Improve language tag

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

README.md

@@ -1,47 +1,61 @@
----
-license: apache-2.0
-datasets:
-- arcee-ai/EvolKit-20k
-base_model:
-- Qwen/Qwen2.5-1.5B
----
-# EVA-D Qwen2.5-1.5B v0.0
-
-<p>
-  An experimental online logit distillation of EVA-Qwen2.5-14B-v0.1 into Qwen2.5-1.5B. Should work as a RP/storywriting specialist, but don't expect superb performance from it, due to it's small size. All in all, it was a fun experiment to do.<br>
-</p>
-
-<p>Note: using quantized KV cache with Qwen2.5 <b>is not recommended</b> and can lead to degraded output quality. On the other hand, Qwen's KV cache is already light enough, so using f16 for it shouldn't be problematic.</p>
-
-<p>
-  <p>Prompt format is ChatML.</p><br>
-  <h3>Recommended sampler values:</h3>
-  <ul>
-  <li>Temperature: 1</li>
-  <li>Min-P: 0.02</li>
-  </ul>
-  
-  <h3>Recommended SillyTavern presets (via CalamitousFelicitousness):</h3>
-
-  - [Context](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Context.json)
-  - [Instruct and System Prompt](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Instruct.json)
-</p>
-
-<p>
-  <br>
-  <h3>
-    Distillation data:
-  </h3>
-    <ul>
-      <li>Arcee.AI's <a href=https://huggingface.co/datasets/arcee-ai/EvolKit-20k>EvolKit-20k</a> dataset, which is specifically made for knowledge distillation purposes.</li>
-    </ul>
-  <h3>
-     Training time and hardware:
-  </h3>
-      <ul><li>1.8 hours on 8xA100 SXM, provided by Garg</li></ul><br>
-</p>
-  <p>Model was trained by Kearm and Auri.</p>
-  <h4>Special thanks:</h4><ul>
-  <li><b>to Garg for generously providing 8xA100 SXM node for this experiment!</b></li>
-  <li>to Arcee.AI for creating DistillKit and EvolKit-20k dataset, which were used to create this model.</li>
+---
+license: apache-2.0
+datasets:
+- arcee-ai/EvolKit-20k
+base_model:
+- Qwen/Qwen2.5-1.5B
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+# EVA-D Qwen2.5-1.5B v0.0
+
+<p>
+  An experimental online logit distillation of EVA-Qwen2.5-14B-v0.1 into Qwen2.5-1.5B. Should work as a RP/storywriting specialist, but don't expect superb performance from it, due to it's small size. All in all, it was a fun experiment to do.<br>
+</p>
+
+<p>Note: using quantized KV cache with Qwen2.5 <b>is not recommended</b> and can lead to degraded output quality. On the other hand, Qwen's KV cache is already light enough, so using f16 for it shouldn't be problematic.</p>
+
+<p>
+  <p>Prompt format is ChatML.</p><br>
+  <h3>Recommended sampler values:</h3>
+  <ul>
+  <li>Temperature: 1</li>
+  <li>Min-P: 0.02</li>
+  </ul>
+  
+  <h3>Recommended SillyTavern presets (via CalamitousFelicitousness):</h3>
+
+  - [Context](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Context.json)
+  - [Instruct and System Prompt](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Instruct.json)
+</p>
+
+<p>
+  <br>
+  <h3>
+    Distillation data:
+  </h3>
+    <ul>
+      <li>Arcee.AI's <a href=https://huggingface.co/datasets/arcee-ai/EvolKit-20k>EvolKit-20k</a> dataset, which is specifically made for knowledge distillation purposes.</li>
+    </ul>
+  <h3>
+     Training time and hardware:
+  </h3>
+      <ul><li>1.8 hours on 8xA100 SXM, provided by Garg</li></ul><br>
+</p>
+  <p>Model was trained by Kearm and Auri.</p>
+  <h4>Special thanks:</h4><ul>
+  <li><b>to Garg for generously providing 8xA100 SXM node for this experiment!</b></li>
+  <li>to Arcee.AI for creating DistillKit and EvolKit-20k dataset, which were used to create this model.</li>
   <li>and to Allura-org for support and feedback on EVA models.</li></ul>