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 +178 -164

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@@ -1,164 +1,178 @@
----
-library_name: transformers
-tags:
-- mergekit
-- merge
-base_model:
-- gz987/qwen2.5-7b-cabs-v0.3
-- ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
-- bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
-- Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
-- Qwen/Qwen2.5-7B-Instruct
-- bunnycore/Qwen-2.5-7b-s1k-lora_model
-- gz987/qwen2.5-7b-cabs-v0.3
-- bunnycore/Qwen-2.5-7b-rp-lora
-- Qwen/Qwen2.5-7B-Instruct
-- ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
-model-index:
-- name: Blabbertron-1.0
-  results:
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: IFEval (0-Shot)
-      type: HuggingFaceH4/ifeval
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: inst_level_strict_acc and prompt_level_strict_acc
-      value: 74.33
-      name: strict accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: BBH (3-Shot)
-      type: BBH
-      args:
-        num_few_shot: 3
-    metrics:
-    - type: acc_norm
-      value: 36.05
-      name: normalized accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MATH Lvl 5 (4-Shot)
-      type: hendrycks/competition_math
-      args:
-        num_few_shot: 4
-    metrics:
-    - type: exact_match
-      value: 49.24
-      name: exact match
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: GPQA (0-shot)
-      type: Idavidrein/gpqa
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: acc_norm
-      value: 6.94
-      name: acc_norm
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MuSR (0-shot)
-      type: TAUR-Lab/MuSR
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: acc_norm
-      value: 13.51
-      name: acc_norm
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MMLU-PRO (5-shot)
-      type: TIGER-Lab/MMLU-Pro
-      config: main
-      split: test
-      args:
-        num_few_shot: 5
-    metrics:
-    - type: acc
-      value: 37.27
-      name: accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
-      name: Open LLM Leaderboard
----
-# 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) + [ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3](https://huggingface.co/ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3) as a base.
-### Models Merged
-The following models were included in the merge:
-* [gz987/qwen2.5-7b-cabs-v0.3](https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3) + [ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3](https://huggingface.co/ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3)
-* [bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1](https://huggingface.co/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1)
-* [Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview](https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview)
-* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) + [bunnycore/Qwen-2.5-7b-s1k-lora_model](https://huggingface.co/bunnycore/Qwen-2.5-7b-s1k-lora_model)
-* [gz987/qwen2.5-7b-cabs-v0.3](https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3) + [bunnycore/Qwen-2.5-7b-rp-lora](https://huggingface.co/bunnycore/Qwen-2.5-7b-rp-lora)
-### Configuration
-The following YAML configuration was used to produce this model:
-```yaml
-models:
-  - model: Qwen/Qwen2.5-7B-Instruct+bunnycore/Qwen-2.5-7b-s1k-lora_model
-    parameters:
-      weight: 0.3
-  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
-  - model: bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
-  - model: gz987/qwen2.5-7b-cabs-v0.3+ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
-  - model: gz987/qwen2.5-7b-cabs-v0.3+bunnycore/Qwen-2.5-7b-rp-lora
-base_model: Qwen/Qwen2.5-7B-Instruct+ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
-merge_method: model_stock
-parameters:
-dtype: bfloat16
-tokenizer_source: Qwen/Qwen2.5-7B-Instruct
-```
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
-Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__Blabbertron-1.0-details)
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |36.22|
-|IFEval (0-Shot)    |74.33|
-|BBH (3-Shot)       |36.05|
-|MATH Lvl 5 (4-Shot)|49.24|
-|GPQA (0-shot)      | 6.94|
-|MuSR (0-shot)      |13.51|
-|MMLU-PRO (5-shot)  |37.27|

+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- gz987/qwen2.5-7b-cabs-v0.3
+- ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
+- bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
+- Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
+- Qwen/Qwen2.5-7B-Instruct
+- bunnycore/Qwen-2.5-7b-s1k-lora_model
+- gz987/qwen2.5-7b-cabs-v0.3
+- bunnycore/Qwen-2.5-7b-rp-lora
+- Qwen/Qwen2.5-7B-Instruct
+- ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: Blabbertron-1.0
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 74.33
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 36.05
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 49.24
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 6.94
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 13.51
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 37.27
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
+      name: Open LLM Leaderboard
+---
+# 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) + [ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3](https://huggingface.co/ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3) as a base.
+### Models Merged
+The following models were included in the merge:
+* [gz987/qwen2.5-7b-cabs-v0.3](https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3) + [ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3](https://huggingface.co/ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3)
+* [bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1](https://huggingface.co/bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1)
+* [Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview](https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview)
+* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) + [bunnycore/Qwen-2.5-7b-s1k-lora_model](https://huggingface.co/bunnycore/Qwen-2.5-7b-s1k-lora_model)
+* [gz987/qwen2.5-7b-cabs-v0.3](https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3) + [bunnycore/Qwen-2.5-7b-rp-lora](https://huggingface.co/bunnycore/Qwen-2.5-7b-rp-lora)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+models:
+  - model: Qwen/Qwen2.5-7B-Instruct+bunnycore/Qwen-2.5-7b-s1k-lora_model
+    parameters:
+      weight: 0.3
+  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
+  - model: bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
+  - model: gz987/qwen2.5-7b-cabs-v0.3+ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
+  - model: gz987/qwen2.5-7b-cabs-v0.3+bunnycore/Qwen-2.5-7b-rp-lora
+base_model: Qwen/Qwen2.5-7B-Instruct+ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
+merge_method: model_stock
+parameters:
+dtype: bfloat16
+tokenizer_source: Qwen/Qwen2.5-7B-Instruct
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/bunnycore__Blabbertron-1.0-details)
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |36.22|
+|IFEval (0-Shot)    |74.33|
+|BBH (3-Shot)       |36.05|
+|MATH Lvl 5 (4-Shot)|49.24|
+|GPQA (0-shot)      | 6.94|
+|MuSR (0-shot)      |13.51|
+|MMLU-PRO (5-shot)  |37.27|