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

@@ -1,39 +1,51 @@
----
-license: apache-2.0
-license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/main/LICENSE
-language:
-- en
-pipeline_tag: text-generation
-base_model: Qwen/Qwen2.5-0.5B-Instruct
-tags:
-- chat
-- mlx
-- mlx-my-repo
-library_name: transformers
----
-
-# ubaitur5/Qwen2.5-0.5B-Instruct-Q3-mlx
-
-The Model [ubaitur5/Qwen2.5-0.5B-Instruct-Q3-mlx](https://huggingface.co/ubaitur5/Qwen2.5-0.5B-Instruct-Q3-mlx) was converted to MLX format from [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) using mlx-lm version **0.20.5**.
-
-## Use with mlx
-
-```bash
-pip install mlx-lm
-```
-
-```python
-from mlx_lm import load, generate
-
-model, tokenizer = load("ubaitur5/Qwen2.5-0.5B-Instruct-Q3-mlx")
-
-prompt="hello"
-
-if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
-    messages = [{"role": "user", "content": prompt}]
-    prompt = tokenizer.apply_chat_template(
-        messages, tokenize=False, add_generation_prompt=True
-    )
-
-response = generate(model, tokenizer, prompt=prompt, verbose=True)
-```
+---
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/main/LICENSE
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+pipeline_tag: text-generation
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+tags:
+- chat
+- mlx
+- mlx-my-repo
+library_name: transformers
+---
+
+# ubaitur5/Qwen2.5-0.5B-Instruct-Q3-mlx
+
+The Model [ubaitur5/Qwen2.5-0.5B-Instruct-Q3-mlx](https://huggingface.co/ubaitur5/Qwen2.5-0.5B-Instruct-Q3-mlx) was converted to MLX format from [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) using mlx-lm version **0.20.5**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("ubaitur5/Qwen2.5-0.5B-Instruct-Q3-mlx")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```