---
id: 20260926-T0-14
title: "Pistis发布27B和9B多模态模型，基于Qwen架构后训练"
title_en: "Pistis Releases 27B and 9B Multimodal Models Built on Qwen"
url: https://ai.daily.yangsir.net/daily/20260926-T0-14
issue_date: 2026-09-26
publish_date: 2026-09-25T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2609.28554
---

# Pistis发布27B和9B多模态模型，基于Qwen架构后训练

Pistis技术报告介绍了其模型家族，包含27B和9B参数的多模态大语言模型，分别基于Qwen3.6和Qwen3.5构建。该系列采用一套通用且可扩展的后训练框架进行开发。报告显示，Pistis通过系统化的后训练流程，在基础模型之上提升了多模态理解和生成能力。两个尺寸的模型覆盖了不同部署需求：27B面向高性能场景，9B面向资源受限环境。这为开发者在Qwen生态基础上提供了新的多模态模型选择，可根据算力条件灵活选用。

## English Version

**Pistis Releases 27B and 9B Multimodal Models Built on Qwen**

The Pistis technical report introduces a model family of 27B and 9B parameter multimodal large language models, built on Qwen3.6 and Qwen3.5 respectively. Developed through a general and scalable post-training framework, Pistis enhances multimodal understanding and generation capabilities on top of the base models. The two sizes target different deployment needs: 27B for high-performance scenarios and 9B for resource-constrained environments. This gives developers new multimodal options within the Qwen ecosystem that can be selected flexibly based on compute availability.

---

**来源**：[arXiv cs.AI](https://arxiv.org/abs/2609.28554)

**详情页**：https://ai.daily.yangsir.net/daily/20260926-T0-14

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*