Improve language tag

README.md

@@ -1,42 +1,55 @@
----
-base_model:
-- prithivMLmods/QwQ-LCoT-7B-Instruct
-- Qwen/Qwen2.5-7B-Instruct
-- prithivMLmods/QwQ-LCoT2-7B-Instruct
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# **QwQ-LCoT1-Merged**
-
-The QwQ-LCoT-7B-Instruct is a fine-tuned language model designed for advanced reasoning and instruction-following tasks. It leverages the Qwen2.5-7B base model and has been fine-tuned on the chain of thought reasoning datasets, focusing on chain-of-thought (CoT) reasoning for problems. This model is optimized for tasks requiring logical reasoning, detailed explanations, and multi-step problem-solving, making it ideal for applications such as instruction-following, text generation, and complex reasoning tasks.
-
-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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* [prithivMLmods/QwQ-LCoT-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct)
-* [prithivMLmods/QwQ-LCoT2-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT2-7B-Instruct)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: prithivMLmods/QwQ-LCoT2-7B-Instruct
-  - model: prithivMLmods/QwQ-LCoT-7B-Instruct
-merge_method: model_stock
-base_model: Qwen/Qwen2.5-7B-Instruct
-normalize: true
-int8_mask: true
-dtype: bfloat16
-
-```
+---
+base_model:
+- prithivMLmods/QwQ-LCoT-7B-Instruct
+- Qwen/Qwen2.5-7B-Instruct
+- prithivMLmods/QwQ-LCoT2-7B-Instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+# **QwQ-LCoT1-Merged**
+
+The QwQ-LCoT-7B-Instruct is a fine-tuned language model designed for advanced reasoning and instruction-following tasks. It leverages the Qwen2.5-7B base model and has been fine-tuned on the chain of thought reasoning datasets, focusing on chain-of-thought (CoT) reasoning for problems. This model is optimized for tasks requiring logical reasoning, detailed explanations, and multi-step problem-solving, making it ideal for applications such as instruction-following, text generation, and complex reasoning tasks.
+
+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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [prithivMLmods/QwQ-LCoT-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct)
+* [prithivMLmods/QwQ-LCoT2-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT2-7B-Instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: prithivMLmods/QwQ-LCoT2-7B-Instruct
+  - model: prithivMLmods/QwQ-LCoT-7B-Instruct
+merge_method: model_stock
+base_model: Qwen/Qwen2.5-7B-Instruct
+normalize: true
+int8_mask: true
+dtype: bfloat16
+
+```