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Poland

KI-Organisationen und -Modelle aus Poland

Aktive Organisationen

3

Erfasste Modelle

12

Neuestes Modell

Sept. 2026

Neueste Releases aus Poland

September 2026

Logo von Aion Labs
aion-labs/aion-3.5-mini

Aion 3.5 Mini is an AionLabs reasoning model with a 256K context window and low, high, and max reasoning efforts.

Eingabe
Ausgabe
23.09.2026

Mai 2026

Logo von Aion Labs
aion-labs/aion-3.0-mini

Aion 3.0 Mini is a multi-model text system built on the DeepSeek family of models. It uses multiple specialized models during generation to improve narrative structure, tension, conflict, and mature-theme handling.

Eingabe
Ausgabe
14.05.2026
Logo von Aion Labs
aion-labs/aion-3.0

Aion 3.0 is a multi-model text system built on the GLM family of models. It uses multiple specialized models during generation to improve narrative structure, tension, conflict, and mature-theme handling.

Eingabe
Ausgabe
05.05.2026

März 2026

Logo von Aion Labs
aion-labs/aion-2.5

Aion 2.5 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It accepts text inputs and produces text outputs.

Eingabe
Ausgabe
10.03.2026

Dezember 2025

Logo von Aion Labs
aion-labs/aion-2.0

Aion 2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It accepts text inputs and produces text outputs.

Eingabe
Ausgabe
21.12.2025

Januar 2025

Logo von Aion Labs
aion-labs/aion-1.0

Aion 1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It accepts text inputs and produces text outputs.

Eingabe
Ausgabe
29.01.2025
Logo von Aion Labs
aion-labs/aion-1.0-mini

Aion 1.0 Mini is a distilled version of the DeepSeek-R1 model, designed for strong performance in reasoning domains such as mathematics, coding, and logic.

Eingabe
Ausgabe
29.01.2025

November 2024

Logo von Aion Labs
aion-labs/aion-rp-llama-3.1-8b

Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other's responses.

Eingabe
Ausgabe
30.11.2024

Unknown

speakleash/bielik-10b-v2.3-instruct

A retiring Polish-language instruction model.

Eingabe
Ausgabe
Datum unbekannt

Organisationen aus Poland

Modelle aus Poland

Durchsuche den vollständigen, nach Organisationen gruppierten Katalog.

12 Modelle

Aion Labs

9 Modelle
Logo von Aion Labs
aion-labs/aion-3.5

Aion 3.5 is an AionLabs reasoning model with a 256K context window and low, high, and max reasoning efforts.

Eingabe
Ausgabe
23.09.2026
Logo von Aion Labs
aion-labs/aion-3.5-mini

Aion 3.5 Mini is an AionLabs reasoning model with a 256K context window and low, high, and max reasoning efforts.

Eingabe
Ausgabe
23.09.2026
Logo von Aion Labs
aion-labs/aion-3.0-mini

Aion 3.0 Mini is a multi-model text system built on the DeepSeek family of models. It uses multiple specialized models during generation to improve narrative structure, tension, conflict, and mature-theme handling.

Eingabe
Ausgabe
14.05.2026
Logo von Aion Labs
aion-labs/aion-3.0

Aion 3.0 is a multi-model text system built on the GLM family of models. It uses multiple specialized models during generation to improve narrative structure, tension, conflict, and mature-theme handling.

Eingabe
Ausgabe
05.05.2026
Logo von Aion Labs
aion-labs/aion-2.5

Aion 2.5 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It accepts text inputs and produces text outputs.

Eingabe
Ausgabe
10.03.2026
Logo von Aion Labs
aion-labs/aion-2.0

Aion 2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It accepts text inputs and produces text outputs.

Eingabe
Ausgabe
21.12.2025

SpeakLeash

3 Modelle
speakleash/bielik-10b-v2.3-instruct

A retiring Polish-language instruction model.

Eingabe
Ausgabe
Datum unbekannt
speakleash/bielik-11b-v2.6-instruct

A retiring Polish-language instruction model.

Eingabe
Ausgabe
Datum unbekannt
speakleash/bielik-11b-v3.0-instruct

A Polish-language instruction model with function calling.

Eingabe
Ausgabe
Datum unbekannt

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