Update README.md

README.md

@@ -10,6 +10,87 @@ base_model: OuteAI/Lite-Oute-1-300M-Instruct
 This model was converted to OpenVINO from [`OuteAI/Lite-Oute-1-300M-Instruct`](https://huggingface.co/OuteAI/Lite-Oute-1-300M-Instruct) using [optimum-intel](https://github.com/huggingface/optimum-intel)
 via the [export](https://huggingface.co/spaces/echarlaix/openvino-export) space.
 
+# Lite-Oute-1-300M-Instruct
+
+Lite-Oute-1-300M-Instruct is a Lite series model based on the Mistral architecture, comprising approximately 300 million parameters. <br>
+This model aims to improve upon our previous 150M version by increasing size and training on a more refined dataset. The primary goal of this 300 million parameter model is to offer enhanced performance while still maintaining efficiency for deployment on a variety of devices. <br>
+With its larger size, it should provide improved context retention and coherence, however users should note that as a compact model, it still have limitations compared to larger language models. <br>
+The model was trained on 30 billion tokens with a context length of 4096.
+
+## Available versions:
+<a href="https://huggingface.co/OuteAI/Lite-Oute-1-300M-Instruct">Lite-Oute-1-300M-Instruct</a> <br>
+<a href="https://huggingface.co/OuteAI/Lite-Oute-1-300M-Instruct-GGUF">Lite-Oute-1-300M-Instruct-GGUF</a> <br>
+<a href="https://huggingface.co/OuteAI/Lite-Oute-1-300M">Lite-Oute-1-300M</a> <br>
+<a href="https://huggingface.co/OuteAI/Lite-Oute-1-300M-GGUF">Lite-Oute-1-300M-GGUF</a> <br>
+
+## Chat format
+> [!IMPORTANT]
+> This model uses **ChatML** template. Ensure you use the correct template:
+
+```
+<|im_start|>system
+[System message]<|im_end|>
+<|im_start|>user
+[Your question or message]<|im_end|>
+<|im_start|>assistant
+[The model's response]<|im_end|>
+```
+
+## Benchmarks:
+<table style="text-align: left;">
+  <tr>
+    <th>Benchmark</th>
+    <th>5-shot</th>
+    <th>0-shot</th>
+  </tr>
+  <tr>
+    <td>ARC Challenge</td>
+    <td>26.37</td>
+    <td>26.02</td>
+  </tr>
+  <tr>
+    <td>ARC Easy</td>
+    <td>51.43</td>
+    <td>49.79</td>
+  </tr>
+  <tr>
+    <td>CommonsenseQA</td>
+    <td>20.72</td>
+    <td>20.31</td>
+  </tr>
+  <tr>
+    <td>HellaSWAG</td>
+    <td>34.93</td>
+    <td>34.50</td>
+  </tr>
+  <tr>
+    <td>MMLU</td>
+    <td>25.87</td>
+    <td>24.00</td>
+  </tr>
+  <tr>
+    <td>OpenBookQA</td>
+    <td>31.40</td>
+    <td>32.20</td>
+  </tr>
+  <tr>
+    <td>PIQA</td>
+    <td>65.07</td>
+    <td>65.40</td>
+  </tr>
+  <tr>
+    <td>Winogrande</td>
+    <td>52.01</td>
+    <td>53.75</td>
+  </tr>
+</table>
+
+
+
+
+
+
+
 First make sure you have optimum-intel installed:
 
 ```bash