Model Follower.

Up to date

Rebuilt
2026-10-25 06:54 UTC
Release radar
117 on watch
Hub snapshot
2026-10-25
Re-checked
daily · every number sourced and dated

Models › Qwen2.5 family

Qwen2.5-Coder-7B

Hugging Face ↗ Follow changes

Qwen Apache 2.0 out 2 years ago

7.62B parameters, text in, text out, 32K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #147 in LLMs · score 93.3 method v1 Sources 3 Downloads 30d 362.9k · #193 of 619 tracked

Changed this week: 1 new quantized build on the Hub (50 in all).2026-10-24

Can I run it?4.6GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?362.9kdownloads, 30 days#193 of 619 we track · top 31%+7 likes, downloads +13% this week192 likesHugging Face2026-10-24

Worth reading

Picked by rule from 33 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 33 tracked

The 3 picks above, plus these 22. 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: Code More, Learn More!qwenlm.github.io · undated · official
  7. ArticleQwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1Msimonwillison.net · 2025-01-26 · 98 HN pts
  8. PaperQwen2.5-Coder Technical Reportarxiv.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 · 9 HN pts
  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
  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. Codec6ai/Qwen2.5-Codergithub.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
  21. DiscussionQwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com · 2024-11-20
  22. CodeQwen2.5-VL: State-of-the-art multimodal LLMgithub.com · 2025-01-30

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 (50 quantized builds); a big base for builders (238 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware50quantized builds
  • Built on238122 fine-tunes · 64 adapters · 52 merges
  • In apps12Hugging Face Spaces

Top Spaces running it: tudorizer/tiny-coder ♥ 1 · arabinowe-en/deephat-v1-7b-demo ♥ 1

Will it fit?

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

Fits a 16 GB card at INT4

About 4.6 GB at INT4, 9.1 GB at FP8, 18 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.6 GB of weights (estimate; KV cache and activations extra)INT44.6 GBFP8: about 9.1 GB of weights (estimate; KV cache and activations extra)FP89.1 GBBF16: about 18 GB of weights (estimate; KV cache and activations extra)BF1618 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.6 GB of weights (estimate; KV cache and activations extra)INT44.6 GBFP8: about 9.1 GB of weights (estimate; KV cache and activations extra)FP89.1 GBBF16: about 18 GB of weights (estimate; KV cache and activations extra)BF1618 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 22 repo commits so far

Teal is the weights (2024-09-16), 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: 4 repo commits2024-09-19: 2 repo commits2024-09-18: 5 repo commits2024-09-17: 2 repo commits2024-09-16: 2 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 · 2024-11-13Show 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 · 2025-01-26Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding · 2024-11-11Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt data · 2026-04-25Weights 2024-09-16 · 2024-09-16Weights 2024-09-16now · 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: 4 repo commits2024-09-19: 2 repo commits2024-09-18: 5 repo commits2024-09-17: 2 repo commits2024-09-16: 2 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 · 2024-11-13Show 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 · 2025-01-26Qwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Coding · 2024-11-11Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt data · 2026-04-25Weights 2024-09-16 · 2024-09-16Weights 2024-09-16now · 1 provider

What people built on it

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

288 derivatives on the Hub, led by 122 fine-tunes

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

50 quantized (Hugging Face model tree)122 fine-tunes (Hugging Face model tree)52 merges (Hugging Face model tree)64 adapters (Hugging Face model tree)50 quantized122 fine-tunes52 merges64 adapters
50 quantized (Hugging Face model tree)122 fine-tunes (Hugging Face model tree)52 merges (Hugging Face model tree)64 adapters (Hugging Face model tree)50 quantized122 fine-tunes52 merges64 adapters
GGUF ggml-org/Qwen2.5-Coder-7B-Q8_0-GGUF for llama.cpp, Ollama, LM Studio 62k downloads MLX mlx-community/Qwen2.5-Coder-7B-Instruct-4bit for Apple silicon 1M downloads FP8 wordslab-org/Qwen2.5-Coder-7B-Instruct-FP8-Dynamic for vLLM, SGLang 24.1k 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-7B is a 7.62B parameter causal language model designed for code generation and reasoning.[1][2] The model is released under the Apache 2.0 license and supports a context length of up to 131,072 tokens.[3][4]

  1. parameters human
  2. “Type: Causal Language Models”
  3. license
  4. “Context Length: Full 131,072 tokens”

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

5 use cases

What it is good at 5 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: 7,615,616,512
Size bandM
MoEno
Context length32,768 (config.json max_position_embeddings)
Languagesen
PapersarXiv:2409.12186, arXiv:2309.00071, 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-7B: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)18 GB · Single GPU (<24 GB)
FP8 (1 byte/param)9.1 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)4.6 GB · Single GPU (<24 GB)

