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Models › Qwen2.5 family

Qwen2.5-0.5B

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 #97 in LLMs · score 99.3 method v1 Sources 3 Downloads 30d 1.2M · #99 of 619 tracked

Changed this week: 2 new quantized builds on the Hub (118 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?1.2Mdownloads, 30 days#99 of 619 we track · top 16%+8 likes, downloads −11% this week484 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.

25 best of 33 tracked

The 1 pick above, plus these 24. 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. ArticleQwen2.5-Coder-32B is an LLM that can code well that runs on my Macsimonwillison.net · 2024-11-13
  7. ArticleShow HN: Fine-tuned Qwen2.5-7B on 100 films for probabilistic story graphscinegraphs.ai · 2026-02-08
  8. ArticleQwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1Msimonwillison.net · 2025-01-26
  9. ArticleQwen2.5-Coder Beats GPT-4o and Claude 3.5 Sonnet in Codingqwenlm.github.io · 2024-11-11 · 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
  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-LLM: Extending the boundary of LLMs | Qwenqwenlm.github.io · 2024-09-18 · official
  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. PaperQwen2.5 Technical Reportarxiv.org · 2025-01-03
  23. CodeQwen2.5-VL: State-of-the-art multimodal LLMgithub.com · 2025-01-30
  24. 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 (118 quantized builds); a big base for builders (1,253 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware118quantized builds
  • Built on1,253756 fine-tunes · 477 adapters · 20 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: pliny-the-prompter/obliteratus ♥ 621 · Steveeeeeeen/SpeechLLM-Playbook ♥ 42 · dqy08/InfoLens1 ♥ 22 · fromziro/SLM_Regression_Line ♥ 16

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.

7 dated articles and 12 repo commits so far

Teal is the weights (2024-09-15), amber triangles are 7 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: 3 repo commits2024-09-16: 1 repo commit2024-09-15: 2 repo commitskev: Jev-like model built on Qwen2.5-0.5B · 2026-09-19Qwen2.5: A Party of Foundation Models · 2024-09-18Show HN: IttyBittyAI – Qwen2.5:0.5B running on a 2017 Asus smartphone · 2026-09-24Qwen2.5-LLM: Extending the boundary of LLMs | Qwen · 2024-09-18Qwen2.5 Technical Report · 2025-01-03Show HN: I made a free study tool powered by Qwen2.5 · 2025-01-28Qwen 2.5: a technical introduction and deployment review · 2025-01-20Weights 2024-09-15 · 2024-09-15Weights 2024-09-15now · 1 provider
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-25: 1 repo commit2024-09-20: 1 repo commit2024-09-19: 1 repo commit2024-09-18: 3 repo commits2024-09-17: 3 repo commits2024-09-16: 1 repo commit2024-09-15: 2 repo commitskev: Jev-like model built on Qwen2.5-0.5B · 2026-09-19Qwen2.5: A Party of Foundation Models · 2024-09-18Show HN: IttyBittyAI – Qwen2.5:0.5B running on a 2017 Asus smartphone · 2026-09-24Qwen2.5-LLM: Extending the boundary of LLMs | Qwen · 2024-09-18Qwen2.5 Technical Report · 2025-01-03Show HN: I made a free study tool powered by Qwen2.5 · 2025-01-28Qwen 2.5: a technical introduction and deployment review · 2025-01-20Weights 2024-09-15 · 2024-09-15Weights 2024-09-15now · 1 provider

What people built on it

1,371 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

1,371 derivatives on the Hub, most of them fine-tunes

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

118 quantized (Hugging Face model tree)756 fine-tunes (Hugging Face model tree)20 merges (Hugging Face model tree)477 adapters (Hugging Face model tree)118 quantized756 fine-tunes20 merges477 adapters
118 quantized (Hugging Face model tree)756 fine-tunes (Hugging Face model tree)20 merges (Hugging Face model tree)477 adapters (Hugging Face model tree)118 quantized756 fine-tunes20 merges477 adapters
GGUF ThomasBaruzier/Qwen2.5-0.5B-Instruct-GGUF for llama.cpp, Ollama, LM Studio 24k downloads MLX mlx-community/Qwen2.5-0.5B-Instruct-4bit for Apple silicon 240.7k downloads

