Modeli

DeepSeek-V3.2

DeepSeek

Samo v katalogu Odprte uteži

Nazadnje pregledano:

Suverenost in gostovanje

Samo v katalogu

Ta model je v katalogu za referenco. Na LLM EU še ni gostovan in noben lastni endpoint ga tukaj ne streže. Zahteve zanj gredo neposredno k ponudniku, pod lastnimi pogoji tega ponudnika.

Povzetek

DeepSeek-V3.2 je model mešanice strokovnjakov s 685B parametri, izdan pod licenco MIT, z največjo konfiguracijo 163.840 žetonov. Njegova glavna arhitekturna sprememba je DeepSeek Sparse Attention, ki jo prodajalec opisuje kot zmanjšanje računske cene sklepanja z dolgim kontekstom. Je model samo za besedilo in potrebuje večvozliščno uvedbo z natančnostjo polne natančnosti.

Specifikacije

Ponudnik
DeepSeek (CN)
Kontekstno okno
164k
Parametri
685.36B
Modalnosti
text
Licenca
mit · licence
Odprte uteži
yes
Datum izdaje
01. dec. 2025
Naloge
Razmišljanje, Kodiranje, Povzemanje, Pridobivanje (RAG)

Jeziki

Močno: en, zh

Zadostno: de, fr, es, it, pt, ru, ja, ko, ar

Močno

  • en
  • zh

Zadostno

  • de
  • fr
  • es
  • it
  • pt
  • ru
  • ja
  • ko
  • ar

Ni preverjeno: ponudnik te trditve ni dokumentiral. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

Kdaj ga uporabiti

Prednosti

  • MIT licence
  • sparse attention aimed at lower long-context inference cost
  • 163,840-token configuration maximum

Omejitve

  • 685B parameters: full-precision serving needs several nodes
  • vendor efficiency claims are not independently reproduced here
  • no evaluation has been run by LLM EU

Pogosto zastavljena vprašanja

Is DeepSeek-V3.2 served on LLM EU?

It has no endpoint in the catalogue, so it is catalogue only — not hosted on LLM EU yet, with no region and no retention to report. A card whose status is "listed" is a catalogue entry, not a running deployment.

Under what licence is DeepSeek-V3.2 released?

DeepSeek-V3.2 is recorded under mit. The recorded licence text is https://opensource.org/license/mit. The weights are downloadable (open_weights is true). LLM EU republishes the licence id and the link and gives no legal advice; the licence text governs.

How large is DeepSeek-V3.2, and what context window does it have?

DeepSeek-V3.2 is recorded at 685B (safetensors total 685,355,329,792) (source: https://huggingface.co/api/models/deepseek-ai/DeepSeek-V3.2), with a context window of 163840 tokens (source: https://huggingface.co/deepseek-ai/DeepSeek-V3.2/blob/main/config.json).