el4/Darwin-36B-Opus-OPAL-GGUF overview

---

base_model: FINAL-Bench/Darwin-36B-Opus

base_model_relation: quantized

tags:

- gguf

- llama.cpp

- imatrix

- moe

- reasoning

- qwen3

- opal

pipeline_tag: text-generation

---

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<h1 style="margin: 0; font-size: 28px; font-weight: 900; display: flex; align-items: center; gap: 12px; color: #ecfeff; border: none;"><a href="https://huggingface.co/spaces/el4/OPAL" display: flex; align-items: center; gap: 12px;">💎 OPAL</a></h1>

<span style="background: #06b6d4; color: #042f2e; font-size: 11px; font-weight: 900; padding: 5px 12px; border-radius: 999px; text-transform: uppercase; letter-spacing: 0.7px; box-shadow: 0 0 12px rgba(6, 182, 212, 0.5);">Consumer-GPU Quantization Harness</span>

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<p style="margin: 10px 0 0 0; font-size: 14px; color: #a5f3fc; font-weight: 600;">This repo contains OPAL Quants of FINAL-Bench/Darwin-36B-Opus</p>

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<th style="padding: 10px; border-bottom: 2px solid #14b8a6; text-align: left; color: #5eead4; font-weight: 900;">Tier Name</th>

<th style="padding: 10px; border-bottom: 2px solid #14b8a6; text-align: left; color: #5eead4; font-weight: 900;">Target Size</th>

<th style="padding: 10px; border-bottom: 2px solid #14b8a6; text-align: left; color: #5eead4; font-weight: 900;">Middle Layer Strategy</th>

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<tr><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); font-weight: 800; color: #e2e8f0;">💎 <code style="color:#67e8f9;">quality</code></td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">~23 GB</td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">IQ4_XS</td></tr>

<tr style="background: rgba(12, 74, 110, 0.2);"><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); font-weight: 800; color: #e2e8f0;">⚖️ <code style="color:#67e8f9;">balanced</code></td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">~25 GB</td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">Q5_K</td></tr>

<tr><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); font-weight: 800; color: #e2e8f0;">📦 <code style="color:#67e8f9;">compact</code></td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">~18 GB</td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">Q3_K</td></tr>

<tr style="background: rgba(12, 74, 110, 0.2);"><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); font-weight: 800; color: #e2e8f0;">🚀 <code style="color:#67e8f9;">mini</code></td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">~14 GB</td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">IQ2_S</td></tr>

<tr><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); font-weight: 800; color: #e2e8f0;">🔬 <code style="color:#67e8f9;">micro</code></td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">~11 GB</td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">IQ1_M</td></tr>

<tr style="background: rgba(12, 74, 110, 0.2);"><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); font-weight: 800; color: #e2e8f0;">🤏 <code style="color:#67e8f9;">nano</code></td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">~12 GB</td><td style="padding: 10px; border-bottom: 1px solid rgba(20, 184, 166, 0.2); color: #94a3b8;">IQ2_XXS</td></tr>

<tr><td style="padding: 10px; font-weight: 800; color: #e2e8f0;">🛡️ <code style="color:#67e8f9;">exp-minimalist</code></td><td style="padding: 10px; color: #94a3b8;">~16 GB</td><td style="padding: 10px; color: #94a3b8;">IQ2_XXS (Protected Edges)</td></tr>

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<h3 style="margin: 0; color: #ecfeff; border: none; font-size: 19px; font-weight: 900;">📚 Credits</h3>

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<p style="margin: 0 0 12px 0;">👉 <b style="color: #fff;">APEX Quantization Method</b><br>Ettore Di Giacinto & Richard Palethorpe (LocalAI Team). OPAL adapts the layer-wise precision gradients and MoE-aware tensor classification outlined in the APEX technical paper.</p>

<p style="margin: 0 0 12px 0;">👉 <b style="color: #fff;">Bartowski and Lamim</b><br>For the excellent semantic imatrix calibration dataset that powers OPAL's activation scaling.</p>

<p style="margin: 0 0 12px 0;">👉 <b style="color: #fff;">llama.cpp</b><br>Georgi Gerganov and contributors for the foundational inference and quantization engine.</p>

<p style="margin: 0 0 12px 0;">👉 <b style="color: #fff;">HuggingFace Accelerate</b><br>For the <code style="color:#a5f3fc;">init_empty_weights()</code> context manager that makes the 0-RAM "Ghost Model" possible.</p>

<p style="margin: 0;">👉 <b style="color: #fff;">Jackrong</b><br>For the sexy markdown readme inspo.</p>

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<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="#fbbf24"><path d="M12 1.75L5.75 12.25L12 16L18.25 12.25L12 1.75M5.75 13.5L12 17.25L18.25 13.5L12 22.25L5.75 13.5Z"/></svg>

Support the Project

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A coffee in Ethereum would be cool! Although I don't drink coffee—I think it tastes like burnt water—but a pink lemonade would be fire! 🔥

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<a href="https://etherscan.io/address/0xDEE7fa8C421BD038D32e4441ea1aDe72fE973706" target="_blank" style="display: inline-block; background: #050B0E; border: 1px solid #4b5563; border-radius: 12px; padding: 12px 24px; font-family: 'JetBrains Mono', monospace; font-size: 13px; color: #fbbf24; letter-spacing: 0.5px; text-decoration: underline; text-underline-offset: 4px; transition: all 0.3s ease;">

0xDEE7fa8C421BD038D32e4441ea1aDe72fE973706

</a>

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