All variants →

Reference

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

What the card says

1 cited sentence

Summary generated, cited

Qwen2.5-0.5B is a 494M parameter causal language model designed for text generation.[1][2][3]

  1. parameters human
  2. pipeline tag
  3. “Type: Causal Language Models”

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

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: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 Qwen2.5-0.5B: 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

Original model Family: Qwen/Qwen2.5 1,371 derivatives on the Hub

finetune: 756quantized: 118merge: 20adapter: 477

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
Gensyn/Qwen2.5-0.5B-Instruct finetune — 494M S apache-2.0 Gensyn 33 33.2M
microsoft/VibeVoice-Realtime-0.5B finetune — 1.02B S mit microsoft 1.3k 6.2M
Qwen/Qwen2.5-Coder-0.5B finetune — 494M S apache-2.0 Qwen 69 604.9k
unsloth/Qwen2.5-0.5B-unsloth-bnb-4bit quantized -bnb 504M S apache-2.0 unsloth 4 532.3k
unsloth/Qwen2.5-0.5B finetune — 494M S apache-2.0 unsloth 11 286.3k
mlx-community/Qwen2.5-0.5B-Instruct-4bit finetune -4bit 494M S apache-2.0 mlx-community 8 240.7k
unsloth/Qwen2.5-0.5B-bnb-4bit quantized -bnb 505M S apache-2.0 unsloth 1 103.5k
numind/NuExtract-1.5-tiny finetune — 494M S mit numind 38 86.6k
mlx-community/Qwen2.5-0.5B-Instruct-bf16 finetune -bf16 494M S apache-2.0 mlx-community 1 41.2k
alamios/DeepSeek-R1-DRAFT-Qwen2.5-0.5B finetune — 494M S apache-2.0 alamios 4 26.6k
reaperdoesntknow/Symbiotic-Beta finetune — 3.57B M afl-3.0 reaperdoesntknow 1 26.2k
ThomasBaruzier/Qwen2.5-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 ThomasBaruzier 0 24k
mlx-community/Kimi-VL-A3B-Thinking-4bit merge -4bit — — other mlx-community 11 19.8k
QuantFactory/Qwen2.5-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 QuantFactory 3 16.4k
mradermacher/Qwen2.5-0.5B-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 0 16.1k
mradermacher/Qwen2.5-0.5B-GGUF quantized GGUF — — apache-2.0 mradermacher 0 14.6k
dphn/Dolphin3.0-Qwen2.5-0.5B finetune — 494M S apache-2.0 dphn 27 11.4k
Mungert/Qwen2.5-0.5B-Instruct-GGUF quantized GGUF — — apache-2.0 Mungert 5 12.3k
sail/Sailor2-1B finetune — 988M S apache-2.0 sail 7 10.9k
QuantFactory/NuExtract-1.5-tiny-GGUF quantized GGUF — — mit QuantFactory 3 7.8k
RedHatAI/Qwen2.5-0.5B-quantized.w8a16 quantized -quant 630M S apache-2.0 RedHatAI 0 7.2k
trumancai/Revela-code-500M adapter — — — apache-2.0 trumancai 0 6.9k
OpenGVLab/InternVL3-1B-Pretrained merge — 938M S apache-2.0 OpenGVLab 3 6.7k
tjake/Qwen2.5-0.5B-Instruct-JQ4 finetune — 509M S apache-2.0 tjake 0 6.5k
mlx-community/Qwen2.5-0.5B-Instruct-8bit finetune -8bit 494M S apache-2.0 mlx-community 0 6.3k
DuoGuard/DuoGuard-0.5B finetune — 494M S apache-2.0 DuoGuard 4 5.8k
atlasia/Al-Atlas-0.5B finetune — 494M S — atlasia 17 4.9k
jaredpalmer/kev-0.5b adapter — — — apache-2.0 jaredpalmer 64 2.4k
artificialguybr/Qwen2.5-0.5B-OpenHermes2.5 finetune — 494M S apache-2.0 artificialguybr 4 4.8k
JoTalbot/ua-legal-lm-ft adapter — 494M S — JoTalbot 0 4.5k
artificialguybr/QWEN-2.5-0.5B-Synthia-II finetune — — — apache-2.0 artificialguybr 2 4.2k
artificialguybr/QWEN-2.5-0.5B-Synthia-I finetune — — — apache-2.0 artificialguybr 2 4.2k
RedHatAI/Qwen2.5-0.5B-quantized.w8a8 quantized -quant 630M S apache-2.0 RedHatAI 0 4.3k
Abhinav-Anand/Two-And-A-Half-Qwen quantized — 494M S apache-2.0 Abhinav-Anand 0 4.1k
prithivMLmods/Qwen2.5-0.5B-200K-GGUF quantized GGUF — — creativeml-openrail-m prithivMLmods 5 3.5k
slprl/slam_scaled finetune — 358M S mit slprl 7 3.2k
DevQuasar-13/Qwen2.5-0.5B-GGUF quantized GGUF — — — DevQuasar-13 0 3.5k
JayHyeon/Qwen2.5-0.5B-SFT-2e-5-2ep finetune — 630M S — JayHyeon 0 3.3k
frankmorales2020/qwen2.5-0.5b-topo-governed-cbp-fineweb finetune — 494M S apache-2.0 frankmorales2020 0 3.2k
Volko76/Qwen2.5-Coder-0.5B-GGUF quantized GGUF — — apache-2.0 Volko76 0 3.2k

