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Models › Qwen2.5 family

Qwen2.5-Coder-1.5B

Hugging Face ↗ Follow changes

Qwen Apache 2.0 out 2 years ago

1.54B parameters, text in, text out, 32K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #226 in LLMs · score 87.5 method v1 Sources 3 Downloads 30d 380.9k · #187 of 619 tracked

Can I run it?0.9GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?380.9kdownloads, 30 days#187 of 619 we track · top 30%+4 likes, downloads −5% this week130 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.

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
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 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-Max: Exploring the intelligence of large-scale MoE modelqwenlm.github.io · 2025-01-28 · official
  5. ArticleQwen2.5-Coder Series: Powerful, Diverse, Practical.qwen.ai · undated · 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. PaperQwen2.5-Coder Technical Report - arXivarxiv.org · undated
  9. PaperQwen2.5-Coder Technical Reportarxiv.org · undated
  10. ArticleQwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io · 2024-11-11 · 23 HN pts · official
  11. ArticleCivic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt dataitsmeduncan.com · 2026-04-25
  12. ArticleQwen2.5-VLqwenlm.github.io · 2025-01-27 · official
  13. CodeQwen2.5-Coder-32B with coding abilities matching those of GPT-4ogithub.com · 2024-11-09 · 21 HN pts
  14. ArticleQwen2.5 Omni: See, Hear, Talk, Write, Do It Allqwenlm.github.io · 2025-03-26 · official
  15. ArticleAlibaba Qwen2.5-Omni-7B: Open Source End-to-End Multimodal AI Modelalizila.com · 2025-03-27
  16. CodeREADME.mdgithub.com · undated
  17. ArticleQwen2.5-VL-32B: Smarter and Lightersimonwillison.net · 2025-03-25
  18. ArticleQwen2.5-Max: The Next Leap in AI Innovationmedium.com · 2025-01-29
  19. ArticleQwen2.5-Omni Technical Reporthuggingface.co · 2025-03-30
  20. PaperQwen2.5-Coder Technical Reportarxiv.org · 2024-11-11 · 4 HN pts
  21. DiscussionQwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com · 2024-11-20 · 7 HN pts
  22. CodeQwen2.5-VL: State-of-the-art multimodal LLMgithub.com · 2025-01-30
  23. DiscussionNew Qwen2.5-Max Outperforms DeepSeek V3 in Benchmarkstwitter.com · 2025-01-28

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; heavily run locally (55 quantized builds); a big base for builders (148 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware55quantized builds
  • Built on14867 fine-tunes · 53 adapters · 28 merges
  • In apps26Hugging Face Spaces

Top Spaces running it: gchoi/Qwen-Qwen2.5-Coder-7B-Instruct ♥ 1 · tudorizer/tiny-coder ♥ 1 · orca99/auto-mininet ♥ 1 · build-small-hackathon/vulnscout ♥ 1

Will it fit?

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

Fits a 16 GB card at INT4

About 0.9 GB at INT4, 1.9 GB at FP8, 3.7 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.9 GB of weights (estimate; KV cache and activations extra)INT40.9 GBFP8: about 1.9 GB of weights (estimate; KV cache and activations extra)FP81.9 GBBF16: about 3.7 GB of weights (estimate; KV cache and activations extra)BF163.7 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.9 GB of weights (estimate; KV cache and activations extra)INT40.9 GBFP8: about 1.9 GB of weights (estimate; KV cache and activations extra)FP81.9 GBBF16: about 3.7 GB of weights (estimate; KV cache and activations extra)BF163.7 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.

