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      <title>Aria (1000&#43; ⭐)</title>
      <link>https://coobiw.github.io/project/aria/</link>
      <pubDate>Thu, 10 Oct 2024 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Aria is a multimodal native MoE model. It features：1️⃣State-of-the-art performance on various multimodal and language tasks, superior in video and document understanding; 2️⃣Long multimodal context window of 64K tokens; 3️⃣3.9B activated parameters per token, enabling fast inference speed and low fine-tuning cost.&lt;/p&gt;</description>
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      <title>MPP-Qwen-Next (400&#43; ⭐)</title>
      <link>https://coobiw.github.io/project/mpp-llava/</link>
      <pubDate>Mon, 25 Dec 2023 00:00:00 +0000</pubDate>
      <guid>https://coobiw.github.io/project/mpp-llava/</guid>
      <description>&lt;p&gt;The Repo supports {video/image/multi-image} {single/multi-turn} conversations. All 7B/14B llava-like training is conducted on 3090/4090 GPUs. &lt;em&gt;&lt;strong&gt;To prevent poverty (24GB of VRAM) from limiting imagination&lt;/strong&gt;&lt;/em&gt;, I implemented an MLLM version based on deepspeed Pipeline Parallel.&lt;/p&gt;</description>
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