English(EN) Ornith 1.5 is actually pretty good

Ornith 1.5 因速度和工具调用能力而受到赞扬

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-28 04:29

一位Reddit用户分享了他们对Ornith 1.5语言模型的积极体验，称赞其速度和在工具调用方面的有效性。他们发现，与Qwen 3.8 27B相比，Ornith 1.5在满足其快速测试需求方面有了显著改进，每秒可处理约130个token。该用户称赞Ornith 1.5是一个称职的日常模型。 AI

影响 Ornith 1.5作为一款快速且功能强大的模型，对开发者展现出潜力，可能改进工具集成和测试工作流程。

排序理由用户对特定模型的评价，而非主要发布或重要的行业事件。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 2 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 用户对特定模型的评价，而非主要发布或重要的行业事件。
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; 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。

r/LocalLLaMA TIER_1 English(EN) · /u/deathcom65 · 2026-08-28 04:29

Ornith 1.5 实际上相当不错

<div class="md"><p>hey guys i recently started using ornith 1.5 to rapidly test some tools im working on since qwen 3.8 27b was too slow for my testing loop.</p> <p>This model is actually really good. im getting around 130 tokens / second with mtp and its very good…