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

@@ -1,38 +1,50 @@
----
-base_model: Qwen/Qwen2.5-72B-Instruct
-language:
-- en
-license: other
-license_name: qwen
-license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
-pipeline_tag: text-generation
-tags:
-- chat
-- mlx
----
-
-# mlx-community/Qwen2.5-72B-Instruct-4bit
-
-The Model [mlx-community/Qwen2.5-72B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen2.5-72B-Instruct-4bit) was converted to MLX format from [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) using mlx-lm version **0.18.2**.
-
-## Use with mlx
-
-```bash
-pip install mlx-lm
-```
-
-```python
-from mlx_lm import load, generate
-
-model, tokenizer = load("mlx-community/Qwen2.5-72B-Instruct-4bit")
-
-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)
-```
+---
+base_model: Qwen/Qwen2.5-72B-Instruct
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+license: other
+license_name: qwen
+license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- chat
+- mlx
+---
+
+# mlx-community/Qwen2.5-72B-Instruct-4bit
+
+The Model [mlx-community/Qwen2.5-72B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen2.5-72B-Instruct-4bit) was converted to MLX format from [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) using mlx-lm version **0.18.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Qwen2.5-72B-Instruct-4bit")
+
+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)
+```