Models › DeepSeek family

deepseek-vl2-tiny

deepseek-ai DeepSeek License (deepseek) out 22 months ago

3.37B parameters, images and text in, text out.

Verified 2026-10-25 Rank #298 in LLMs · score 84 method v1 Sources 3 Downloads 30d 129.9k · #289 of 619 tracked

Can I run it?2.0GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?DeepSeek License (deepseek)Attribution requiredlicence file2026-10-24
Do people use it?129.9kdownloads, 30 days#289 of 619 we track · top 47%+4 likes, downloads +59% this week270 likesHugging Face2026-10-24

Worth reading

Picked by rule from 18 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 1,843 HN pts
github.com 2025-01-20 1,843 HN pts · 663 comments 2.1k words about the DeepSeek family family
Latest · 45 days ago
twitter.com 2026-09-10 1,016 HN pts · 574 comments about the DeepSeek family family

18 best of 18 tracked

The 2 picks above, plus these 16. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleDeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysisartificialanalysis.ai · 2026-07-31 · 594 HN pts
  2. PaperDeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RLarxiv.org · 2025-01-25 · 1,351 HN pts
  3. CodeDeepSeek releases Janus Pro, a text-to-image generator [pdf]github.com · 2025-01-27 · 912 HN pts
  4. CodeDeepSeek OCRgithub.com · 2025-10-20
  5. ArticleOpenAI says it has evidence DeepSeek used its model to train competitorft.com · 2025-01-29 · 747 HN pts
  6. CodeDeepSeek Open Infra: Open-Sourcing 5 AI Repos in 5 Daysgithub.com · 2025-02-21 · 757 HN pts
  7. CodeThe path to open-sourcing the DeepSeek inference enginegithub.com · 2025-04-14 · 550 HN pts
  8. PaperDeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understandingarxiv.org · undated
  9. CodeREADME.mdgithub.com · undated
  10. ArticleDeepSeek VL2 | Open Laboratoryopenlaboratory.com · undated
  11. Articledeepseek-vl2-tiny: memory, licence and fit | ANVEAIanveai.com · undated
  12. ArticleDeepSeek VL2 Small vs DeepSeek VL2 Tiny Pr… | AnotherWrapperanotherwrapper.com · undated
  13. ArticleDeepSeek-VL2: Open MoE Vision-Language Model | AI/TLDRai-tldr.dev · undated
  14. ArticleDeepSeek VL2: Open-Weight MoE Vision-Language Modeldeepseekai.guide · 2026-04-25
  15. ArticleDeepSeek-VL2 — benchmarks, pricing & hardware fit · Model Beatsmodelbeats.com · 2024-12-13
  16. ArticleDeepSeek-VL2 Review — Benchmarks, Pricing & AI Panel Verdict | TopReviewed.aitopreviewed.ai · 2024-12-12

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.

No API provider serves it, so its downloads are people running it themselves: 24 Spaces.

  • As a service0no API provider listed
  • On own hardware0quantized builds
  • Built on33 fine-tunes · 0 adapters · 0 merges
  • In apps24Hugging Face Spaces

Top Spaces running it: deepseek-ai/deepseek-vl2-small ♥ 612 · TIGER-Lab/MEGA-Bench ♥ 51 · Sarath0x8f/Document-QA-bot ♥ 33 · AskUI/DeepSeek-Vl-UI ♥ 5

Will it fit?

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

Fits a 16 GB card at INT4

About 2.0 GB at INT4, 4.0 GB at FP8, 8.1 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 2.0 GB of weights (estimate; KV cache and activations extra)INT42.0 GBFP8: about 4.0 GB of weights (estimate; KV cache and activations extra)FP84.0 GBBF16: about 8.1 GB of weights (estimate; KV cache and activations extra)BF168.1 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 2.0 GB of weights (estimate; KV cache and activations extra)INT42.0 GBFP8: about 4.0 GB of weights (estimate; KV cache and activations extra)FP84.0 GBBF16: about 8.1 GB of weights (estimate; KV cache and activations extra)BF168.1 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.

8 dated articles and 11 repo commits so far

Teal is the weights (2024-12-13), amber triangles are 8 dated articles (each links to it), grey ticks are repo commits.

What people built on it

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

3 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.

3 fine-tunes (Hugging Face model tree)3 fine-tunes
3 fine-tunes (Hugging Face model tree)3 fine-tunes

All variants →

Reference

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

What the card says

1 cited sentence

Summary generated, cited

The model is built on DeepSeekMoE-3B and uses 1.0B activated parameters.[1][2]

  1. “DeepSeek-VL2-tiny is built on DeepSeekMoE-3B”
  2. “total activated parameters are 1.0B”

Generated 2026-10-07 15:09 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

17 fields

Listed in LLMs

Facts

Pipeline tagimage-text-to-text
Librarytransformers
Model typedeepseek_vl_v2
Dtypebfloat16
Params by dtypeBF16: 3,370,501,440
Size bandM
MoEno
PapersarXiv:2412.10302
LicenseDeepSeek License (deepseek) (other)
Hub snapshot2026-10-25

Servability

SGLang

Servability

SGLang: not in registry · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

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 deepseek-vl2-tiny: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)8.1 GB · Single GPU (<24 GB)
FP8 (1 byte/param)4.0 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)2.0 GB · Edge (<4 GB)

