English(EN) I taught a 27B model to write Forge apps. As far as I can find, nobody had done that before

开源模型被训练用于编写Atlassian Forge应用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-17 20:56

一位开发者训练了一个拥有270亿参数的开源模型Qwen3.8-27B，使其能够生成Atlassian Forge应用程序。这个微调后的模型在其基础版本上表现出显著的改进，能够生成有效的Forge清单和可编译的应用程序，这是基础模型无法实现的壮举。开发者声称，这是第一个专门为编写Forge应用而训练的开源模型，其性能指标和训练细节已在Hugging Face和GitHub上公开。 AI

影响这一发展可能能够更有效地创建Atlassian生态系统应用，并可能启发其他开发平台出现类似的专业模型。

排序理由发布了一个带有性能证据的微调开源模型。[lever_c_demoted from research: ic=1 ai=1.0]

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Signal score: 31 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 发布了一个带有性能证据的微调开源模型。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

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dev.to — LLM tag TIER_1 English(EN) · Mihai Perdum · 2026-09-17 20:56

我教会了一个27B模型编写Forge应用。据我所知，以前没有人这样做过

<h3> Key takeaways </h3> <ul> <li>Atlassian Models is Qwen3.8-27B taught Forge, Jira, Confluence and JSM from real apps, the docs, the OpenAPI specs and our own community answers. The 27B's weights are on Hugging Face under Apache-2.0 in five artefacts, and a 9B member joined it …

本文如何被排名

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我教会了一个27B模型编写Forge应用。据我所知，以前没有人这样做过

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