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Models › Qwen2.5 family

Qwen2.5-Coder-0.5B-Instruct

Hugging Face ↗ Follow changes

Qwen Apache 2.0 out 2 years ago

494M parameters, text in, text out, 32K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #247 in LLMs · score 86.1 method v1 Sources 3 Downloads 30d 144.8k · #275 of 619 tracked

Changed this week: 3 new quantized builds on the Hub (96 in all).2026-10-24

Can I run it?0.3GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?144.8kdownloads, 30 days#275 of 619 we track · top 44%+3 likes, downloads −12% this week90 likesHugging Face2026-10-24

Worth reading

Picked by rule from 31 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 31 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 · 3 HN pts
  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. PaperQwen2.5-Coder Technical Reportarxiv.org · undated
  9. ArticleQwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io · 2024-11-11 · 23 HN pts · 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 · 21 HN pts
  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. CodeREADME.mdgithub.com · undated
  16. ArticleQwen2.5-VL-32B: Smarter and Lightersimonwillison.net · 2025-03-25
  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 · 4 HN pts
  20. DiscussionQwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com · 2024-11-20 · 7 HN pts
  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-Coder Technical Reportcdn.jsdelivr.net · 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 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 (96 quantized builds); a big base for builders (210 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware96quantized builds
  • Built on210112 fine-tunes · 85 adapters · 13 merges
  • In apps78Hugging Face Spaces

Top Spaces running it: sitammeur/Qwen-Coder-llamacpp ♥ 5 · adarshzolekar/AI-Code-Reviewer ♥ 3 · K00B404/ZephyrChat ♥ 2 · Speedofmastery/orynxml-backend ♥ 2

Will it fit?

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

Fits a 16 GB card at INT4

About 0.3 GB at INT4, 0.6 GB at FP8, 1.2 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.3 GB of weights (estimate; KV cache and activations extra)INT40.3 GBFP8: about 0.6 GB of weights (estimate; KV cache and activations extra)FP80.6 GBBF16: about 1.2 GB of weights (estimate; KV cache and activations extra)BF161.2 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.3 GB of weights (estimate; KV cache and activations extra)INT40.3 GBFP8: about 0.6 GB of weights (estimate; KV cache and activations extra)FP80.6 GBBF16: about 1.2 GB of weights (estimate; KV cache and activations extra)BF161.2 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 (2024-11-06), amber triangles are 8 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-11-18: 1 repo commit2024-11-11: 6 repo commits2024-11-09: 3 repo commits2024-11-08: 1 repo commit2024-11-06: 2 repo commitskev: Jev-like model built on Qwen2.5-0.5B · 2026-09-19Qwen2.5: A Party of Foundation Models · 2024-09-18Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac · 2024-11-13Show HN: IttyBittyAI – Qwen2.5:0.5B running on a 2017 Asus smartphone · 2026-09-24Qwen2.5-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 2024-11-06 · 2024-11-06Weights 2024-11-06now · 1 provider
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-11-18: 1 repo commit2024-11-11: 6 repo commits2024-11-09: 3 repo commits2024-11-08: 1 repo commit2024-11-06: 2 repo commitskev: Jev-like model built on Qwen2.5-0.5B · 2026-09-19Qwen2.5: A Party of Foundation Models · 2024-09-18Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac · 2024-11-13Show HN: IttyBittyAI – Qwen2.5:0.5B running on a 2017 Asus smartphone · 2026-09-24Qwen2.5-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 2024-11-06 · 2024-11-06Weights 2024-11-06now · 1 provider

