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    <title>DeepSeek on Bitsy Wiki</title>
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    <description>Recent content in DeepSeek on Bitsy Wiki</description>
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      <title>DeepSeek-V4</title>
      <link>https://wiki.bitsy.services/wiki/ai/models/deepseek/deepseek-v4/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://wiki.bitsy.services/wiki/ai/models/deepseek/deepseek-v4/</guid>
      <description>&lt;p&gt;DeepSeek-V4 is &lt;a href=&#34;https://wiki.bitsy.services/wiki/ai/models/deepseek&#34;&gt;DeepSeek&lt;/a&gt;&amp;rsquo;s current generation, announced 24 April 2026. It ships as two models — &lt;code&gt;deepseek-v4-pro&lt;/code&gt; at 1.6 trillion total parameters with 49 billion active, and a Flash line several times smaller — both with a million-token context, both under the MIT licence.&lt;/p&gt;&#xA;&lt;p&gt;The generation matters for two reasons beyond its size. It is where DeepSeek &lt;strong&gt;finished merging its reasoning line back into its general line&lt;/strong&gt;, so that thinking is a per-request setting rather than a separate model. And it is where the architecture that made the lab&amp;rsquo;s name, multi-head latent attention, stopped being what it ships.&lt;/p&gt;</description>
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      <title>DeepSeek-R1</title>
      <link>https://wiki.bitsy.services/wiki/ai/models/deepseek/r1/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://wiki.bitsy.services/wiki/ai/models/deepseek/r1/</guid>
      <description>&lt;p&gt;DeepSeek-R1 is a reasoning model released by &lt;a href=&#34;https://wiki.bitsy.services/wiki/ai/models/deepseek&#34;&gt;DeepSeek&lt;/a&gt; in January 2025, built on DeepSeek-V3-Base: 671 billion total parameters, 37 billion active per token. Its weights are published under the MIT licence.&lt;/p&gt;&#xA;&lt;p&gt;It earns a page of its own for one result. Its predecessor &lt;strong&gt;DeepSeek-R1-Zero&lt;/strong&gt; was trained to reason by &lt;a href=&#34;https://wiki.bitsy.services/wiki/ai/llm/rlhf&#34;&gt;reinforcement learning&lt;/a&gt; alone — starting from a base model that had never been shown a single worked example of step-by-step reasoning, with no supervised fine-tuning stage at all. Long chains of thought, self-correction and the habit of checking an answer before committing to it were not demonstrated to the model. They appeared during training, because they earned reward.&lt;/p&gt;</description>
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