwen2.5-Coder-3B-i1-GGUF quantized GGUF — — other mradermacher 0 10.1k
saidutta69/Qwen2.5-Coder-3B-Instruct-heretic quantized GGUF 3.09B M other saidutta69 1 8.7k
QuantFactory/Qwen2.5-Coder-3B-Instruct-GGUF quantized GGUF — — other QuantFactory 1 6.1k
fawazo/qwen2.5-coder-3b-pentest-gguf quantized gguf — — — fawazo 8 5.5k
mradermacher/Qwen2.5-Coder-3B-GGUF quantized GGUF — — other mradermacher 3 5.5k
prithivMLmods/Qwen2.5-Coder-3B-GGUF quantized GGUF — — creativeml-openrail-m prithivMLmods 4 4.6k
ikw/Qwen2.5-Coder-3B-GGUF quantized GGUF — — other ikw 0 4.4k
saidutta69/VibeThinker-3B-heretic quantized GGUF 3.09B M mit saidutta69 1 3.7k
mlx-community/Qwen2.5-Coder-3B-4bit quantized -4bit 3.09B M other mlx-community 2 3.6k
ICEPVP8977/Uncensored_Qwen2.5_Coder_3B quantized GGUF — — — ICEPVP8977 3 3k
zkxxxx/VibeThinker-3B-heretic quantized GGUF 3.09B M mit zkxxxx 4 2.6k
Volko76/Qwen2.5-Coder-3B-Instruct-GGUF quantized GGUF — — other Volko76 0 2.3k
Shrijanagain/TINY-THINKER-INSTRUCT quantized GGUF 3.09B M apache-2.0 Shrijanagain 4 2.1k
Atomic-Germ/Qwen2.5-3B-Coder-Instruct-NPU2 quantized — — — other Atomic-Germ 0 1.8k
DevQuasar-5/Qwen.Qwen2.5-Coder-3B-GGUF quantized GGUF — — — DevQuasar-5 1 1.7k
mlx-community/Qwen2.5-Coder-3B-8bit quantized -8bit 3.09B M other mlx-community 0 1.7k
MaziyarPanahi/Qwen2.5-Coder-3B-GGUF quantized GGUF — — — MaziyarPanahi 0 1.5k
Nellyw888/VeriReason-Qwen2.5-3b-RTLCoder-Verilog-GRPO-reasoning-tb finetune — 3.09B M — Nellyw888 1 1.5k
sriyuth/ari-assistant-3b quantized GGUF 3.09B M apache-2.0 sriyuth 1 1.1k
itlwas/Qwen2.5-Coder-3B-Q4_K_M-GGUF quantized GGUF — — other itlwas 0 938
Dingdust/VibeThinker-3B-heretic finetune — 3.09B M mit Dingdust 3 761
ShacharNar/qwen2.5_coder_3b_sqlfuse_probgate_only_answerable_delimeters_eos finetune — 3.09B M other ShacharNar 0 864
olegshulyakov/Qwen2.5-Coder-3B-GGUF quantized GGUF — — other olegshulyakov 1 701
mlx-community/Qwen2.5-Coder-3B-bf16 finetune -bf16 3.09B M other mlx-community 0 744
ArnavM3434/swe-3b-backdoor-base finetune — 3.09B M other ArnavM3434 0 729
bkideas/Qwen2.5-Coder-3B-MLX-nvfp4 quantized MLX 3.09B M apache-2.0 bkideas 0 696
RecursiveMAS/Mixture-Code-Qwen2.5-Coder-3B finetune — 3.09B M mit RecursiveMAS 1 630
masato25/Qwen2.5-Coder-3B-Arbor-4bit quantized -4bit 3.09B M other masato25 2 577
Terminator278/Qwen2.5-Coder-3B-GGUF quantized GGUF — — creativeml-openrail-m Terminator278 0 601
recursivecurse/qwen2.5-coder-3b-vitest.Q4_K_M.gguf adapter gguf — — mit recursivecurse 1 495
whywhywhywhy/security-qwen2.5-3b-coder-instruct finetune — 3.09B M apache-2.0 whywhywhywhy 3 358
logicbeat/Qwen2.5-Coder-3B-Q6-mlx quantized mlx 3.09B M other logicbeat 1 454
motokonltk/3b-sft-base finetune — 3.09B M other motokonltk 0 499

Repository changelog

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

Repository changelog 10 commits

DateCommitSHA
2024-11-18 update tokenizer_config.json,config.json,generation_config.json 09d9bc5
2024-11-11 update README.md 3c8eeaa
2024-11-11 update README.md 5cf563d
2024-11-11 Update README.md 8ab93d6
2024-11-11 update README.md 5b748b5
2024-11-09 Update README.md d2b9ec5
2024-11-08 Update README.md 63b6fd1
2024-11-08 Create README.md b7b271f
2024-11-08 Upload folder using huggingface_hub ddd4353
2024-11-08 initial commit d49a77b

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen2.5-Coder-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-Coder-3B — — — — — — — live 2026-10-25

Articles and coverage

25 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.io2024-11-11officialauthorityabout the Qwen2.5 familyHN 23 pts · 0 comments1,210 words

Analysis6

simonwillison.net2024-11-13authorityHN front pageabout the Qwen2.5 familyHN 164 pts · 65 comments635 words
Alibaba released the Qwen2.5-Coder-32B-Instruct model, an Apache 2.0 licensed open-source LLM. The 32B model runs on a 64GB MacBook Pro M2 via Ollama or MLX, fetching a 20GB quantized file. On MLX, it achieved 10.016 tokens-per-sec generation speed with 32.685 GB peak memory usage.written, reviewed, cited
  • The model requires a workaround for an SSL bug when using the standard library instead of requests or httpx.
  • Running the Ollama version was too slow because the author did not have the tool compiled to use the Mac's GPU.
github.com2024-11-09authorityabout the Qwen2.5 familyHN 21 pts · 6 comments1,815 words
arxiv.org2024-11-11authorityabout the Qwen2.5 familyHN 4 pts · 0 comments
eamag.me2024-10-29about the Qwen2.5 familyHN 4 pts · 0 comments
ollama.com2024-11-11about the Qwen2.5 familyHN 3 pts · 0 comments
freeflashcardgenerator.com2025-01-28about the Qwen2.5 familyHN 3 pts · 0 comments

Community1

news.ycombinator.com2024-11-20about the Qwen2.5 familyHN 7 pts · 4 comments
All coverage tracked for this model (25) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
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

Papers

2 papers

Papers 2

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-Instruct · 3.21B
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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: 2026-10-25 · HF API: 2026-10-24 21:39 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:11 UTC · Last verified 2026-10-25

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