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

@@ -1,69 +1,82 @@
----
-base_model:
-- Qwen/Qwen2.5-7B
-- Qwen/Qwen2.5-Coder-7B
-- Qwen/Qwen2.5-7B-Instruct
-- Qwen/Qwen2.5-Math-7B
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# nthehai01/Qwen2.5-7B-Instruct-Math-Code-breadcrumbs
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-## Performance
-|             Metric              |Value|
-|---------------------------------|----:|
-|GSM8k (zero-shot)                |90.06|
-|HellaSwag (zero-Shot)            |82.77|
-|MBPP (zero-shot)                 |62.21|
-
-## Merge Details
-### Merge Method
-
-This model was merged using the [Model Breadcrumbs](https://arxiv.org/abs/2312.06795) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* [Qwen/Qwen2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B)
-* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
-* [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-base_model: Qwen/Qwen2.5-7B
-dtype: bfloat16
-merge_method: breadcrumbs
-parameters:
-  lambda: 0.9075603207928135
-  normalize: 1.0
-slices:
-- sources:
-  - layer_range: [0, 28]
-    model: Qwen/Qwen2.5-7B
-  - layer_range: [0, 28]
-    model: Qwen/Qwen2.5-Math-7B
-    parameters:
-      density: 0.11722197443445775
-      gamma: 0.07547691839721048
-      weight: 0.17267293536872041
-  - layer_range: [0, 28]
-    model: Qwen/Qwen2.5-Coder-7B
-    parameters:
-      density: 0.48352747334554935
-      gamma: 0.0753405327865558
-      weight: 0.11164770709858211
-  - layer_range: [0, 28]
-    model: Qwen/Qwen2.5-7B-Instruct
-    parameters:
-      density: 0.8190520808683315
-      gamma: 0.022307694128235696
-      weight: 0.7626295102691242
-```
+---
+base_model:
+- Qwen/Qwen2.5-7B
+- Qwen/Qwen2.5-Coder-7B
+- Qwen/Qwen2.5-7B-Instruct
+- Qwen/Qwen2.5-Math-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+# nthehai01/Qwen2.5-7B-Instruct-Math-Code-breadcrumbs
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Performance
+|             Metric              |Value|
+|---------------------------------|----:|
+|GSM8k (zero-shot)                |90.06|
+|HellaSwag (zero-Shot)            |82.77|
+|MBPP (zero-shot)                 |62.21|
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [Model Breadcrumbs](https://arxiv.org/abs/2312.06795) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Qwen/Qwen2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B)
+* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
+* [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: Qwen/Qwen2.5-7B
+dtype: bfloat16
+merge_method: breadcrumbs
+parameters:
+  lambda: 0.9075603207928135
+  normalize: 1.0
+slices:
+- sources:
+  - layer_range: [0, 28]
+    model: Qwen/Qwen2.5-7B
+  - layer_range: [0, 28]
+    model: Qwen/Qwen2.5-Math-7B
+    parameters:
+      density: 0.11722197443445775
+      gamma: 0.07547691839721048
+      weight: 0.17267293536872041
+  - layer_range: [0, 28]
+    model: Qwen/Qwen2.5-Coder-7B
+    parameters:
+      density: 0.48352747334554935
+      gamma: 0.0753405327865558
+      weight: 0.11164770709858211
+  - layer_range: [0, 28]
+    model: Qwen/Qwen2.5-7B-Instruct
+    parameters:
+      density: 0.8190520808683315
+      gamma: 0.022307694128235696
+      weight: 0.7626295102691242
+```