6 dated articles and 21 repo commits so far

Teal is the weights (2024-09-18), amber triangles are 6 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-11-18: 1 repo commit2024-11-12: 1 repo commit2024-11-11: 1 repo commit2024-11-09: 1 repo commit2024-11-08: 2 repo commits2024-09-25: 1 repo commit2024-09-20: 5 repo commits2024-09-19: 2 repo commits2024-09-18: 7 repo commitsQwen2.5: A Party of Foundation Models · 2024-09-18Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac · 2024-11-13Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding · 2024-11-11Qwen2.5-Coder-32B with coding abilities matching those of GPT-4o · 2024-11-09Qwen2.5-Coder Technical Report · 2024-11-11Qwen2.5-coder on the events occurring during the Tiananmen Square protests · 2024-11-20Weights 2024-09-18 · 2024-09-18Weights 2024-09-18now · 1 provider
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-11-18: 1 repo commit2024-11-12: 1 repo commit2024-11-11: 1 repo commit2024-11-09: 1 repo commit2024-11-08: 2 repo commits2024-09-25: 1 repo commit2024-09-20: 5 repo commits2024-09-19: 2 repo commits2024-09-18: 7 repo commitsQwen2.5: A Party of Foundation Models · 2024-09-18Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac · 2024-11-13Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding · 2024-11-11Qwen2.5-Coder-32B with coding abilities matching those of GPT-4o · 2024-11-09Qwen2.5-Coder Technical Report · 2024-11-11Qwen2.5-coder on the events occurring during the Tiananmen Square protests · 2024-11-20Weights 2024-09-18 · 2024-09-18Weights 2024-09-18now · 1 provider

What people built on it

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

203 derivatives on the Hub, led by 67 fine-tunes

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

55 quantized (Hugging Face model tree)67 fine-tunes (Hugging Face model tree)28 merges (Hugging Face model tree)53 adapters (Hugging Face model tree)55 quantized67 fine-tunes28 merges53 adapters
55 quantized (Hugging Face model tree)67 fine-tunes (Hugging Face model tree)28 merges (Hugging Face model tree)53 adapters (Hugging Face model tree)55 quantized67 fine-tunes28 merges53 adapters
GGUF ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF for llama.cpp, Ollama, LM Studio 100.8k downloads MLX mlx-community/Qwen2.5-Coder-1.5B-Instruct-4bit for Apple silicon 646.2k downloads

All variants →

Reference

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

What the card says

2 cited sentences

Summary generated, cited

Qwen2.5-Coder-1.5B is a 1.54B parameter causal language model designed for code generation, reasoning, and fixing.[1][2] It supports a context length of 32,768 tokens.[3]

  1. parameters human
  2. “code generation, code reasoning and code fixing”
  3. “Context Length: 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

22 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesQwen2ForCausalLM
Model typeqwen2
Dtypebfloat16
Params by dtypeBF16: 1,543,714,304
Size bandS
MoEno
Context length32,768 (config.json max_position_embeddings)
Languagesen
PapersarXiv:2409.12186, arXiv:2407.10671
LicenseApache 2.0 (apache-2.0)
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-1.5B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)3.7 GB · Edge (<4 GB)
FP8 (1 byte/param)1.9 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)0.9 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/Qwen2.5-1.5B (same organization) Family: Qwen/Qwen2.5 203 derivatives on the Hub

