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<span class="section-label" id="news">// Latest_Updates</span>
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<a href="why-we-chose-llama.html" class="post-card">
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<div class="post-date">2026-05-12</div>
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<h3>Why we chose Llama over Mistral, DeepSeek, Qwen and Mamba for Supra Mini v3</h3>
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<span class="section-label" id="news">// Latest_Updates</span>
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<a href="1bit-quantization.html" class="post-card">
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<div class="post-date">2026-05-12</div>
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<h3>1Bit quantization: a sensitive area for tiny models</h3>
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<p>1Bit quantization, a 50/50 chance area for tiny models...</p>
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<div class="tags" style="margin-top: 1.5rem;">
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<span class="tag">#research</span>
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<span class="tag">#1bit</span>
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<span class="tag">#llama</span>
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<span class="tag">#open-source</span>
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<span class="tag">#1.58b</span>
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</div>
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</a>
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<a href="why-we-chose-llama.html" class="post-card">
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<div class="post-date">2026-05-12</div>
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<h3>Why we chose Llama over Mistral, DeepSeek, Qwen and Mamba for Supra Mini v3</h3>
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