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

@@ -1,40 +1,54 @@
----
-license: other
-license_name: qwen
-license_link: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct/blob/main/LICENSE
-base_model:
-- Qwen/Qwen2.5-32B-Instruct
-base_model_relation: quantized
-tags:
-- VPTQ
-- Quantized
-- Quantization
----
-
-**Disclaimer**: 
-
-The model is reproduced based on the paper *VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models* [github](https://github.com/microsoft/vptq) and [arXiv](https://arxiv.org/abs/2409.17066)
-
-The model itself is sourced from a community release. 
-
-It is intended only for experimental purposes. 
-
-Users are responsible for any consequences arising from the use of this model.
-
-**Note**: 
-
-The PPL test results are for reference only and were collected using GPTQ testing script.
-
-```json
-{
-    "ctx_2048": {
-        "wikitext2": 5.773880958557129
-    },
-    "ctx_4096": {
-        "wikitext2": 5.349547386169434
-    },
-    "ctx_8192": {
-        "wikitext2": 5.094425201416016
-    }
-}
-```
+---
+license: other
+license_name: qwen
+license_link: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct/blob/main/LICENSE
+base_model:
+- Qwen/Qwen2.5-32B-Instruct
+base_model_relation: quantized
+tags:
+- VPTQ
+- Quantized
+- Quantization
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+**Disclaimer**: 
+
+The model is reproduced based on the paper *VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models* [github](https://github.com/microsoft/vptq) and [arXiv](https://arxiv.org/abs/2409.17066)
+
+The model itself is sourced from a community release. 
+
+It is intended only for experimental purposes. 
+
+Users are responsible for any consequences arising from the use of this model.
+
+**Note**: 
+
+The PPL test results are for reference only and were collected using GPTQ testing script.
+
+```json
+{
+    "ctx_2048": {
+        "wikitext2": 5.773880958557129
+    },
+    "ctx_4096": {
+        "wikitext2": 5.349547386169434
+    },
+    "ctx_8192": {
+        "wikitext2": 5.094425201416016
+    }
+}
+```