What people built on it

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

306 derivatives on the Hub, led by 112 fine-tunes

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

96 quantized (Hugging Face model tree)112 fine-tunes (Hugging Face model tree)13 merges (Hugging Face model tree)85 adapters (Hugging Face model tree)96 quantized112 fine-tunes13 merges85 adapters
96 quantized (Hugging Face model tree)112 fine-tunes (Hugging Face model tree)13 merges (Hugging Face model tree)85 adapters (Hugging Face model tree)96 quantized112 fine-tunes13 merges85 adapters
GGUF Qwen/Qwen2.5-Coder-0.5B-Instruct-GGUF for llama.cpp, Ollama, LM Studio 221.2k downloads MLX mlx-community/Qwen2.5-Coder-0.5B-Instruct-4bit for Apple silicon 20.8k downloads AWQ Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ for vLLM, SGLang 13k 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-0.5B-Instruct is a 494M parameter causal language model designed for code generation and reasoning.[1][2] It supports a context length of 32,768 tokens.[3]

  1. parameters human
  2. “Type: Causal Language Models”
  3. “Context Length: Full 32,768 tokens”

Generated 2026-10-07 15:05 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: 494,032,768
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-0.5B-Instruct: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)1.2 GB · Edge (<4 GB)
FP8 (1 byte/param)0.6 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)0.3 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-Coder-0.5B (same organization) Family: Qwen/Qwen2.5 306 derivatives on the Hub

Base model: Qwen/Qwen2.5-Coder-0.5B

quantized: 96finetune: 112adapter: 85merge: 13

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
unsloth/Qwen2.5-Coder-0.5B-Instruct-bnb-4bit quantized -bnb 505M S apache-2.0 unsloth 5 276.1k
Qwen/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 Qwen 38 221.2k
unsloth/Qwen2.5-Coder-0.5B-Instruct finetune — 494M S apache-2.0 unsloth 5 76.2k
bartowski/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 bartowski 4 38.4k
lmstudio-community/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 lmstudio-community 6 33.8k
unsloth/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 unsloth 12 24.3k
gaianet/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 gaianet 0 21.4k
mlx-community/Qwen2.5-Coder-0.5B-Instruct-4bit quantized -4bit 494M S apache-2.0 mlx-community 6 20.8k
codefuse-ai/C2LLM-0.5B finetune — 497M S apache-2.0 codefuse-ai 10 17.5k
MadeAgents/Hammer2.1-0.5b finetune — 494M S cc-by-nc-4.0 MadeAgents 6 16.8k
onnx-community/Qwen2.5-Coder-0.5B-Instruct quantized — — — — onnx-community 6 16.3k
unsloth/Qwen2.5-Coder-0.5B-Instruct-128K-GGUF quantized GGUF — — apache-2.0 unsloth 7 16.1k
mradermacher/Qwen2.5-Coder-0.5B-Instruct-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 1 15.5k
lmstudio-community/Qwen2.5-Coder-0.5B-Instruct-MLX-4bit quantized MLX 494M S apache-2.0 lmstudio-community 0 15.1k
salakash/Minimalism adapter — — — apache-2.0 salakash 187 5.6k
Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ quantized AWQ 630M S apache-2.0 Qwen 13 13k
mlc-ai/Qwen2.5-Coder-0.5B-Instruct-q4f16_1-MLC quantized — — — — mlc-ai 0 11k
Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8 quantized GPTQ 494M S apache-2.0 Qwen 7 8.7k
lmstudio-community/Qwen2.5-Coder-0.5B-Instruct-MLX-8bit quantized MLX 494M S apache-2.0 lmstudio-community 0 8.9k
second-state/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 second-state 1 7.9k
Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4 quantized GPTQ 494M S apache-2.0 Qwen 7 6.7k
driaforall/Tiny-Agent-a-0.5B quantized GGUF 494M S apache-2.0 driaforall 11 5.8k
OpenVINO/Qwen2.5-Coder-0.5B-Instruct-int4-ov quantized int4 — — apache-2.0 OpenVINO 0 6k
mradermacher/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 mradermacher 0 5.3k
Alcoft/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 Alcoft 0 4.6k
tensorblock/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 tensorblock 0 4.2k
albinab/Qwen-0.5B-Coder-El-Terminalo adapter GGUF — — apache-2.0 albinab 1 4k
Bojun-Feng/Qwen2.5-Coder-0.5B-Instruct-GGUF-llamafile finetune GGUF — — apache-2.0 Bojun-Feng 0 3.6k
secmlr/SWE-BENCH-433-enriched-set-claude-3in1-localization-with-reasoning_qwen_code_0.5b_433_enriched finetune — 494M S apache-2.0 secmlr 0 3.5k
oxdev/security-auditor-grpo finetune — 494M S apache-2.0 oxdev 0 2.8k
shohuu/Pyroton adapter GGUF — — apache-2.0 shohuu 1 1.8k
sahellx/kitty-bash-llm quantized GGUF 494M S apache-2.0 sahellx 5 1.6k
sandeeprdy1729/TIMPS-Coder-0.5B adapter — 494M S apache-2.0 sandeeprdy1729 2 1.6k
kolosal/qwen2.5-coder-0.5b quantized GGUF — — apache-2.0 kolosal 0 1.7k
mlc-ai/Qwen2.5-Coder-0.5B-Instruct-q4f32_1-MLC quantized — — — — mlc-ai 0 1.5k
sabafallah/Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF quantized GGUF — — apache-2.0 sabafallah 2 1.4k
minsore/quill-1-preview quantized GGUF 494M S apache-2.0 minsore 1 1.4k
Schrst/Qwen2.5-Coder-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 Schrst 1 1.4k
ahmedheakl/qwen2.5_0.5b_500k_O3_16kcw_2ep_2 finetune — 630M S apache-2.0 ahmedheakl 0 1.2k
itlwas/Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF quantized GGUF — — apache-2.0 itlwas 1 1.1k

