Update README.md

README.md

@@ -112,21 +112,8 @@ library_name: transformers
 ### *Türkiye’s First Vision-Language Model — Efficient, Multimodal, and Reasoning-Focused* 
 
 [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
-[![Language: English](https://img.shields.io/badge/Language-English-blue.svg)]()
-[![HuggingFace](https://img.shields.io/badge/🤗-Lamapi/Next--X1-V-orange.svg)](https://huggingface.co/Lamapi/next-x1)
-
----
-
-## 📊 Performance & Benchmarks
-
-Next-X1-V 7B has been evaluated for **text and image understanding**, reasoning, and generation:
-
-* **Perplexity (Turkish text):** ~12–15
-* **Tokens/sec on 4-bit consumer GPUs:** 500–1200
-* **Image captioning accuracy:** High fidelity for complex scenes
-* **Multimodal reasoning:** Consistent and coherent across images and text
-
-> Indicates competitive performance for a **4B multimodal model**, deployable on standard GPUs with **very low latency**.
+[![Language: English](https://img.shields.io/badge/Language-Multilingual-red.svg)]()
+[![HuggingFace](https://img.shields.io/badge/🤗-Lamapi/Next--4B-orange.svg)](https://huggingface.co/Lamapi/next-4b)
 
 ---
 
@@ -143,6 +130,128 @@ This model is ideal for **researchers, developers, and organizations** who need
 
 ---
 
+<style>
+  table { width:fit-content; border-collapse:separate; border-spacing:0 3px;font-family:system-ui, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;background:rgba(15,22,32,0.4);border-radius:16px;padding: 10px; border:none;transition:.2s all ease;}
+  thead th { text-align:center; padding:4px 10px; font-size:13px; text-transform:uppercase; color:rgb(200,200,200);border:none; }
+  tbody tr { transition: transform 0.18s ease, box-shadow 0.18s ease; border:none !important;transition:.2s all ease;border-radius:16px;background:rgba(0, 0, 0, 0.38);}
+  tbody .turkish:hover {box-shadow:0 6px 15px rgba(0, 0, 0, 0.27);scale:1.01;background:rgba(80, 38, 38, 0.6);}
+  tbody .next:hover {box-shadow:0 6px 15px rgba(0, 0, 0, 0.27);scale:1.02;background: rgba(0, 59, 225, 1)}
+  tbody tr:hover { box-shadow:0 0px 15px rgba(102, 102, 102, 0.13); background:rgba(139, 139, 139, 0.16)}
+  td { padding:8px 10px;border:0px transparent !important;outline:transparent !important; text-align:center; }
+  td:first-child { font-weight:600;text-align:left }
+  /* tbody .turkish td { background: rgba(255, 0, 0, 0.2) !important; color:rgb(200,200,200); font-weight:400;border:0px !important; scale:1.0; } */
+  /* tbody .next td { background: rgba(0, 89, 255, 0.49)!important; color:rgb(200,200,200); font-weight:600;border:0px !important; scale:1.00;outline:none;border:none !important;} */
+  .next{
+    background: rgba(0, 89, 255, 0.49);
+  }
+  .turkish{
+    background:rgba(51, 34, 34, 0.64);
+  }
+  tbody tr td:first-child { border-top-left-radius:12px; border-bottom-left-radius:12px; }
+  tbody tr td:last-child { border-top-right-radius:12px; border-bottom-right-radius:12px; } strong{
+    font-size:16px;font-weight:700;
+  }
+  em{opacity:0.7;font-size:11px !important;}
+</style>
+
+# Our Next 1B and Next 4B models are leading to all of the tiny models in benchmarks. 
+
+<table>
+  <thead>
+    <tr>
+      <th>Model</th>
+      <th>MMLU (5-shot) %</th>
+      <th>MMLU-Pro %</th>
+      <th>GSM8K %</th>
+      <th>MATH %</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr class="next">
+      <td data-label="Model">Next 4B preview <em>Version s325</em></td>
+      <td data-label="MMLU (5-shot) %">84.61</td>
+      <td data-label="MMLU-Pro %">66.92</td>
+      <td data-label="GSM8K %">82.7</td>
+      <td data-label="MATH %">70.5</td>
+    </tr>
+    <tr class="next">
+      <td data-label="Model">Next 1B <em>Version t327</em></td>
+      <td data-label="MMLU (5-shot) %"><strong>90.3</strong></td>
+      <td data-label="MMLU-Pro %"><strong>69.23</strong></td>
+      <td data-label="GSM8K %"><strong>91.53</strong></td>
+      <td data-label="MATH %"><strong>77.1</strong></td>
+    </tr>
+    <tr>
+      <td data-label="Model">Qwen 3 0.6B</td>
+      <td data-label="MMLU (5-shot) %">52.81</td>
+      <td data-label="MMLU-Pro %">37.56</td>
+      <td data-label="GSM8K %">60.65</td>
+      <td data-label="MATH %">20.5</td>
+    </tr>
+    <tr>
+      <td data-label="Model">Llama 3.2 1B</td>
+      <td data-label="MMLU (5-shot) %">49.3</td>
+      <td data-label="MMLU-Pro %">44.4</td>
+      <td data-label="GSM8K %">11.9</td>
+      <td data-label="MATH %">30.6</td>
+    </tr>
+    <tr class="turkish">
+      <td data-label="Model">Kumru 7B</td>
+      <td data-label="MMLU (5-shot) %">30.76</td>
+      <td data-label="MMLU-Pro %">28.57</td>
+      <td data-label="GSM8K %">-</td>
+      <td data-label="MATH %">-</td>
+    </tr>
+  </tbody>
+</table>
+
+---
+
+# Also, our Next Z1 model is leading to state-of-the-art models in some of the Benchmarks.
+<table>
+  <thead>
+    <tr>
+      <th>Model</th>
+      <th>MMLU (5-shot) %</th>
+      <th>MMLU-Pro %</th>
+      <th>GSM8K %</th>
+      <th>MATH %</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr class="next">
+      <td data-label="Model">Next Z1 <em>Version l294</em></td>
+      <td data-label="MMLU (5-shot) %"><strong>97.32</strong></td>
+      <td data-label="MMLU-Pro %"><strong>94.2</strong></td>
+      <td data-label="GSM8K %">97.7</td>
+      <td data-label="MATH %">93.21</td>
+    </tr>
+    <tr class="next">
+      <td data-label="Model">Next Z1 <em>Version l294</em> (no tool)</td>
+      <td data-label="MMLU (5-shot) %">94.7</td>
+      <td data-label="MMLU-Pro %">90.14</td>
+      <td data-label="GSM8K %">94.5</td>
+      <td data-label="MATH %">88.7</td>
+    </tr>
+    <tr>
+      <td data-label="Model">GPT 5</td>
+      <td data-label="MMLU (5-shot) %">92.5</td>
+      <td data-label="MMLU-Pro %">87.0</td>
+      <td data-label="GSM8K %"><strong>98.4</strong></td>
+      <td data-label="MATH %"><strong>96.0</strong></td>
+    </tr>
+    <tr>
+      <td data-label="Model">Claude Opus 4.1 (Thinking)</td>
+      <td data-label="MMLU (5-shot) %">~92.0</td>
+      <td data-label="MMLU-Pro %">87.8</td>
+      <td data-label="GSM8K %">84.7</td>
+      <td data-label="MATH %">95.4</td>
+    </tr>
+  </tbody>
+</table>
+
+---
+
 ## 🚀 Installation & Usage
 
 ### Use with vision: