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

Qwen2.5-7B

Hugging Face ↗ Follow changes

Qwen Apache 2.0 out 2 years ago

7.62B parameters, text in, text out, 128K tokens of context. 2 providers serve it from $0.10 per million input tokens.

Verified 2026-10-25 Rank #151 in LLMs · score 92.6 method v1 Sources 3 Downloads 30d 460.3k · #172 of 619 tracked

Changed this week: 1 new quantized build on the Hub (89 in all).2026-10-24

Can I run it?4.6GB at INT4Estimatefits a 16 GB cardmethodCommunity: Qwen 2.5 7B — specs, VRAM, benchmarks (7B) | BestLLMfor →
What does it cost?$0.10/1M incheapest of 1Phala2026-10-24
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?460.3kdownloads, 30 days#172 of 619 we track · top 28%+5 likes, downloads −42% this week337 likesHugging Face2026-10-24

Worth reading

Picked by rule from 35 tracked pieces: the lab's own post, the most shared, a field report, the latest.

25 best of 35 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-LLM: Extending the boundary of LLMsqwenlm.github.io · undated · official
  7. ArticleQwen2.5-Coder-32B is an LLM that can code well that runs on my Macsimonwillison.net · 2024-11-13
  8. ArticleQwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1Msimonwillison.net · 2025-01-26 · 98 HN pts
  9. ArticleQwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io · 2024-11-11 · official
  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
  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. PaperQwen2.5-Coder Technical Reportarxiv.org · 2024-11-11
  18. DiscussionQwen2.5-coder on the events occurring during the Tiananmen Square protestsnews.ycombinator.com · 2024-11-20
  19. PaperQwen2.5 Technical Reportarxiv.org · 2025-01-03
  20. CodeQwen2.5-VL: State-of-the-art multimodal LLMgithub.com · 2025-01-30
  21. DiscussionNew Qwen2.5-Max Outperforms DeepSeek V3 in Benchmarkstwitter.com · 2025-01-28
  22. ArticleQwen2.5-7B by Qwen - Overview, Benchmarks & Hardware | Q4KM.aiq4km.ai · undated

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#Cheapest 2In /1MOut /1MContextQuantSeen
1 Phala $0.10 $0.20 32K unknown Oct 24
2 Featherless — — — — Oct 25

All 2 providers →

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 2 API providers; heavily run locally (89 quantized builds); a big base for builders (1,994 fine-tunes, adapters and merges).

  • As a service2Featherless, Phala
  • On own hardware89quantized builds
  • Built on1,994975 fine-tunes · 882 adapters · 137 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: pliny-the-prompter/obliteratus ♥ 621 · ISEEKYAN/megatron_memory_estimator ♥ 35 · ACloudCenter/Conference-Generator-VibeVoice ♥ 34 · ISEEKYAN/megatron_memory_estimator_old ♥ 19

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.

5 dated articles and 11 repo commits so far

Teal is the weights (2024-09-15), amber triangles are 5 dated articles (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-25: 1 repo commit2024-09-20: 1 repo commit2024-09-19: 1 repo commit2024-09-18: 3 repo commits2024-09-17: 2 repo commits2024-09-16: 1 repo commit2024-09-15: 2 repo commitsQwen2.5: A Party of Foundation Models · 2024-09-18Show 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 · 2025-01-26Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt data · 2026-04-25Qwen2.5 Technical Report · 2025-01-03Weights 2024-09-15 · 2024-09-15Weights 2024-09-15now · 2 providers
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-25: 1 repo commit2024-09-20: 1 repo commit2024-09-19: 1 repo commit2024-09-18: 3 repo commits2024-09-17: 2 repo commits2024-09-16: 1 repo commit2024-09-15: 2 repo commitsQwen2.5: A Party of Foundation Models · 2024-09-18Show 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 · 2025-01-26Civic-SLM is a domain-specialized fine-tune of Qwen2.5-7B for U.S. govt data · 2026-04-25Qwen2.5 Technical Report · 2025-01-03Weights 2024-09-15 · 2024-09-15Weights 2024-09-15now · 2 providers

What people built on it

2,083 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

2,083 derivatives on the Hub, led by 975 fine-tunes

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

89 quantized (Hugging Face model tree)975 fine-tunes (Hugging Face model tree)137 merges (Hugging Face model tree)882 adapters (Hugging Face model tree)89 quantized975 fine-tunes137 merges882 adapters
89 quantized (Hugging Face model tree)975 fine-tunes (Hugging Face model tree)137 merges (Hugging Face model tree)882 adapters (Hugging Face model tree)89 quantized975 fine-tunes137 merges882 adapters
GGUF Mungert/Qwen2.5-7B-Instruct-1M-GGUF for llama.cpp, Ollama, LM Studio 83.5k downloads MLX mlx-community/Qwen2.5-7B-Instruct-4bit for Apple silicon 546.7k downloads FP8 CalamitousFelicitousness/Qwen2.5-7B-Instruct-fp8-dynamic for vLLM, SGLang 72.8k downloads

