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

@@ -1,64 +1,78 @@
----
-base_model:
-- Qwen/Qwen2.5-1.5B-Instruct
-- Qwen/Qwen2.5-1.5B
-tags:
-- merge
-- mergekit
-- lazymergekit
-- Qwen/Qwen2.5-1.5B-Instruct
-- Qwen/Qwen2.5-1.5B
-license: apache-2.0
----
-
-# ECE-1B-merge-PRYMMAL
-
-ECE-1B-merge-PRYMMAL is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
-* [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B)
-
-## 🧩 Configuration
-
-```yaml
-slices:
-  - sources:
-      - model: Qwen/Qwen2.5-1.5B-Instruct
-        layer_range: [0, 28]
-      - model: Qwen/Qwen2.5-1.5B
-        layer_range: [0, 28]
-merge_method: slerp
-base_model: Qwen/Qwen2.5-1.5B-Instruct
-parameters:
-  t:
-    - filter: self_attn
-      value: [0, 0.5, 0.3, 0.7, 1]
-    - filter: mlp
-      value: [1, 0.5, 0.7, 0.3, 0]
-    - value: 0.5
-dtype: bfloat16
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "LilRg/ECE-1B-merge-PRYMMAL"
-messages = [{"role": "user", "content": "What is a large language model?"}]
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
-print(outputs[0]["generated_text"])
+---
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Qwen/Qwen2.5-1.5B-Instruct
+- Qwen/Qwen2.5-1.5B
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# ECE-1B-merge-PRYMMAL
+
+ECE-1B-merge-PRYMMAL is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
+* [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: Qwen/Qwen2.5-1.5B-Instruct
+        layer_range: [0, 28]
+      - model: Qwen/Qwen2.5-1.5B
+        layer_range: [0, 28]
+merge_method: slerp
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "LilRg/ECE-1B-merge-PRYMMAL"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
 ```