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English(EN) Tested 15 local models for agent/tool use.. Bonsai 27B was last!

15个本地LLM模型测试代理/工具使用;qwen/qwen3.8-27b领先

一位用户使用Toolery基准测试了15个本地大型语言模型在工具和代理使用方面的能力。该基准测试包含四个难度级别的143个场景,每个模型在每个场景下进行3次试验。模型在本地使用LM Studio运行,具有30k token上下文窗口和0.8的温度。qwen/qwen3.8-27b模型以71.8%的总分获得最高分,在简单和中等难度级别中表现尤为出色。 AI

影响 提供了本地LLM在代理任务方面的实际能力见解,指导用户选择用于工具使用的模型。

排序理由 用户进行的基准测试和对多个开源模型的比较。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

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

15个本地LLM模型测试代理/工具使用;qwen/qwen3.8-27b领先

本文如何被排名

Signal score
9 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户进行的基准测试和对多个开源模型的比较。[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。

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Reno0vacio ·

    测试了15个本地模型用于代理/工具使用.. Bonsai 27B 是最后一个!

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxoiug/tested_15_local_models_for_agenttool_use_bonsai/"> <img alt="Tested 15 local models for agent/tool use.. Bonsai 27B was last!" src="https://preview.redd.it/hc91j4zu6ith1.png?width=140&amp;height=37&amp…