All variants →

Reference

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

What the card says

2 cited sentences

Summary generated, cited

Qwen2.5-7B is a 7.62B parameter causal language model designed for text generation.[1][2] The model architecture uses RoPE, SwiGLU, RMSNorm, and Attention QKV bias with a context length of 131,072 tokens.[3][4]

  1. parameters human
  2. “Type: Causal Language Models”
  3. “Architecture: transformers with RoPE, SwiGLU, RMSNorm, an…”
  4. “Context Length: 131,072 tokens”

Generated 2026-10-07 15:01 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 length131,072 (config.json max_position_embeddings)
Languagesen
PapersarXiv: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 Qwen2.5-7B: 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

Original model Family: Qwen/Qwen2.5 2,083 derivatives on the Hub

finetune: 975quantized: 89merge: 137adapter: 882

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
tablegpt/TableGPT2-7B finetune — 7.62B M apache-2.0 tablegpt 233 894k
mlx-community/Qwen2.5-7B-Instruct-4bit finetune -4bit 7.62B M apache-2.0 mlx-community 17 546.7k
unsloth/Qwen2.5-7B finetune — 7.62B M apache-2.0 unsloth 8 541.9k
jhu-clsp/rank1-7b finetune — 7.62B M mit jhu-clsp 4 514.2k
unsloth/Qwen2.5-7B-unsloth-bnb-4bit quantized -bnb 7.78B M apache-2.0 unsloth 1 344.6k
unsloth/Qwen2.5-7B-bnb-4bit quantized -bnb 7.82B M apache-2.0 unsloth 6 253.4k
nvidia/OpenReasoning-Nemotron-7B finetune — 7.62B M cc-by-4.0 nvidia 52 121.9k
Mungert/Qwen2.5-7B-Instruct-1M-GGUF quantized GGUF — — apache-2.0 Mungert 7 83.5k
QuantFactory/Qwen2.5-Coder-7B-GGUF quantized GGUF — — apache-2.0 QuantFactory 9 81k
CalamitousFelicitousness/Qwen2.5-7B-Instruct-fp8-dynamic quantized -fp8 7.62B M apache-2.0 CalamitousFelicitousness 0 72.8k
Mungert/Qwen2.5-7B-Instruct-GGUF quantized GGUF — — apache-2.0 Mungert 6 37k
Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 finetune — 7.62B M apache-2.0 Goekdeniz-Guelmez 17 36.3k
mradermacher/Qwen2.5-7B-GGUF quantized GGUF — — apache-2.0 mradermacher 1 36.2k
allenai/MolmoAct-7B-D-LIBERO-Goal-0812 finetune — 8.12B M apache-2.0 allenai 0 25.8k
TIGER-Lab/General-Reasoner-Qwen2.5-7B finetune — 7.62B M apache-2.0 TIGER-Lab 3 23.3k
internlm/OREAL-7B-SFT finetune — 7.62B M apache-2.0 internlm 1 23.1k
RefalMachine/RuadaptQwen2.5-7B-Lite-Beta finetune — 7.57B M apache-2.0 RefalMachine 10 20.9k
QuantFactory/Qwen2.5-7B-Instruct-GGUF quantized GGUF — — apache-2.0 QuantFactory 4 18.3k
mradermacher/Qwen2.5-7B-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 1 17.5k
allenai/MolmoAct-7B-D-LIBERO-Spatial-0812 finetune — 8.12B M apache-2.0 allenai 0 17.3k
allenai/MolmoAct-7B-D-0812 finetune — 8.12B M apache-2.0 allenai 53 14.6k
Dexmal/Dexbotic-Base finetune — 7.93B M cc Dexmal 1 15.5k
allenai/MolmoAct-7B-D-Pretrain-0812 finetune — 8.12B M apache-2.0 allenai 8 13.8k
allenai/MolmoAct-7B-D-LIBERO-Object-0812 finetune — 8.12B M apache-2.0 allenai 0 14k
ThomasBaruzier/Qwen2.5-7B-Instruct-GGUF quantized GGUF — — apache-2.0 ThomasBaruzier 0 13.8k
QuantFactory/Qwen2.5-Math-7B-GGUF quantized GGUF — — apache-2.0 QuantFactory 4 13.1k
QuantFactory/TableGPT2-7B-GGUF quantized GGUF — — apache-2.0 QuantFactory 4 12.6k
MasterControlAIML/Qwen2.5-7B-Instruct-131K finetune — 7.62B M apache-2.0 MasterControlAIML 1 12.3k
allenai/MolmoAct-7B-D-LIBERO-Long-0812 finetune — 8.12B M apache-2.0 allenai 0 11.7k
X1AOX1A/WorldModel-Webshop-Qwen2.5-7B finetune — 7.62B M other X1AOX1A 0 11.2k
QuantFactory/Josiefied-Qwen2.5-7B-Instruct-abliterated-GGUF quantized GGUF — — apache-2.0 QuantFactory 4 10.4k
sail/Sailor2-8B finetune — 8.55B M apache-2.0 sail 8 9.3k
RedHatAI/Qwen2.5-7B-quantized.w8a8 quantized -quant 7.62B M apache-2.0 RedHatAI 1 8.4k
RefalMachine/RuadaptQwen2.5-7B-Lite-Beta-GGUF quantized GGUF — — apache-2.0 RefalMachine 8 7.8k
BillyWang1/qwen2.5-7b-base-retool-slime-sft-v2 finetune — 7.62B M apache-2.0 BillyWang1 0 8.2k
allenai/MolmoAct-7B-D-Pretrain-RT-1-0812 finetune — 8.12B M apache-2.0 allenai 6 7.7k
MiniMaxAI/SynLogic-7B finetune — 7.62B M mit MiniMaxAI 29 6.5k
llmcompressor-quants/Qwen2.5-7B-Instruct-fp8-dynamic finetune -fp8 7.62B M apache-2.0 llmcompressor-quants 0 6.6k
QuantFactory/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-GGUF quantized GGUF — — apache-2.0 QuantFactory 1 6.4k
QuantFactory/Qwen2.5-7B-Instruct-1M-GGUF quantized GGUF — — apache-2.0 QuantFactory 3 6.1k