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

All variants

3 variants

Lineage

Original model Family: deepseek-ai/DeepSeek 3 derivatives on the Hub

finetune: 3

Top variants (3 shown, ranked by downloads)

3 rows
Variant Relation Quant Params Band License Author Likes Downloads
gaoqie/DeepSeekVL2-Tiny-fire finetune — 3.37B M apache-2.0 gaoqie 0 157
samihalawa/APOLO-medical-multimodal-instruct finetune — — — apache-2.0 samihalawa 3 0
jinwei001/SpecPrefetch_deepseekvl2 finetune — 3.40B M apache-2.0 jinwei001 0 135

Repository changelog

11 commits

Repository changelog 11 commits

DateCommitSHA
2024-12-18 Update README.md 66c5466
2024-12-16 Update README.md e27ebc5
2024-12-13 Update README.md (#1) 3c8569f
2024-12-13 Update README.md 58925b0
2024-12-13 Update README.md 1ed1180
2024-12-13 Update README.md d0b9c1a
2024-12-13 Update README.md a63d09a
2024-12-13 Update README.md d132b40
2024-12-13 Update README.md 7daa9c5
2024-12-13 Upload folder using huggingface_hub 46a21c1
2024-12-13 initial commit 57ea787

Articles and coverage

18 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.

Analysis9

artificialanalysis.ai2026-07-31authorityHN front pageabout the DeepSeek familyHN 594 pts · 312 comments1,118 words
DeepSeek V4 Flash 0731 (Max) is a 284B parameter open-weight model released on July 31, 2026, under the MIT license. It scores 34 on the Artificial Analysis Intelligence Index while costing $0.14 per 1M input tokens and utilizing only 13B active parameters during inference. The model supports a 1M token context window and outputs text at 149.8 tokens per second.written, reviewed, cited
  • This model is deprecated and benchmarking continues only for the default 10k input token workload.
  • The model is notably fast but generates output that is very verbose compared to the median.
  • For a blended rate using a 7:2:1 cache hit/input/output ratio, the cost is $0.07 per 1M tokens.
arxiv.org2025-01-25authorityHN front pageabout the DeepSeek familyHN 1,351 pts · 1,056 comments371 words
github.com2025-01-20authorityHN front pageabout the DeepSeek familyHN 1,843 pts · 663 comments2,107 words
github.com2025-01-27authorityHN front pageabout the DeepSeek familyHN 912 pts · 674 comments
ft.com2025-01-29HN front pageabout the DeepSeek familyHN 747 pts · 1,541 comments
github.com2025-02-21authorityHN front pageabout the DeepSeek familyHN 757 pts · 236 comments497 words
github.com2025-04-14authorityHN front pageabout the DeepSeek familyHN 550 pts · 63 comments412 words
arxiv.orgauthorityabout the DeepSeek family10,213 words
github.comauthorityabout the DeepSeek family

Community1

twitter.com2026-09-10HN front pageabout the DeepSeek familyHN 1,016 pts · 574 comments
All coverage tracked for this model (18) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understandingarxiv.org—2026-10-14exa
README.mdgithub.com—2026-10-14exa
DeepSeek VL2 | Open Laboratoryopenlaboratory.com—2026-10-14exa
deepseek-vl2-tiny: memory, licence and fit | ANVEAIanveai.com—2026-10-14exa
DeepSeek VL2 Small vs DeepSeek VL2 Tiny Pr… | AnotherWrapperanotherwrapper.com—2026-10-14exa
DeepSeek-VL2: Open MoE Vision-Language Model | AI/TLDRai-tldr.dev—2026-10-14exa
DeepSeek v4.1 Flashtwitter.com2026-09-102026-10-07hn
DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysisartificialanalysis.ai2026-07-312026-10-07hn
DeepSeek VL2: Open-Weight MoE Vision-Language Modeldeepseekai.guide2026-04-252026-10-14exa
DeepSeek OCRgithub.com2025-10-202026-10-07hn
The path to open-sourcing the DeepSeek inference enginegithub.com2025-04-142026-10-07hn
DeepSeek Open Infra: Open-Sourcing 5 AI Repos in 5 Daysgithub.com2025-02-212026-10-07hn
OpenAI says it has evidence DeepSeek used its model to train competitorft.com2025-01-292026-10-07hn
DeepSeek releases Janus Pro, a text-to-image generator [pdf]github.com2025-01-272026-10-07hn
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RLarxiv.org2025-01-252026-10-07hn
DeepSeek-R1github.com2025-01-202026-10-07hn
DeepSeek-VL2 — benchmarks, pricing & hardware fit · Model Beatsmodelbeats.com2024-12-132026-10-14exa
DeepSeek-VL2 Review — Benchmarks, Pricing & AI Panel Verdict | TopReviewed.aitopreviewed.ai2024-12-122026-10-14exa

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

  • Qwen2.5-VL-3B-Instruct · 3.75B
    same size band (M), same task (image-text-to-text), more providers
  • gemma-3-4b-it · 4.30B
    same size band (M), same task (image-text-to-text), more providers
  • LocateAnything-3B · 3.83B
    same size band (M), same task (image-text-to-text)

Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:38 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:09 UTC · Last verified 2026-10-25

Follow deepseek-vl2-tiny

Watch this model

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