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---
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base_model: MiniMaxAI/MiniMax-M2
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base_model_relation: quantized
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quantized_by: ArtusDev
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---
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<style>
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.container-dark {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
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line-height: 1.6;
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color: #d4d4d4;
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a {
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color: #569cd6;
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text-decoration: none;
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font-weight: 600;
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box-shadow: 0 4px 12px rgba(0,0,0,0.3);
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font-size: 1.5em;
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display: table;
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font-size: 0.95em;
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color: #c586c0;
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text-align: left;
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details {
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border-radius: 8px;
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overflow: hidden;
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summary {
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width: 8px;
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height: 8px;
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border-bottom: 2px solid white;
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border-right: 2px solid white;
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transform: rotate(45deg);
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transition: transform 0.3s ease;
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details[open] > summary::after {
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transform: rotate(225deg);
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.details-content {
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padding: 18px;
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display: inline-block;
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background-color: #6A5ACD;
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color: white !important;
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padding: 12px 24px;
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border-radius: 8px;
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text-decoration: none;
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font-weight: 600;
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transition: background-color 0.3s ease, transform 0.2s ease;
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text-align: center;
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}
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.btn-purple:hover {
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background-color: #7B68EE;
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transform: translateY(-2px);
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}
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</style>
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<div class="container-dark">
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<div class="card-dark card-dark-title">
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<h1>ArtusDev/MiniMaxAI_MiniMax-M2-EXL3</h1>
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<p class="subtitle">
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EXL3 quants of <a href="https://huggingface.co/MiniMaxAI/MiniMax-M2" target="_blank">MiniMaxAI/MiniMax-M2</a> using <a href="https://github.com/turboderp-org/exllamav3/" target="_blank">exllamav3</a> for quantization.
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</p>
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</div>
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<div class="card-dark">
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<h2>Quants</h2>
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<table class="styled-table">
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<thead>
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<tr>
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<th>Quant</th>
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<th>BPW</th>
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<th>Head Bits</th>
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<th>Size (GB)</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td><a href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/3.0bpw_H6" target="_blank">3.0_H6</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/3.0bpw_H6" target="_blank">3.0</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/3.0bpw_H6" target="_blank">6</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/3.0bpw_H6" target="_blank">87.63</a></td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/3.5bpw_H6" target="_blank">3.5_H6</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/3.5bpw_H6" target="_blank">3.5</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/3.5bpw_H6" target="_blank">6</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/3.5bpw_H6" target="_blank">101.83</a></td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/4.0bpw_H6" target="_blank">4.0_H6</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/4.0bpw_H6" target="_blank">4.0</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/4.0bpw_H6" target="_blank">6</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/4.0bpw_H6" target="_blank">116.06</a></td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/4.25bpw_H6" target="_blank">4.25_H6</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/4.25bpw_H6" target="_blank">4.25</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/4.25bpw_H6" target="_blank">6</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/4.25bpw_H6" target="_blank">123.16</a></td>
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</tr>
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<tr>
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<td><a href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/8.0bpw_H8" target="_blank">8.0_H8</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/8.0bpw_H8" target="_blank">8.0</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/8.0bpw_H8" target="_blank">8</a></td>
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<td><a class="fake-link" href="https://huggingface.co/ArtusDev/MiniMaxAI_MiniMax-M2-EXL3/tree/8.0bpw_H8" target="_blank">205.60</a></td>
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</tr>
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</tbody>
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</table>
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</div>
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<div class="card-dark">
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<h2>How to Download and Use Quants</h2>
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<p>You can download quants by targeting specific size using the Hugging Face CLI.</p>
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<details>
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<summary>Click for download commands</summary>
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<div class="details-content">
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<b>1. Install huggingface-cli:</b>
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<pre><code>pip install -U "huggingface_hub[cli]"</code></pre>
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<b>2. Download a specific quant:</b>
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<pre><code>huggingface-cli download ArtusDev/MiniMaxAI_MiniMax-M2-EXL3 --revision "5.0bpw_H6" --local-dir ./</code></pre>
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</div>
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</details>
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<p>EXL3 quants can be run with any inference client that supports EXL3, such as <a href="https://github.com/theroyallab/tabbyapi" target="_blank"><b>TabbyAPI</b></a>. Refer to <a href="https://github.com/theroyallab/tabbyAPI/wiki/01.-Getting-Started" target="_blank">documentation</a> for set up instructions.</p>
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</div>
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<div class="card-dark">
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<h2>Quant Requests</h2>
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<div style="text-align: center; margin-top: 25px;">
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<a href="https://huggingface.co/ArtusDev/requests-exl/discussions/new?title=[MODEL_NAME_HERE]&description=[MODEL_HF_LINK_HERE]" class="btn-purple" target="_blank">Request EXL3 Quants</a>
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</div>
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<p class="subtitle">
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See <a href="https://huggingface.co/ArtusDev/requests-exl" target="_blank">EXL community hub</a> for request guidelines.
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</p>
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</div>
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