Repository changelog

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

Repository changelog 11 commits

DateCommitSHA
2024-09-25 Update metadata: Add library_name to Transformers (#3) d149729
2024-09-20 Upload ./tokenizer_config.json with huggingface_hub e25af2e
2024-09-19 Upload ./tokenizer_config.json with huggingface_hub 09a0bac
2024-09-18 update README & LICENSE 57597c0
2024-09-18 Update README.md 7c88676
2024-09-18 Create LICENSE 272aa6d
2024-09-17 Update README.md c22b5ea
2024-09-17 Create README.md c22c4f7
2024-09-16 Upload tokenizer_config.json with huggingface_hub 3115c99
2024-09-15 Upload folder using huggingface_hub 7c128df
2024-09-15 initial commit 4b579fc

All providers

2 providers · 2 endpoints

Where to run 2 providers · 2 endpoints

Hosted endpoints observed for Qwen2.5-7B, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting. Cheapest observed input price: $0.10/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Phala
openrouter
 qwen/qwen-2.5-7b-instruct 32K unknown $0.10 $0.20 — — yes live 2026-10-24
Featherless
hf
 Qwen/Qwen2.5-7B — — — — — — — live 2026-10-25

Articles and coverage

35 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-LLM: Extending the boundary of LLMs
qwenlm.github.ioofficialauthorityabout the Qwen2.5 family4,262 words

Analysis8

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
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
Qwen2.5 Technical Report
arxiv.org2025-01-03authorityabout the Qwen2.5 family
Qwen 2.5 7B — specs, VRAM, benchmarks (7B) | BestLLMfor
bestllmfor.com
Qwen2.5-7B by Qwen - Overview, Benchmarks & Hardware | Q4KM.ai
q4km.ai
Qwen2.5-7B: 7B Transformer LLM
emergentmind.com
Qwen 2.5 7B | Open Laboratory
openlaboratory.com
All coverage tracked for this model (35) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
Qwen2.5-LLM: Extending the boundary of LLMsqwenlm.github.io official—2026-10-07exa
Qwen 2.5 7B — specs, VRAM, benchmarks (7B) | BestLLMforbestllmfor.com—2026-10-07exa
Qwen2.5-7B by Qwen - Overview, Benchmarks & Hardware | Q4KM.aiq4km.ai—2026-10-07exa
Qwen2.5-7B: 7B Transformer LLMemergentmind.com—2026-10-07exa
Qwen 2.5 7B | Open Laboratoryopenlaboratory.com—2026-10-07exa
Qwen2.5-7B: Advanced 7B LLM by Alibabaemergentmind.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
We built an O(1) KV Cache for LLMs (Qwen2.5-7B Colab inside)colab.research.google.com2026-04-012026-10-07hn
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
Autopen: Branching LLM editor demo with DeepSeek's Qwen2.5-7B distill of R1 [video]youtube.com2025-02-102026-10-07hn
Evaluating the Performance of LLMs: A Deep Dive into qwen2.5-7b-instruct-1m | Not Quite Randomnotquiterandom.com2025-02-032026-10-07exa
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, exa
Qwen2.5 Technical Reportarxiv.org2025-01-032026-10-07exa
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

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

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), more providers, 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 15:01 UTC · Last verified 2026-10-25

Follow Qwen2.5-7B

Watch this model

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