Base model: Qwen/Qwen2.5-1.5B

finetune: 67quantized: 55adapter: 53merge: 28

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
jinaai/jina-code-embeddings-1.5b finetune — 1.54B S cc-by-nc-4.0 jinaai 54 649.9k
mlx-community/Qwen2.5-Coder-1.5B-Instruct-4bit finetune -4bit 1.54B S apache-2.0 mlx-community 2 646.2k
ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF quantized Q8_0 — — apache-2.0 ggml-org 23 100.8k
unsloth/Qwen2.5-Coder-1.5B-bnb-4bit quantized -bnb 1.58B S apache-2.0 unsloth 4 58.7k
unsloth/Qwen2.5-Coder-1.5B finetune — 1.54B S apache-2.0 unsloth 6 18.8k
QuantFactory/Qwen2.5-Coder-1.5B-Instruct-GGUF quantized GGUF — — apache-2.0 QuantFactory 3 18.7k
ThomasBaruzier/Qwen2.5-Coder-1.5B-Instruct-GGUF quantized GGUF — — apache-2.0 ThomasBaruzier 2 15.3k
RichardErkhov/TechxGenus_-_CursorCore-QW2.5-1.5B-gguf quantized gguf — — apache-2.0 RichardErkhov 1 13.6k
mradermacher/Qwen2.5-Coder-1.5B-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 1 11.7k
prithivMLmods/Qwen2.5-Coder-1.5B-GGUF quantized GGUF — — creativeml-openrail-m prithivMLmods 5 10.3k
RichardErkhov/TechxGenus_-_CursorCore-QW2.5-1.5B-SR-gguf quantized gguf — — apache-2.0 RichardErkhov 0 8.3k
TobiasLogic/qwen-2.5-coder-Uncensored adapter GGUF — — apache-2.0 TobiasLogic 5 8k
mradermacher/Qwen2.5-Coder-1.5B-GGUF quantized GGUF — — apache-2.0 mradermacher 0 6.8k
QuantFactory/CursorCore-QW2.5-1.5B-SR-GGUF quantized GGUF — — apache-2.0 QuantFactory 1 5.3k
tensorblock/Qwen2.5-Coder-1.5B-GGUF quantized GGUF — — apache-2.0 tensorblock 1 5.2k
ikw/Qwen2.5-Coder-1.5B-GGUF quantized GGUF — — apache-2.0 ikw 0 3.6k
featherless-ai-quants/Qwen-Qwen2.5-Coder-1.5B-GGUF quantized GGUF — — — featherless-ai-quants 1 2.9k
my-ai-stack/Stack-2-9-finetuned finetune — — — apache-2.0 my-ai-stack 1 2.7k
Volko76/Qwen2.5-Coder-1.5B-Instruct-GGUF quantized GGUF — — apache-2.0 Volko76 0 2.3k
mlx-community/Qwen2.5-Coder-1.5B-Instruct-bf16 finetune -bf16 1.54B S apache-2.0 mlx-community 2 2k
mlx-community/Qwen2.5-Coder-1.5B-Instruct-8bit finetune -8bit 1.54B S apache-2.0 mlx-community 1 2k
MaziyarPanahi/Qwen2.5-Coder-1.5B-GGUF quantized GGUF — — — MaziyarPanahi 0 2k
itlwas/Qwen2.5-Coder-1.5B-Q4_K_M-GGUF quantized GGUF — — apache-2.0 itlwas 0 1.9k
ggml-org/Qwen2.5-Coder-1.5B-IQ3_XXS-GGUF quantized GGUF — — apache-2.0 ggml-org 2 1.5k
TechxGenus/CursorCore-QW2.5-1.5B finetune — 1.54B S apache-2.0 TechxGenus 1 1.4k
OrchardPair/Qwen2.5-Coder-1.5B-Instruct-4bit finetune -4bit 1.54B S apache-2.0 OrchardPair 1 1.4k
DevQuasar-4/Qwen.Qwen2.5-Coder-1.5B-GGUF quantized GGUF — — — DevQuasar-4 0 1.3k
rkstgr/typer-1.5b-base-gguf quantized gguf — — apache-2.0 rkstgr 4 1.1k
panos345/Qwen2.5-Coder-1.5B-Q4_0-GGUF quantized Q4_0 — — apache-2.0 panos345 1 880
vonjack/Qwen2.5-Coder-1.5B-Merged merge GGUF 1.78B S — vonjack 1 876
pipilok/Qwen2.5-Coder-1.5B-Instruct-Q4_0_4_8-GGUF quantized GGUF — — apache-2.0 pipilok 0 880
RachidAR/Qwen2.5-Coder-1.5B-Q5_K_M-GGUF quantized GGUF — — apache-2.0 RachidAR 1 826
patryks1/Qwen2.5-Coder-1.5B-Q4_K_M-GGUF quantized GGUF — — apache-2.0 patryks1 1 805
kd13/Coder-o1-mini-reasoning finetune — 1.54B S apache-2.0 kd13 0 847
hhuihiu/ADAM-STUDIO-MAX finetune — 1.54B S apache-2.0 hhuihiu 0 830
eivintobias/heartly-qwen-code finetune — 1.54B S mit eivintobias 1 778
abcsk123/PyraCode-1.5B finetune — 1.54B S mit abcsk123 2 672
jolovicdev/Qwen2.5-Coder-1.5B-LF-FIM-Heavy-GGUF quantized GGUF — — apache-2.0 jolovicdev 1 691
olegshulyakov/Qwen2.5-Coder-1.5B-GGUF quantized GGUF — — apache-2.0 olegshulyakov 1 673
GTOMA83/Qwen2.5-Coder-1.5B-Instruct-GGUF quantized GGUF — — apache-2.0 GTOMA83 0 627

