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.

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README.md +89 -78

README.md CHANGED Viewed

@@ -1,79 +1,90 @@
----
-base_model:
-- SicariusSicariiStuff/Impish_QWEN_14B-1M
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
-- Qwen/Qwen2.5-14B-Instruct-1M
-- Zhihu-ai/Zhi-writing-dsr1-14b
-- huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
-- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
-- Qwen/Qwen2.5-14B-Instruct
-- mergekit-community/Qwen2.5-14B-della-code
-- tanliboy/lambda-qwen2.5-14b-dpo-test
-library_name: transformers
-tags:
-- mergekit
-- merge
-license: apache-2.0
-language:
-- en
-- zh
-pipeline_tag: text-generation
----
-*From the preliminary test results, the effect is really excellent!!!*
-This is definitely a very promising method for model merging!
-The current optimal formula ratio is: instruction: reasoning: code = 6:2:1
-# merge
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-## Merge Details
-### Merge Method
-This model was merged using the [Karcher Mean](https://en.wikipedia.org/wiki/Karcher_mean) merge method using [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) as a base.
-### Models Merged
-The following models were included in the merge:
-**instruction:**(6)
-* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
-* [Qwen/Qwen2.5-14B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M)
-* [huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated)
-* [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)
-* [SicariusSicariiStuff/Impish_QWEN_14B-1M](https://huggingface.co/SicariusSicariiStuff/Impish_QWEN_14B-1M)
-* [tanliboy/lambda-qwen2.5-14b-dpo-test](https://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test)
-**reasoning:**(2)
-* [Zhihu-ai/Zhi-writing-dsr1-14b](https://huggingface.co/Zhihu-ai/Zhi-writing-dsr1-14b)
-* [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B)
- **code:**(1)
-* [mergekit-community/Qwen2.5-14B-della-code](https://huggingface.co/mergekit-community/Qwen2.5-14B-della-code)
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-models:
-  - model: mergekit-community/Qwen2.5-14B-della-code
-  - model: Zhihu-ai/Zhi-writing-dsr1-14b
-  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
-  - model: huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
-  - model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
-  - model: Qwen/Qwen2.5-14B-Instruct-1M
-  - model: SicariusSicariiStuff/Impish_QWEN_14B-1M
-  - model: tanliboy/lambda-qwen2.5-14b-dpo-test
-  - model: Qwen/Qwen2.5-14B-Instruct
-merge_method: karcher
-base_model: Qwen/Qwen2.5-14B-Instruct
-parameters:
-  max_iter: 1000
-normalize: true
-int8_mask: true
-tokenizer_source: base
-dtype: float16
 ```

+---
+base_model:
+- SicariusSicariiStuff/Impish_QWEN_14B-1M
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+- Qwen/Qwen2.5-14B-Instruct-1M
+- Zhihu-ai/Zhi-writing-dsr1-14b
+- huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
+- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
+- Qwen/Qwen2.5-14B-Instruct
+- mergekit-community/Qwen2.5-14B-della-code
+- tanliboy/lambda-qwen2.5-14b-dpo-test
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+pipeline_tag: text-generation
+---
+*From the preliminary test results, the effect is really excellent!!!*
+This is definitely a very promising method for model merging!
+The current optimal formula ratio is: instruction: reasoning: code = 6:2:1
+# merge
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+## Merge Details
+### Merge Method
+This model was merged using the [Karcher Mean](https://en.wikipedia.org/wiki/Karcher_mean) merge method using [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) as a base.
+### Models Merged
+The following models were included in the merge:
+**instruction:**(6)
+* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
+* [Qwen/Qwen2.5-14B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M)
+* [huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated)
+* [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)
+* [SicariusSicariiStuff/Impish_QWEN_14B-1M](https://huggingface.co/SicariusSicariiStuff/Impish_QWEN_14B-1M)
+* [tanliboy/lambda-qwen2.5-14b-dpo-test](https://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test)
+**reasoning:**(2)
+* [Zhihu-ai/Zhi-writing-dsr1-14b](https://huggingface.co/Zhihu-ai/Zhi-writing-dsr1-14b)
+* [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B)
+ **code:**(1)
+* [mergekit-community/Qwen2.5-14B-della-code](https://huggingface.co/mergekit-community/Qwen2.5-14B-della-code)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+models:
+  - model: mergekit-community/Qwen2.5-14B-della-code
+  - model: Zhihu-ai/Zhi-writing-dsr1-14b
+  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+  - model: huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
+  - model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
+  - model: Qwen/Qwen2.5-14B-Instruct-1M
+  - model: SicariusSicariiStuff/Impish_QWEN_14B-1M
+  - model: tanliboy/lambda-qwen2.5-14b-dpo-test
+  - model: Qwen/Qwen2.5-14B-Instruct
+merge_method: karcher
+base_model: Qwen/Qwen2.5-14B-Instruct
+parameters:
+  max_iter: 1000
+normalize: true
+int8_mask: true
+tokenizer_source: base
+dtype: float16
 ```