Improve language tag

README.md

@@ -1,48 +1,62 @@
----
-base_model:
-- Qwen/Qwen2.5-1.5B
-- Qwen/Qwen2.5-1.5B-Instruct
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-library_name: transformers
-tags:
-- mergekit
-- merge
----
-
-# **Qwen2.5-1.5B-DeepSeek-R1-Instruct**
-
-This model is a merged pre-trained language model created using MergeKit with the TIES merge method. It uses **Qwen/Qwen2.5-1.5B-Instruct** as the base and combines **Qwen/Qwen2.5-1.5B** and **deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B** with equal weight and density. The merge configuration includes normalization, int8 masking, and `bfloat16` precision for optimized performance.
-# **Merge**
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-# **Merge Method**
-
-This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) as a base.
-
-# **Models Merged**
-
-The following models were included in the merge:
-* [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B)
-* [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
-
-# **Configuration**
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-  - model: Qwen/Qwen2.5-1.5B
-    parameters:
-      weight: 1
-      density: 1
-merge_method: ties
-base_model: Qwen/Qwen2.5-1.5B-Instruct
-parameters:
-  weight: 1
-  density: 1
-  normalize: true
-  int8_mask: true
-dtype: bfloat16
-```
+---
+base_model:
+- Qwen/Qwen2.5-1.5B
+- Qwen/Qwen2.5-1.5B-Instruct
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+library_name: transformers
+tags:
+- mergekit
+- merge
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# **Qwen2.5-1.5B-DeepSeek-R1-Instruct**
+
+This model is a merged pre-trained language model created using MergeKit with the TIES merge method. It uses **Qwen/Qwen2.5-1.5B-Instruct** as the base and combines **Qwen/Qwen2.5-1.5B** and **deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B** with equal weight and density. The merge configuration includes normalization, int8 masking, and `bfloat16` precision for optimized performance.
+# **Merge**
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+# **Merge Method**
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) as a base.
+
+# **Models Merged**
+
+The following models were included in the merge:
+* [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B)
+* [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
+
+# **Configuration**
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+  - model: Qwen/Qwen2.5-1.5B
+    parameters:
+      weight: 1
+      density: 1
+merge_method: ties
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+parameters:
+  weight: 1
+  density: 1
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+```