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    <title>PyPI recent updates for amazingvmsloth</title>
    <link>https://pypi.org/project/amazingvmsloth/</link>
    <description>Recent updates to the Python Package Index for amazingvmsloth</description>
    <language>en</language>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/amazingvmsloth/0.3.2/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant, web dashboard</description>
      <pubDate>Fri, 22 May 2026 18:03:06 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/amazingvmsloth/0.3.1/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant, web dashboard</description>
      <pubDate>Fri, 22 May 2026 17:52:07 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/amazingvmsloth/0.3.0/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant, web dashboard</description>
      <pubDate>Fri, 22 May 2026 17:21:18 GMT</pubDate>
    </item>    <item>
      <title>0.2.10</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.10/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Tue, 19 May 2026 16:02:27 GMT</pubDate>
    </item>    <item>
      <title>0.2.9</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.9/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Tue, 19 May 2026 15:29:55 GMT</pubDate>
    </item>    <item>
      <title>0.2.8</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.8/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Mon, 18 May 2026 17:40:58 GMT</pubDate>
    </item>    <item>
      <title>0.2.7</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.7/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Mon, 18 May 2026 17:27:49 GMT</pubDate>
    </item>    <item>
      <title>0.2.6</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.6/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Mon, 18 May 2026 17:21:05 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.5/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Mon, 18 May 2026 17:14:27 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.4/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Mon, 18 May 2026 17:09:10 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.3/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 17:33:34 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.2/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 17:29:32 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.1/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 16:19:09 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/amazingvmsloth/0.2.0/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 16:09:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.9/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 15:53:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.8/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 14:53:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.7/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 14:40:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.6/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 14:21:30 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.5/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 14:09:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.4/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 14:05:32 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.3/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 13:56:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.2/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 07:23:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.1/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sun, 17 May 2026 07:12:33 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/amazingvmsloth/0.1.0/</link>
      <description>Blazing-fast LLM fine-tuning with minimal VRAM — multi-GPU, manual LoRA gradients, flash attention, 4-bit quant</description>
      <pubDate>Sat, 16 May 2026 17:49:59 GMT</pubDate>
    </item>  </channel>
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