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

All variants

40 variants

Lineage

Fine-tuned from Qwen/Qwen2.5-7B (same organization) Family: Qwen/Qwen2.5 288 derivatives on the Hub

Base model: Qwen/Qwen2.5-7B

finetune: 122quantized: 50merge: 52adapter: 64

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
mlx-community/Qwen2.5-Coder-7B-Instruct-4bit finetune -4bit 7.62B M apache-2.0 mlx-community 32 1M
DeepHat/DeepHat-V1-7B finetune — 7.62B M apache-2.0 DeepHat 289 467.4k
unsloth/Qwen2.5-Coder-7B-bnb-4bit quantized -bnb 7.82B M apache-2.0 unsloth 19 263.2k
unsloth/Qwen2.5-Coder-7B finetune — 7.62B M apache-2.0 unsloth 5 106k
ggml-org/Qwen2.5-Coder-7B-Q8_0-GGUF quantized Q8_0 — — apache-2.0 ggml-org 14 62k
itlwas/Qwen2.5-Coder-7B-Q4_K_M-GGUF quantized GGUF — — apache-2.0 itlwas 7 56.6k
QuantFactory/Qwen2.5-Coder-7B-Instruct-GGUF quantized GGUF — — apache-2.0 QuantFactory 8 28.1k
wordslab-org/Qwen2.5-Coder-7B-Instruct-FP8-Dynamic quantized -FP8 7.62B M apache-2.0 wordslab-org 0 24.1k
WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B finetune — 7.62B M apache-2.0 WhiteRabbitNeo 78 17.6k
ThomasBaruzier/Qwen2.5-Coder-7B-Instruct-GGUF quantized GGUF — — apache-2.0 ThomasBaruzier 0 15.9k
Mungert/instinct-GGUF quantized GGUF — — apache-2.0 Mungert 0 12.4k
QuantFactory/CursorCore-QW2.5-7B-GGUF quantized GGUF — — apache-2.0 QuantFactory 3 11.5k
mradermacher/Qwen2.5-Coder-7B-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 2 10.4k
mozilla-ai/Qwen2.5.1-Coder-7B-Instruct-llamafile finetune — — — apache-2.0 mozilla-ai 2 9.1k
QuantFactory/Qwen2.5-Coder-7B-3x-Instruct-TIES-v1.2-GGUF merge GGUF — — — QuantFactory 8 8.8k
apple/DiffuCoder-7B-Base finetune — 7.62B M apple-amlr apple 30 7.6k
continuedev/instinct finetune — 7.62B M apache-2.0 continuedev 70 4.6k
prithivMLmods/Qwen2.5-Coder-7B-GGUF quantized GGUF — — creativeml-openrail-m prithivMLmods 3 6.5k
QuantFactory/Qwen2.5-Coder-7B-3x-Instruct-TIES-v1.0-GGUF merge GGUF — — — QuantFactory 4 6.4k
QuantFactory/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-GGUF quantized GGUF — — apache-2.0 QuantFactory 1 6.1k
mlx-community/Qwen2.5-Coder-7B-Instruct-8bit finetune -8bit 7.62B M apache-2.0 mlx-community 1 5.9k
QuantFactory/instinct-GGUF quantized GGUF — — apache-2.0 QuantFactory 4 5.7k
QuantFactory/Qwen2.5-Coder-7B-Chat-Instruct-TIES-v1.2-GGUF merge GGUF — — — QuantFactory 2 5.7k
mradermacher/Qwen2.5-Coder-7B-GGUF quantized GGUF — — apache-2.0 mradermacher 0 5.6k
sweepai/sweep-next-edit-v2-7B finetune — 7.62B M apache-2.0 sweepai 44 3.3k
AdvancedDataIntelligence/adi-qwen2.5-coder-7b-kimi2.7-code-GGUF quantized GGUF — — apache-2.0 AdvancedDataIntelligence 2 5.2k
ikw/Qwen2.5-Coder-7B-GGUF quantized GGUF — — apache-2.0 ikw 0 4.7k
mlx-community/Qwen2.5-Coder-7B-Instruct-bf16 finetune -bf16 7.62B M apache-2.0 mlx-community 2 4k
tensorblock/Qwen2.5-Coder-7B-GGUF quantized GGUF — — apache-2.0 tensorblock 0 3.5k
nvidia/CUDA-Autocomplete finetune — 7.62B M other nvidia 20 1.7k
DevQuasar-8/Qwen.Qwen2.5-Coder-7B-GGUF quantized GGUF — — — DevQuasar-8 0 2.7k
Yuuta208/Qwen2.5-7B-Instruct-Qwen2.5-Coder-7B-Merged-dare_ties-29 merge — 7.62B M — Yuuta208 0 2.5k
Yuuta208/Qwen2.5-7B-Instruct-Qwen2.5-Coder-7B-Merged-slerp-29 merge — 7.62B M — Yuuta208 0 2.5k
featherless-ai-quants/Qwen-Qwen2.5-Coder-7B-GGUF quantized GGUF — — — featherless-ai-quants 0 2.5k
Yuuta208/Qwen2.5-7B-Instruct-Qwen2.5-Coder-7B-Merged-ties-29 merge — 7.62B M — Yuuta208 0 2.4k
continuum-ai/qwen2.5-coder-7b-compacted adapter — 7.62B M apache-2.0 continuum-ai 0 2.3k
MaziyarPanahi/Qwen2.5-Coder-7B-GGUF quantized GGUF — — — MaziyarPanahi 0 2k
Volko76/Qwen2.5-Coder-7B-Instruct-GGUF quantized GGUF — — apache-2.0 Volko76 0 1.8k
mendrika0dev/DeepHat-V1-7B-GGUF quantized GGUF — — apache-2.0 mendrika0dev 0 1.5k
Etherll/Qwen2.5-Coder-7B-Instruct-Ties merge — 7.62B M — Etherll 1 1.5k

