Add Qwen3.5-4B Pingala-8 to the models table

README.md

@@ -18,6 +18,7 @@ Founded by Harshit Goyal, former Google software engineer and IIIT Delhi alumnus
 |---|---|---|---|
 | [Qwen3-4B-Pingala8-2bit](https://huggingface.co/Genrius-AI/Qwen3-4B-Pingala8-2bit) | 1.24 GB | 16.64 | 28.61 |
 | [Llama-3.1-8B-Pingala8-2bit](https://huggingface.co/Genrius-AI/Llama-3.1-8B-Pingala8-2bit) | 2.39 GB | 9.14 | 12.35 |
+| [Qwen3.5-4B-Pingala8-2bit](https://huggingface.co/Genrius-AI/Qwen3.5-4B-Pingala8-2bit) | 1.51 GB | 10.97 | 14.75 |
 
 Lower is better. The files need our patched llama.cpp build (NVIDIA CUDA); stock llama.cpp, Ollama and LM Studio cannot load them.
 

index.html

@@ -26,6 +26,7 @@
     <tr><th>Model</th><th>Size</th><th>WikiText-2 PPL, ours</th><th>IQ2_XXS, same size</th></tr>
     <tr><td><a href="https://huggingface.co/Genrius-AI/Qwen3-4B-Pingala8-2bit" target="_blank" rel="noopener noreferrer">Qwen3-4B-Pingala8-2bit</a></td><td>1.24 GB</td><td>16.64</td><td>28.61</td></tr>
     <tr><td><a href="https://huggingface.co/Genrius-AI/Llama-3.1-8B-Pingala8-2bit" target="_blank" rel="noopener noreferrer">Llama-3.1-8B-Pingala8-2bit</a></td><td>2.39 GB</td><td>9.14</td><td>12.35</td></tr>
+    <tr><td><a href="https://huggingface.co/Genrius-AI/Qwen3.5-4B-Pingala8-2bit" target="_blank" rel="noopener noreferrer">Qwen3.5-4B-Pingala8-2bit</a></td><td>1.51 GB</td><td>10.97</td><td>14.75</td></tr>
   </table>
   <p class="lead">Lower is better. The files need our patched llama.cpp build (NVIDIA CUDA); stock llama.cpp, Ollama and LM Studio cannot load them.</p>
   <h2>Pingala-8: 2-bit LLMs for llama.cpp, no retraining</h2>
@@ -41,7 +42,7 @@
     <li><a href="https://github.com/Genrius-AI/pingala8-llm/releases/tag/v2.4-oneclick" target="_blank" rel="noopener noreferrer">One-click Windows build</a></li>
     <li><a href="https://github.com/Genrius-AI/pingala8-llm" target="_blank" rel="noopener noreferrer">Code</a></li>
     <li><a href="https://doi.org/10.5281/zenodo.23481757" target="_blank" rel="noopener noreferrer">Paper</a></li>
-    <li><a href="https://huggingface.co/Genrius-AI/Qwen3-4B-Pingala8-2bit" target="_blank" rel="noopener noreferrer">Qwen3-4B-Pingala8-2bit</a> and <a href="https://huggingface.co/Genrius-AI/Llama-3.1-8B-Pingala8-2bit" target="_blank" rel="noopener noreferrer">Llama-3.1-8B-Pingala8-2bit</a></li>
+    <li><a href="https://huggingface.co/Genrius-AI/Qwen3-4B-Pingala8-2bit" target="_blank" rel="noopener noreferrer">Qwen3-4B-Pingala8-2bit</a>, <a href="https://huggingface.co/Genrius-AI/Llama-3.1-8B-Pingala8-2bit" target="_blank" rel="noopener noreferrer">Llama-3.1-8B-Pingala8-2bit</a> and <a href="https://huggingface.co/Genrius-AI/Qwen3.5-4B-Pingala8-2bit" target="_blank" rel="noopener noreferrer">Qwen3.5-4B-Pingala8-2bit</a> (text only)</li>
     <li><a href="https://huggingface.co/datasets/Genrius-AI/pingala8-benchmarks" target="_blank" rel="noopener noreferrer">Benchmark tables</a></li>
   </ul>
 </main>