Improve language tag

README.md

@@ -1,74 +1,86 @@
----
-base_model:
-- CultriX/SeQwence-14B
-- VAGOsolutions/SauerkrautLM-v2-14b-DPO
-- v000000/Qwen2.5-Lumen-14B
-- CultriX/Qwen2.5-14B-Wernicke
-- Qwen/Qwen2.5-14B
-- CultriX/Qwen2.5-14B-MegaMerge-pt2
-library_name: transformers
-tags:
-- mergekit
-- merge
-license: apache-2.0
-language:
-- en
-metrics:
-- accuracy
-pipeline_tag: text-generation
----
-# 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* [CultriX/SeQwence-14B](https://huggingface.co/CultriX/SeQwence-14B)
-* [VAGOsolutions/SauerkrautLM-v2-14b-DPO](https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-DPO)
-* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
-* [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)
-* [CultriX/Qwen2.5-14B-MegaMerge-pt2](https://huggingface.co/CultriX/Qwen2.5-14B-MegaMerge-pt2)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-
-models:
-  - model: CultriX/Qwen2.5-14B-Wernicke
-    parameters:
-      weight: 0.35      # Strong performance in GPQA, MUSR, and MMLU-PRO
-      density: 0.6      # Retain 60% of significant parameters
-  - model: VAGOsolutions/SauerkrautLM-v2-14b-DPO
-    parameters:
-      weight: 0.30      # Exceptional IFEval and MATH Level 5 capabilities
-      density: 0.6      # Retain 60% of significant parameters
-  - model: CultriX/Qwen2.5-14B-MegaMerge-pt2
-    parameters:
-      weight: 0.20      # Balanced contributions to Truthful QA and MMLU
-      density: 0.5      # Retain 50% of significant parameters
-  - model: CultriX/SeQwence-14B
-    parameters:
-      weight: 0.15      # Provides diverse data and generalization
-      density: 0.4      # Retain 40% of significant parameters
-  - model: v000000/Qwen2.5-Lumen-14B
-    parameters:
-      weight: 0.10      # Enhances creative and narrative tasks
-      density: 0.5      # Retain 50% for task diversity
-base_model: Qwen/Qwen2.5-14B
-merge_method: dare_ties
-parameters:
-  normalize: true       # Ensures parameter scaling compatibility
-  int8_mask: true       # Optimizes memory and computational efficiency
-dtype: bfloat16
-tokenizer_source: Qwen/Qwen2.5-14B-Instruct
-
-
+---
+base_model:
+- CultriX/SeQwence-14B
+- VAGOsolutions/SauerkrautLM-v2-14b-DPO
+- v000000/Qwen2.5-Lumen-14B
+- CultriX/Qwen2.5-14B-Wernicke
+- Qwen/Qwen2.5-14B
+- CultriX/Qwen2.5-14B-MegaMerge-pt2
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+metrics:
+- accuracy
+pipeline_tag: text-generation
+---
+# 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [CultriX/SeQwence-14B](https://huggingface.co/CultriX/SeQwence-14B)
+* [VAGOsolutions/SauerkrautLM-v2-14b-DPO](https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-DPO)
+* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
+* [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)
+* [CultriX/Qwen2.5-14B-MegaMerge-pt2](https://huggingface.co/CultriX/Qwen2.5-14B-MegaMerge-pt2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+models:
+  - model: CultriX/Qwen2.5-14B-Wernicke
+    parameters:
+      weight: 0.35      # Strong performance in GPQA, MUSR, and MMLU-PRO
+      density: 0.6      # Retain 60% of significant parameters
+  - model: VAGOsolutions/SauerkrautLM-v2-14b-DPO
+    parameters:
+      weight: 0.30      # Exceptional IFEval and MATH Level 5 capabilities
+      density: 0.6      # Retain 60% of significant parameters
+  - model: CultriX/Qwen2.5-14B-MegaMerge-pt2
+    parameters:
+      weight: 0.20      # Balanced contributions to Truthful QA and MMLU
+      density: 0.5      # Retain 50% of significant parameters
+  - model: CultriX/SeQwence-14B
+    parameters:
+      weight: 0.15      # Provides diverse data and generalization
+      density: 0.4      # Retain 40% of significant parameters
+  - model: v000000/Qwen2.5-Lumen-14B
+    parameters:
+      weight: 0.10      # Enhances creative and narrative tasks
+      density: 0.5      # Retain 50% for task diversity
+base_model: Qwen/Qwen2.5-14B
+merge_method: dare_ties
+parameters:
+  normalize: true       # Ensures parameter scaling compatibility
+  int8_mask: true       # Optimizes memory and computational efficiency
+dtype: bfloat16
+tokenizer_source: Qwen/Qwen2.5-14B-Instruct
+
+
 ```