Repository changelog

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

Repository changelog 13 commits

DateCommitSHA
2024-11-18 update tokenizer_config.json,config.json,generation_config.json ea3f247
2024-11-11 update README.md dd86980
2024-11-11 Merge branch 'main' of hf.co:Qwen/Qwen2.5-Coder-0.5B-Instruct 0f246b4
2024-11-11 update README.md 3ea7be0
2024-11-11 Update README.md 17f33c7
2024-11-11 update README.md 03afaae
2024-11-11 update README.md d1d892d
2024-11-09 Update README.md de7bb95
2024-11-09 Update config.json bbf2771
2024-11-09 Update generation_config.json ffa1f91
2024-11-08 Create README.md ea99d3e
2024-11-06 Upload folder using huggingface_hub 132c346
2024-11-06 initial commit e1e3a50

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen2.5-Coder-0.5B-Instruct, 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-0.5B-Instruct — — — — — — — live 2026-10-25

Articles and coverage

31 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-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

kev: Jev-like model built on Qwen2.5-0.5B
github.com2026-09-19authorityHN 3 pts · 0 comments6,746 words
Kev is a family of small decision models built on Qwen3.5 and Qwen3.8 that you can train and run locally. The API matches TypeSafe's System One, so you can point their Python SDK at your local server. The models support yes/no, multiple-choice, and rating questions in one request, with the 27B variant shipping as 51 GB of full weights.written, reviewed, cited
  • Kev-27B requires 96–128 GB of RAM on Mac, a requirement marked as expected but not measured.
  • The Kev-27B model ships as 51 GB of full weights because every weight is fine-tuned rather than using an adapter.
  • An explicitly requested accelerator fails instead of falling back if the probe times out or crashes.
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.orgauthorityabout the Qwen2.5 family14,825 words
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

Community2

Show HN: IttyBittyAI – Qwen2.5:0.5B running on a 2017 Asus smartphone
news.ycombinator.com2026-09-24about the Qwen2.5 familyHN 2 pts · 0 comments494 words
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 (31) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Qwen2.5-Coder Technical Reportarxiv.org—2026-10-07exa
README.mdgithub.com—2026-10-07exa
Qwen2.5-Coder Technical Reportcdn.jsdelivr.net—2026-10-07exa
Show HN: IttyBittyAI – Qwen2.5:0.5B running on a 2017 Asus smartphonenews.ycombinator.com2026-09-242026-10-07hn
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-Coder Technical Reportexa.ai2024-09-182026-10-07exa
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 21:37 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:05 UTC · Last verified 2026-10-25

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