---
base_model: nvidia/Qwen-3-Nemotron-32B-RLBFF
base_model_relation: quantized
quantized_by: ArtusDev
license: other
license_name: nvidia-open-model-license
license_link: >-
  https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
inference: false
fine-tuning: false
language:
- en
tags:
  - nvidia
  - qwen3
  - exl3
datasets:
  - nvidia/HelpSteer3
library_name: transformers
---
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<div class="container-dark">

  <div class="card-dark card-dark-title">
    <h1>ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3</h1>
    <p class="subtitle">
      EXL3 quants of <a href="https://huggingface.co/nvidia/Qwen-3-Nemotron-32B-RLBFF" target="_blank">nvidia/Qwen-3-Nemotron-32B-RLBFF</a> using <a href="https://github.com/turboderp-org/exllamav3/" target="_blank">exllamav3</a> for quantization.
    </p>
  </div>

  <div class="card-dark">
    <h2>Quants</h2>
    <table class="styled-table">
      <thead>
        <tr>
          <th>Quant</th>
          <th>BPW</th>
          <th>Head Bits</th>
          <th>Size (GB)</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <td><a href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/2.5bpw_H6" target="_blank">2.5_H6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/2.5bpw_H6" target="_blank">2.5</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/2.5bpw_H6" target="_blank">6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/2.5bpw_H6" target="_blank">11.93</a></td>
        </tr>
        <tr>
          <td><a href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/3.0bpw_H6" target="_blank">3.0_H6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/3.0bpw_H6" target="_blank">3.0</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/3.0bpw_H6" target="_blank">6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/3.0bpw_H6" target="_blank">13.88</a></td>
        </tr>
        <tr>
          <td><a href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/3.5bpw_H6" target="_blank">3.5_H6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/3.5bpw_H6" target="_blank">3.5</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/3.5bpw_H6" target="_blank">6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/3.5bpw_H6" target="_blank">15.83</a></td>
        </tr>
        <tr>
          <td><a href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/4.0bpw_H6" target="_blank">4.0_H6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/4.0bpw_H6" target="_blank">4.0</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/4.0bpw_H6" target="_blank">6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/4.0bpw_H6" target="_blank">17.78</a></td>
        </tr>
        <tr>
          <td><a href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/4.5bpw_H6" target="_blank">4.5_H6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/4.5bpw_H6" target="_blank">4.5</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/4.5bpw_H6" target="_blank">6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/4.5bpw_H6" target="_blank">19.73</a></td>
        </tr>
        <tr>
          <td><a href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/5.0bpw_H6" target="_blank">5.0_H6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/5.0bpw_H6" target="_blank">5.0</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/5.0bpw_H6" target="_blank">6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/5.0bpw_H6" target="_blank">21.68</a></td>
        </tr>
        <tr>
          <td><a href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/6.0bpw_H6" target="_blank">6.0_H6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/6.0bpw_H6" target="_blank">6.0</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/6.0bpw_H6" target="_blank">6</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/6.0bpw_H6" target="_blank">25.58</a></td>
        </tr>
        <tr>
          <td><a href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/8.0bpw_H8" target="_blank">8.0_H8</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/8.0bpw_H8" target="_blank">8.0</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/8.0bpw_H8" target="_blank">8</a></td>
          <td><a class="fake-link" href="https://huggingface.co/ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3/tree/8.0bpw_H8" target="_blank">33.57</a></td>
        </tr>
      </tbody>
    </table>
  </div>

  <div class="card-dark">
    <h2>How to Download and Use Quants</h2>
    <p>You can download quants by targeting specific size using the Hugging Face CLI.</p>
    <details>
      <summary>Click for download commands</summary>
      <div class="details-content">
        <b>1. Install huggingface-cli:</b>
         <pre><code>pip install -U "huggingface_hub[cli]"</code></pre>
        <b>2. Download a specific quant:</b>
         <pre><code>huggingface-cli download ArtusDev/nvidia_Qwen-3-Nemotron-32B-RLBFF-EXL3 --revision "5.0bpw_H6" --local-dir ./</code></pre>
      </div>
    </details>
    <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>
  </div>

  <div class="card-dark">
    <h2>Quant Requests</h2>
    <div style="text-align: center; margin-top: 25px;">
      <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>
    </div>
    <p class="subtitle">
      See <a href="https://huggingface.co/ArtusDev/requests-exl" target="_blank">EXL community hub</a> for request guidelines.
    </p>
  </div>

  <div class="card-dark">
    <h2>Acknowledgements</h2>
    <p style="text-align: center; font-size: 1.1em; margin-top: 10px;">
      Made possible with cloud compute from <a href="https://lium.io/" target="_blank"><b>lium.io</b></a>
    </p>
  </div>

</div>