# Tema_Q LLM: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/temaq-org
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Text generation

### [Tema_Q-X7-Thinking](https://savrn.com/models/tema-q-x7-thinking)

[Tema_Q LLM](https://savrn.com/model-publishers/temaq-org)

TemaQ-X7-Thinking（天馬求） は、Ornith AIが開発したモデル Ornith-1.5 を基盤にした、エージェント向けの大規模言語モデル（LLM）です。 TemaQ-X7-Thinking (TemaQ model) is an enhanced Large Language Model (LLM) designed for agent applications, based on the Ornith-1.5 model developed by Ornith AI. It is engineered to generate more flexible and useful responses, even for prompts that are difficult for standard models to handle effectively. When used in conjunction with TemaQ Agent, it enables advanced reasoning capabilities. ユーザーの責任: モデルの利用者は、生成されたコンテンツが、適用される法律、規制、およびHugging Faceの利用規約/コンテンツポリシーに準拠することを全面的に保証する必要があります。

Open weights 36B parameters 262,144 tokens

[View model](https://savrn.com/models/tema-q-x7-thinking)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-03.
- [Hugging Face profile](https://huggingface.co/temaq-org)
- [How the hub is built](https://savrn.com/model-hub/methodology)