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deepseek-ai DeepSeek License (deepseek) out 3 years ago
7.34B parameters, images and text in, text out.
Verified 2026-10-25 Rank #761 in LLMs · score 71.3 method v1 Sources 3 Downloads 30d 5.8k · #535 of 619 tracked
Picked by rule from 9 tracked pieces: the lab's own post, the most shared, a field report, the latest.
The 2 picks above, plus these 7. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.
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.
Weights only, an estimate: leave room for the KV cache. Method
About 4.4 GB at INT4, 8.8 GB at FP8, 18 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2024-03-07), amber triangles are 8 dated articles (each links to it).
6 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
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.
Listed in LLMs
| Pipeline tag | image-text-to-text |
|---|---|
| Library | transformers |
| Architectures | MultiModalityCausalLM |
| Model type | multi_modality |
| Params by dtype | F16: 7,343,990,017 |
| Size band | M |
| MoE | no |
| Papers | arXiv:2403.05525 |
| License | DeepSeek License (deepseek) (other) |
| Hub snapshot | 2026-10-25 |
Weights-only memory for deepseek-vl-7b-chat: 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) | 8.8 GB · Single GPU (<24 GB) |
| INT4 (0.5 bytes/param) | 4.4 GB · Single GPU (<24 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
finetune: 2adapter: 4
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| gaoqie/DeepSeekVL-7B-Chat-fire | finetune | — | 7.34B | M | apache-2.0 | gaoqie | 0 | 134 |
| zeromodels/deepseek_vl_7b_chat | finetune | — | — | — | other | zeromodels | 0 | 123 |
| takashiyamamoto/deepseekvlsft202507281610 | adapter | — | — | — | other | takashiyamamoto | 0 | 35 |
| takashiyamamoto/deepseeksft202507281606 | adapter | — | — | — | other | takashiyamamoto | 0 | 34 |
| takashiyamamoto/deepseekvlsft202507281601 | adapter | — | — | — | other | takashiyamamoto | 0 | 30 |
| robinn6/deepseek-vl-7b-coco-refg-lora-upgraded-bbox | adapter | — | — | — | apache-2.0 | robinn6 | 0 | 0 |
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.
| Title | Source | Published | First seen | Signals |
|---|---|---|---|---|
| DeepSeek v4.1 Flash | twitter.com | 2026-09-10 | 2026-10-14 | hn |
| DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis | artificialanalysis.ai | 2026-07-31 | 2026-10-14 | hn |
| DeepSeek OCR | github.com | 2025-10-20 | 2026-10-14 | hn |
| The path to open-sourcing the DeepSeek inference engine | github.com | 2025-04-14 | 2026-10-14 | hn |
| DeepSeek Open Infra: Open-Sourcing 5 AI Repos in 5 Days | github.com | 2025-02-21 | 2026-10-14 | hn |
| OpenAI says it has evidence DeepSeek used its model to train competitor | ft.com | 2025-01-29 | 2026-10-14 | hn |
| DeepSeek releases Janus Pro, a text-to-image generator [pdf] | github.com | 2025-01-27 | 2026-10-14 | hn |
| DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL | arxiv.org | 2025-01-25 | 2026-10-14 | hn |
| DeepSeek-R1 | github.com | 2025-01-20 | 2026-10-14 | hn |
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).
Hub snapshot: 2026-10-25 · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-14 14:08 UTC · Last verified 2026-10-25
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