Update README.md

README.md

@@ -531,7 +531,212 @@ outputs = llm.chat(messages, sampling_params=sampling_params)
 
 print(outputs[0].outputs[0].text)
 ```
+
+## Inference Performance
+
+
+This model achieves up to 1.84x speedup in single-stream deployment and up to 1.78x speedup in multi-stream asynchronous deployment, depending on hardware and use-case scenario.
+The following performance benchmarks were conducted with [vLLM](https://docs.vllm.ai/en/latest/) version 0.7.2, and [GuideLLM](https://github.com/neuralmagic/guidellm).
+
+<details>
+<summary>Benchmarking Command</summary>
+```
+  guidellm --model nm-testing/Pixtral-Large-Instruct-2411-hf-quantized.w4a16 --target "http://localhost:8000/v1" --data-type emulated --data prompt_tokens=<prompt_tokens>,generated_tokens=<generated_tokens>,images=<num_images>,width=<image_width>,height=<image_height> --max seconds 120 --backend aiohttp_server
+```
+
+</details>
+
+### Single-stream performance (measured with vLLM version 0.7.2)
+
+<table border="1" class="dataframe">
+  <thead>
+    <tr>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th style="text-align: center;" colspan="2" >Document Visual Question Answering<br>1680W x 2240H<br>64/128</th>
+      <th style="text-align: center;" colspan="2" >Visual Reasoning <br>640W x 480H<br>128/128</th>
+      <th style="text-align: center;" colspan="2" >Image Captioning<br>480W x 360H<br>0/128</th>
+    </tr>
+    <tr>
+      <th>Hardware</th>
+      <th>Model</th>
+      <th>Average Cost Reduction</th>
+      <th>Latency (s)</th>
+      <th>QPD</th>
+      <th>Latency (s)th>
+      <th>QPD</th>
+      <th>Latency (s)</th>
+      <th>QPD</th>
+    </tr>
+  </thead>
+  <tbody style="text-align: center">
+    <tr>
+      <td>A100x4</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf</td>
+      <td></td>
+      <td>7.5</td>
+      <td>67</td>
+      <td>6.5</td>
+      <td>77</td>
+      <td>6.4</td>
+      <td>79</td>
+    </tr>
+    <tr>
+      <td>A100x2</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf-quantized.w8a8</td>
+      <td>1.86</td>
+      <td>8.1</td>
+      <td>124</td>
+      <td>7.1</td>
+      <td>142</td>
+      <td>6.8</td>
+      <td>148</td>
+    </tr>
+    <tr>
+      <td>A100x2</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf-quantized.w4a16</td>
+      <td>2.52</td>
+      <td>6.9</td>
+      <td>147</td>
+      <td>5.1</td>
+      <td>199</td>
+      <td>4.5</td>
+      <td>221</td>
+    </tr>
+    <tr>
+      <td>H100x4</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf</td>
+      <td></td>
+      <td>4.4</td>
+      <td>67</td>
+      <td>3.9</td>
+      <td>74</td>
+      <td>3.7</td>
+      <td>79</td>
+    </tr>
+    <tr>
+      <td>H100x2</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf-FP8-Dynamic</td>
+      <td>1.82</td>
+      <td>4.7</td>
+      <td>120</td>
+      <td>4.1</td>
+      <td>137</td>
+      <td>3.9</td>
+      <td>145</td>
+    </tr>
+    <tr>
+      <td>H100x2</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf-quantized.w4a16</td>
+      <td>1.87</td>
+      <td>4.7</td>
+      <td>120</td>
+      <td>3.9</td>
+      <td>144</td>
+      <td>3.8</td>
+      <td>149</td>
+    </tr>
+  </tbody>
+</table>
  
+
+
+### Multi-stream asynchronous performance (measured with vLLM version 0.7.2)
+
+<table border="1" class="dataframe">
+  <thead>
