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        <title>SmolLM3 - 标签 - vllbc02&#39;s blogs</title>
        <link>https://blog.vllbc.top/tags/smollm3/</link>
        <description>SmolLM3 - 标签 - vllbc02&#39;s blogs</description>
        <generator>Hugo -- gohugo.io</generator><language>zh-CN</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Sat, 06 Jun 2026 00:00:00 &#43;0000</lastBuildDate><atom:link href="https://blog.vllbc.top/tags/smollm3/" rel="self" type="application/rss+xml" /><item>
    <title>SmolLM3</title>
    <link>https://blog.vllbc.top/smollm3/</link>
    <pubDate>Sat, 06 Jun 2026 00:00:00 &#43;0000</pubDate>
    <author>vllbc</author>
    <guid>https://blog.vllbc.top/smollm3/</guid>
    <description><![CDATA[<h1 id="smollm3">SmolLM3</h1>
<blockquote>
<p>原文第 7 节。HuggingFace 的 3B 模型，介于 Qwen3 1.7B 和 4B 之间。</p>
</blockquote>
<h2 id="总体定位">总体定位</h2>
<ul>
<li>3B 参数 size：兼顾能力与本地可运行性</li>
<li>训练透明度：与 OLMo 类似，公开了大量训练细节</li>
<li>性能：在与 Qwen3 1.7B / 4B、Llama 3 3B、Gemma 3 4B
的对比中处于前列</li>
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