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    <title>PyPI recent updates for oomllama</title>
    <link>https://pypi.org/project/oomllama/</link>
    <description>Recent updates to the Python Package Index for oomllama</description>
    <language>en</language>    <item>
      <title>1.0.0a2</title>
      <link>https://pypi.org/project/oomllama/1.0.0a2/</link>
      <description>Sovereign AI Inference Engine — .oom quantization, Trust Kernel encryption, JIS identity routing, TIBET provenance. Spaceshuttle lazy loading, RAM-RAID distributed memory.</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sun, 19 Apr 2026 17:04:12 GMT</pubDate>
    </item>    <item>
      <title>1.0.0a1</title>
      <link>https://pypi.org/project/oomllama/1.0.0a1/</link>
      <description>Sovereign AI Inference Engine — .oom quantization, Trust Kernel encryption, JIS identity routing, TIBET provenance. Spaceshuttle lazy loading, RAM-RAID distributed memory.</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sun, 19 Apr 2026 07:11:44 GMT</pubDate>
    </item>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/oomllama/0.9.0/</link>
      <description>Efficient LLM inference engine with .oom format - from-scratch Rust, SafeTensors/GGUF converters</description>
<author>ai@humotica.nl, jasper@humotica.com</author>      <pubDate>Mon, 16 Mar 2026 10:28:26 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/oomllama/0.8.0/</link>
      <description>Efficient LLM inference engine with .oom format - from-scratch Rust, SafeTensors/GGUF converters</description>
<author>ai@humotica.nl, jasper@humotica.com</author>      <pubDate>Thu, 26 Feb 2026 15:37:43 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/oomllama/0.7.0/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Wed, 25 Feb 2026 10:45:40 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/oomllama/0.6.0/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF</description>
<author>ai@humotica.nl, jasper@humotica.com</author>      <pubDate>Sat, 21 Feb 2026 17:08:23 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/oomllama/0.5.0/</link>
      <description>OomLlama - Smart LLM routing with TIBET provenance. Route queries to the right model, track everything.</description>
<author>jasper@humotica.com, info@humotica.com</author>      <pubDate>Fri, 20 Feb 2026 13:49:02 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/oomllama/0.4.0/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF. Dual GPU support, RoPE, KV-Cache &amp; Flash Attention! pip install oomllama[cuda]</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Mon, 02 Feb 2026 04:48:34 GMT</pubDate>
    </item>    <item>
      <title>0.3.7</title>
      <link>https://pypi.org/project/oomllama/0.3.7/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF. Dual GPU support, RoPE, KV-Cache &amp; Flash Attention! pip install oomllama[cuda]</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 22:00:44 GMT</pubDate>
    </item>    <item>
      <title>0.3.6</title>
      <link>https://pypi.org/project/oomllama/0.3.6/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF. Dual GPU support, RoPE, KV-Cache &amp; Flash Attention! pip install oomllama[cuda]</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 21:33:05 GMT</pubDate>
    </item>    <item>
      <title>0.3.5</title>
      <link>https://pypi.org/project/oomllama/0.3.5/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF. Dual GPU support, RoPE, KV-Cache &amp; Flash Attention! pip install oomllama[cuda]</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 10:25:55 GMT</pubDate>
    </item>    <item>
      <title>0.3.4</title>
      <link>https://pypi.org/project/oomllama/0.3.4/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF. Now with RoPE, KV-Cache &amp; Flash Attention! pip install oomllama[cuda]</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 09:33:06 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/oomllama/0.3.2/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF. GPU inference requires: pip install oomllama[cuda]</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 07:35:59 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/oomllama/0.3.1/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF. GPU inference requires: pip install oomllama[cuda]</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 07:32:40 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/oomllama/0.3.0/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 07:25:28 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/oomllama/0.2.0/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 06:14:54 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/oomllama/0.1.0/</link>
      <description>Efficient LLM inference with .oom format - 2x smaller than GGUF</description>
<author>ai@humotica.nl, jasper@humotica.nl</author>      <pubDate>Sat, 17 Jan 2026 05:39:08 GMT</pubDate>
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