+    <tr>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th style="text-align: center;" colspan="2" >Document Visual Question Answering<br>1680W x 2240H<br>64/128</th>
+      <th style="text-align: center;" colspan="2" >Visual Reasoning <br>640W x 480H<br>128/128</th>
+      <th style="text-align: center;" colspan="2" >Image Captioning<br>480W x 360H<br>0/128</th>
+    </tr>
+    <tr>
+      <th>Hardware</th>
+      <th>Model</th>
+      <th>Average Cost Reduction</th>
+      <th>Maximum throughput (QPS)</th>
+      <th>QPD</th>
+      <th>Maximum throughput (QPS)</th>
+      <th>QPD</th>
+      <th>Maximum throughput (QPS)</th>
+      <th>QPD</th>
+    </tr>
+  </thead>
+  <tbody style="text-align: center">
+   <tr>
+      <td>A100x4</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf</td>
+      <td></td>
+      <td>0.4</td>
+      <td>222</td>
+      <td>0.7</td>
+      <td>341</td>
+      <td>0.8</td>
+      <td>399</td>
+    </tr>
+    <tr>
+      <td>A100x2</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf-quantized.w8a8</td>
+      <td>1.70</td>
+      <td>0.8</td>
+      <td>383</td>
+      <td>1.1</td>
+      <td>571</td>
+      <td>1.3</td>
+      <td>674</td>
+    </tr>
+    <tr>
+      <td>A100x2</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf-quantized.w4a16</td>
+      <td>1.48</td>
+      <td>0.5</td>
+      <td>276</td>
+      <td>1.0</td>
+      <td>505</td>
+      <td>1.4</td>
+      <td>680</td>
+    </tr>
+    <tr>
+      <td>H100x4</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf</td>
+      <td></td>
+      <td>1.0</td>
+      <td>284</td>
+      <td>1.6</td>
+      <td>465</td>
+      <td>1.8</td>
+      <td>511</td>
+    </tr>
+    <tr>
+      <td>H100x2</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf-FP8-Dynamic</td>
+      <td>1.61</td>
+      <td>1.7</td>
+      <td>467</td>
+      <td>2.6</td>
+      <td>726</td>
+      <td>3.2</td>
+      <td>908</td>
+    </tr>
+    <tr>
+      <td>H100x2</td>
+      <td>nm-testing/Pixtral-Large-Instruct-2411-hf-quantized.w4a16</td>
+      <td>1.33</td>
+      <td>1.4</td>
+      <td>393</td>
+      <td>2.2</td>
+      <td>634</td>
+      <td>2.7</td>
+      <td>764</td>
+    </tr>
+  </tbody>
+</table>
+
+
 ## The Mistral AI Team
 
 Albert Jiang, Alexandre Sablayrolles, Alexis Tacnet, Alok Kothari, Antoine Roux, Arthur Mensch, Audrey Herblin-Stoop, Augustin Garreau, Austin Birky, Bam4d, Baptiste Bout, Baudouin de Monicault, Blanche Savary, Carole Rambaud, Caroline Feldman, Devendra Singh Chaplot, Diego de las Casas, Diogo Costa, Eleonore Arcelin, Emma Bou Hanna, Etienne Metzger, Gaspard Blanchet, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Harizo Rajaona, Henri Roussez, Hichem Sattouf, Ian Mack, Jean-Malo Delignon, Jessica Chudnovsky, Justus Murke, Kartik Khandelwal, Lawrence Stewart, Louis Martin, Louis Ternon, Lucile Saulnier, Lélio Renard Lavaud, Margaret Jennings, Marie Pellat, Marie Torelli, Marie-Anne Lachaux, Marjorie Janiewicz, Mickaël Seznec, Nicolas Schuhl, Niklas Muhs, Olivier de Garrigues, Patrick von Platen, Paul Jacob, Pauline Buche, Pavan Kumar Reddy, Perry Savas, Pierre Stock, Romain Sauvestre, Sagar Vaze, Sandeep Subramanian, Saurabh Garg, Sophia Yang, Szymon Antoniak, Teven Le Scao, Thibault Schueller, Thibaut Lavril, Thomas Wang, Théophile Gervet, Timothée Lacroix, Valera Nemychnikova, Wendy Shang, William El Sayed, William Marshall