Modele

Teuken 7B Instruct v0.6

OpenGPT-X (Teuken) · Furnizori EU

Doar în catalog Ponderi deschise Furnizor european

Ultima revizuire:

Suveranitate și găzduire

Doar în catalog

Acest model este catalogat ca referință. Nu este găzduit încă pe LLM EU și niciun endpoint propriu nu îl servește aici. Cererile către el merg direct la furnizor, conform termenilor acelui furnizor.

Rezumat

Teuken 7B Instruct v0.6 este un model german finanțat public, antrenat pe toate cele 24 de limbi oficiale ale UE, dezvoltat de Fraunhofer, Forschungszentrum Jülich, TU Dresden și DFKI. Este publicat sub licența CC-BY-NC-4.0, astfel încât ponderile sunt descărcabile, dar pot fi utilizate numai în scopuri private, necomerciale, de cercetare și educaționale. La propria evaluare EU21 a proiectului, obține o medie de 0,57, înaintea Llama 3.1 8B Instruct cu 0,563 și Mistral 7B Instruct v0.3 cu 0,527 pe același set de testare.

Specificații

Furnizor
OpenGPT-X (Teuken) (DE)
Fereastră de context
4.1k
Parametri
7.45B
Modalități
text
Licență
cc-by-nc-4.0 · licence
Ponderi deschise
yes
Data lansării
28 iul. 2025
Sarcini
Germană, Suport multilingv, Traducere, Sumarizare, Suport clienți

Limbi

Puternic: de, en, fr, es, it, nl, pl, pt, sv, cs, da, fi, el, ro

Adecvat: bg, et, ga, hr, hu, lt, lv, mt, sk, sl

Puternic

  • de
  • en
  • fr
  • es
  • it
  • nl
  • pl
  • pt
  • sv
  • cs
  • da
  • fi
  • el
  • ro

Adecvat

  • bg
  • et
  • ga
  • hr
  • hu
  • lt
  • lv
  • mt
  • sk
  • sl

Neverificat: furnizorul nu a documentat această afirmație. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

Când se folosește

Puncte forte

  • trained on all 24 official EU languages rather than English-first data
  • published EU21 evaluation against Llama 3.1 8B and Mistral 7B
  • small enough to run on one mid-range accelerator
  • German public funding, with evaluation code and data documentation

Limitări

  • CC-BY-NC-4.0 forbids commercial use of the released checkpoint
  • 4096-token context window
  • a 7B model, so reasoning and coding lag larger releases

Întrebări frecvente

Who built Teuken 7B Instruct v0.6?

The card credits Fraunhofer, Forschungszentrum Jülich, TU Dresden, DFKI; funded by the German Federal Ministry for Economic Affairs and Climate Action. Source: https://huggingface.co/openGPT-X/Teuken-7B-instruct-v0.6.

Can Teuken 7B Instruct v0.6 be used commercially?

No. It is published under CC-BY-NC-4.0 (https://creativecommons.org/licenses/by-nc/4.0/); the weights are downloadable, but the card says the licence "forbids commercial use of the released checkpoint" and allows only private, non-commercial, research and educational use.

What evaluation does Teuken 7B Instruct v0.6 publish?

The project's own EU21 evaluation (translated ARC, HellaSwag, TruthfulQA, MMLU) records 0.57 (project-reported) average, 0.59 (project-reported) on ARC and 0.66 (project-reported) on HellaSwag. The card states the project reports these itself and that they beat Llama 3.1 8B Instruct (0.563) and Mistral 7B Instruct v0.3 (0.527) on the same test set. Source: https://huggingface.co/openGPT-X/Teuken-7B-instruct-v0.6.

How large is Teuken 7B Instruct v0.6, and how many languages does it cover?

The card records 7.45B (safetensors total 7,452,725,248) (source: https://huggingface.co/api/models/openGPT-X/Teuken-7B-instruct-v0.6) over a 4096-token context window (source: https://huggingface.co/openGPT-X/Teuken-7B-instruct-v0.6/blob/main/config.json), trained on all 24 EU official languages: 14 recorded as strong and 10 more as supported.

Is Teuken 7B Instruct v0.6 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.