Repository changelog

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

Repository changelog 12 commits

DateCommitSHA
2024-09-25 Update metadata: Add library_name to Transformers (#1) 060db64
2024-09-20 Upload ./tokenizer_config.json with huggingface_hub 7b382a7
2024-09-19 Upload ./tokenizer_config.json with huggingface_hub 2630d3d
2024-09-18 update README & LICENSE f571523
2024-09-18 Update README.md 0ce15ee
2024-09-18 Create LICENSE 23c3f65
2024-09-17 Update README.md 285c998
2024-09-17 Update README.md efc7bbe
2024-09-17 Create README.md 187c7e3
2024-09-16 Upload tokenizer_config.json with huggingface_hub 74e0d9c
2024-09-15 Upload folder using huggingface_hub b937cc0
2024-09-15 initial commit 1ca8d4d

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Qwen2.5-0.5B, 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/Qwen2.5-0.5B — — — — — — — 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.

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 | Qwen
qwenlm.github.io2024-09-18officialauthorityabout the Qwen2.5 family4,262 words

Analysis7

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.
README.md
github.comauthorityabout the Qwen2.5 family
Qwen2.5 Technical Report
arxiv.org2025-01-03authorityabout the Qwen2.5 family
Qwen2.5: Alibaba's Open-Weight LLM Family | AI/TLDR
ai-tldr.devabout the Qwen2.5 family
Quick start: Fine-tune, evaluate, and deploy Qwen2.5 models
help.aliyun.comabout the Qwen2.5 family
Show HN: I made a free study tool powered by Qwen2.5
freeflashcardgenerator.com2025-01-28about the Qwen2.5 familyHN 3 pts · 0 comments
Qwen 2.5: a technical introduction and deployment review
sgtcho.com2025-01-20about the Qwen2.5 family

Community1

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
All coverage tracked for this model (33) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
README.mdgithub.com—2026-10-07exa
Qwen2.5: Alibaba's Open-Weight LLM Family | AI/TLDRai-tldr.dev—2026-10-07exa
Quick start: Fine-tune, evaluate, and deploy Qwen2.5 modelshelp.aliyun.com—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 Technical Report: Analysis, Review & Summary | Paperiumpaperium.net2025-12-012026-10-07exa
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
Qwen 2.5: a technical introduction and deployment reviewsgtcho.com2025-01-202026-10-07exa
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
Qwen2.5-LLM: Extending the boundary of LLMs | Qwenqwenlm.github.io official2024-09-182026-10-07exa

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

  • Qwen2-0.5B-Instruct · 494M
    same size band (S), same task (text-generation), permissive license
  • Qwen2-0.5B · 494M
    same size band (S), same task (text-generation), permissive license
  • pythia-410m · 506M
    same size band (S), same task (text-generation), permissive license

Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:34 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

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