Repository changelog

21 commits

Repository changelog 21 commits

DateCommitSHA
2024-11-18 update tokenizer_config.json,config.json,generation_config.json df3ce67
2024-11-12 update README.md 6df6cbb
2024-11-11 Update README.md acb224f
2024-11-09 Update README.md 51df6bb
2024-11-08 Update README.md dba2098
2024-11-08 Update README.md 99644c1
2024-09-25 Update README.md ad88ed4
2024-09-20 Merge branch 'main' of hf.co:Qwen/Qwen2.5-Coder-1.5B ad47162
2024-09-20 update README.md 2a7876a
2024-09-20 Upload ./tokenizer_config.json with huggingface_hub 102a541
2024-09-20 update tokenizer_config.json d3586cf
2024-09-20 Update README.md (#3) 5978c88
2024-09-19 Update README.md (#2) ccb64f0
2024-09-19 Upload ./tokenizer_config.json with huggingface_hub 8fb5dca
2024-09-18 update README & config.json 835b517
2024-09-18 update README & config.json 6a7051e
2024-09-18 update README & LICENSE 19a986b
2024-09-18 Upload LICENSE d85b5e3
2024-09-18 Create README.md (#1) 7a895e8
2024-09-18 Upload folder using huggingface_hub 94fddf4
2024-09-18 initial commit e4919b8

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen2.5-Coder-1.5B, 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-1.5B — — — — — — — live 2026-10-25

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.

Official3

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-Coder Series: Powerful, Diverse, Practical.
qwen.aiofficialauthorityabout the Qwen2.5 family1,328 words
Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding
qwenlm.github.io2024-11-11officialauthorityabout the Qwen2.5 familyHN 23 pts · 0 comments1,210 words

Analysis6

Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac
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.
Qwen2.5-Coder Technical Report - arXiv
arxiv.orgauthorityabout the Qwen2.5 family14,816 words
Qwen2.5-Coder Technical Report
arxiv.orgauthorityabout the Qwen2.5 family
Qwen2.5-Coder-32B with coding abilities matching those of GPT-4o
github.com2024-11-09authorityabout the Qwen2.5 familyHN 21 pts · 6 comments1,815 words
README.md
github.comauthorityabout the Qwen2.5 family
Qwen2.5-Coder Technical Report
arxiv.org2024-11-11authorityabout the Qwen2.5 familyHN 4 pts · 0 comments

Community1

Qwen2.5-coder on the events occurring during the Tiananmen Square protests
news.ycombinator.com2024-11-20about the Qwen2.5 familyHN 7 pts · 4 comments
All coverage tracked for this model (32) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Qwen2.5-Coder Series: Powerful, Diverse, Practical.qwen.ai official—2026-10-07exa
Qwen2.5-Coder Technical Report - arXivarxiv.org—2026-10-07exa
Qwen2.5-Coder Technical Reportarxiv.org—2026-10-07exa
README.mdgithub.com—2026-10-07exa
Qwen2.5-Coder: Advanced Open-Source Code LLMemergentmind.com—2026-10-07exa
Qwen2.5-Coder: Alibaba's Open Code LLM Family | AI/TLDRai-tldr.dev—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, exa
Qwen2.5-Coder Technical Report [Quick Review]liner.com2024-09-182026-10-07exa

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).

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:36 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:04 UTC · Last verified 2026-10-25

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