<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: ZYR AI</title>
    <description>The latest articles on DEV Community by ZYR AI (@zyr_ai).</description>
    <link>https://dev.to/zyr_ai</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4181022%2F6501fa01-e12e-4d20-9c99-39a0a8ee306d.png</url>
      <title>DEV Community: ZYR AI</title>
      <link>https://dev.to/zyr_ai</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/zyr_ai"/>
    <language>en</language>
    <item>
      <title>ZY-S1 Preview: fine-tuning a 1.18B HRM-Text model, built in India</title>
      <dc:creator>ZYR AI</dc:creator>
      <pubDate>Tue, 13 Oct 2026 04:57:32 +0000</pubDate>
      <link>https://dev.to/zyr_ai/zy-s1-preview-fine-tuning-a-118b-hrm-text-model-built-in-india-4d6</link>
      <guid>https://dev.to/zyr_ai/zy-s1-preview-fine-tuning-a-118b-hrm-text-model-built-in-india-4d6</guid>
      <description>&lt;p&gt;I just released &lt;strong&gt;ZY-S1 Preview&lt;/strong&gt;, a quick experimental model from ZYR AI, built in India: &lt;a href="https://huggingface.co/zyr-AGENT/ZY-S1" rel="noopener noreferrer"&gt;https://huggingface.co/zyr-AGENT/ZY-S1&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Training
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;1.183B parameters, fine-tuned from Sapient AI's HRM-Text-1B (a PrefixLM)&lt;/li&gt;
&lt;li&gt;1,000 SFT steps plus 120 corrective steps on a filtered MnemicAI/Ling-Coder-SFT-English-Clean&lt;/li&gt;
&lt;li&gt;Apache-2.0&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Early scores (25 questions each, base → ZY-S1)
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;DROP: EM 4 → 4, F1 18.24 → 19.76&lt;/li&gt;
&lt;li&gt;ARC-Challenge: 76 → 80&lt;/li&gt;
&lt;li&gt;MMLU: 48 → 52&lt;/li&gt;
&lt;li&gt;MATH-500: 4 → 0&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Running it
&lt;/h2&gt;

&lt;p&gt;Load it with &lt;code&gt;trust_remote_code=True&lt;/code&gt; and pass &lt;code&gt;token_type_ids&lt;/code&gt; (1 for prompt tokens, 0 for generated tokens).&lt;/p&gt;

&lt;p&gt;Full evals are coming next. Feedback is very welcome! 🇮🇳&lt;/p&gt;

</description>
      <category>llm</category>
      <category>ai</category>
      <category>machinelearning</category>
      <category>opensource</category>
    </item>
  </channel>
</rss>