Repository changelog

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

Repository changelog 22 commits

DateCommitSHA
2024-11-18 update tokenizer_config.json,config.json,generation_config.json 0396a76
2024-11-12 update README.md cee317b
2024-11-11 Update README.md 89109db
2024-11-09 Update README.md 388104a
2024-11-08 Update README.md 3040e12
2024-11-08 Update README.md ee4e81d
2024-09-25 Update README.md 8e82b34
2024-09-20 update README.md 097b213
2024-09-20 Upload ./tokenizer_config.json with huggingface_hub 9ec1a91
2024-09-20 update tokenizer_config.json 30b6a7e
2024-09-20 Update README.md (#3) 78bf335
2024-09-19 Update README.md (#2) fc160ff
2024-09-19 Upload ./tokenizer_config.json with huggingface_hub 4c1c161
2024-09-18 update README & config.json e8d5fbb
2024-09-18 update README & config.json f07775d
2024-09-18 update README & LICENSE c635280
2024-09-18 Upload LICENSE 4e56b5c
2024-09-18 Create README.md (#1) 81c2a16
2024-09-17 Update config.json f52e93b
2024-09-17 Update config.json e1a210c
2024-09-16 Upload folder using huggingface_hub 921a10c
2024-09-16 initial commit 4914cf9

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen2.5-Coder-7B, 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-7B — — — — — — — live 2026-10-25

Articles and coverage

33 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: Code More, Learn More!
qwenlm.github.ioofficialauthorityabout the Qwen2.5 family714 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

Analysis7

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.
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
Qwen2.5-Coder Technical Report
arxiv.orgauthorityabout the Qwen2.5 family14,816 words
Qwen2.5 Coder 7B - Intelligence, Performance & Price ...
artificialanalysis.aiauthority
Qwen2.5-Coder Technical Report
arxiv.orgauthorityabout the Qwen2.5 family14,825 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
All coverage tracked for this model (33) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Qwen2.5-Coder: Code More, Learn More!qwenlm.github.io official—2026-10-07exa
Qwen2.5-Coder Technical Reportarxiv.org—2026-10-07exa
Qwen2.5 Coder 7B - Intelligence, Performance & Price ...artificialanalysis.ai—2026-10-07exa
Qwen2.5-Coder Technical Reportarxiv.org—2026-10-07exa
c6ai/Qwen2.5-Codergithub.com—2026-10-07exa
Qwen2.5 Coder 7B — AI Model Benchmark Resultsgraysoft.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: The Open-Source Code Model That Dethroned GPT-4o on HumanEval — Redeepredeep.blog2024-11-122026-10-07exa
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 7B Instruct: benchmarks, context window — ModelCap #85modelcap.ai2024-09-172026-10-07exa

Papers

3 papers

Papers 3

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

Similar models

  • Llama-3.1-8B-Instruct · 8.03B
    same size band (M), same task (text-generation), more providers
  • Qwen3-8B · 8.19B
    same size band (M), same task (text-generation), more providers, permissive license
  • DeepSeek-R1-Distill-Qwen-7B · 7.62B
    same size band (M), same task (text-generation), permissive license

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

Follow Qwen2.5-Coder-7B

Watch this model

Email alerts are not open yet; the feeds above are the same data. See feeds for the item schema.