Improve language tag

README.md

@@ -1,75 +1,88 @@
----
-base_model:
-- nvidia/AceMath-7B-Instruct
-- jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0
-- jeffmeloy/Qwen2.5-7B-olm-v1.0
-- Aashraf995/Qwen-Evo-7B
-- Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2
-- Qwen/Qwen2.5-7B-Instruct
-- Krystalan/DRT-o1-7B
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# 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 [SCE](https://arxiv.org/abs/2408.07990) 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:
-* [nvidia/AceMath-7B-Instruct](https://huggingface.co/nvidia/AceMath-7B-Instruct)
-* [jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0](https://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0)
-* [jeffmeloy/Qwen2.5-7B-olm-v1.0](https://huggingface.co/jeffmeloy/Qwen2.5-7B-olm-v1.0)
-* [Aashraf995/Qwen-Evo-7B](https://huggingface.co/Aashraf995/Qwen-Evo-7B)
-* [Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2)
-* [Krystalan/DRT-o1-7B](https://huggingface.co/Krystalan/DRT-o1-7B)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2  # Best for Benchmark 1 (emphasized)
-    parameters:
-      density: 0.2
-      weight: 0.25  # Increased weight for more influence
-  - model: Aashraf995/Qwen-Evo-7B  # Best for Benchmark 2
-    parameters:
-      density: 0.15
-      weight: 0.125
-  - model: nvidia/AceMath-7B-Instruct  # Best for Benchmark 3 (math focus)
-    parameters:
-      density: 0.2
-      weight: 0.25 # Increased weight for better math performance
-  - model: Krystalan/DRT-o1-7B  # Best for Benchmark 4
-    parameters:
-      density: 0.15
-      weight: 0.125
-  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0  # Best for Benchmark 5
-    parameters:
-      density: 0.15
-      weight: 0.125
-  - model: jeffmeloy/Qwen2.5-7B-olm-v1.0  # Best for Benchmark 6
-    parameters:
-      density: 0.15
-      weight: 0.125
-
-merge_method: sce
-base_model: Qwen/Qwen2.5-7B-Instruct  # Replace if using a different base model
-parameters:
-  normalize: false
-  int8_mask: true
-  select_topk: 0.314  # Retains 40% of high-variance elements for better performance in math and key areas
-dtype: bfloat16
-allow_crimes: true
-
-```
+---
+base_model:
+- nvidia/AceMath-7B-Instruct
+- jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0
+- jeffmeloy/Qwen2.5-7B-olm-v1.0
+- Aashraf995/Qwen-Evo-7B
+- Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2
+- Qwen/Qwen2.5-7B-Instruct
+- Krystalan/DRT-o1-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+# 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 [SCE](https://arxiv.org/abs/2408.07990) 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:
+* [nvidia/AceMath-7B-Instruct](https://huggingface.co/nvidia/AceMath-7B-Instruct)
+* [jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0](https://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0)
+* [jeffmeloy/Qwen2.5-7B-olm-v1.0](https://huggingface.co/jeffmeloy/Qwen2.5-7B-olm-v1.0)
+* [Aashraf995/Qwen-Evo-7B](https://huggingface.co/Aashraf995/Qwen-Evo-7B)
+* [Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2)
+* [Krystalan/DRT-o1-7B](https://huggingface.co/Krystalan/DRT-o1-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2  # Best for Benchmark 1 (emphasized)
+    parameters:
+      density: 0.2
+      weight: 0.25  # Increased weight for more influence
+  - model: Aashraf995/Qwen-Evo-7B  # Best for Benchmark 2
+    parameters:
+      density: 0.15
+      weight: 0.125
+  - model: nvidia/AceMath-7B-Instruct  # Best for Benchmark 3 (math focus)
+    parameters:
+      density: 0.2
+      weight: 0.25 # Increased weight for better math performance
+  - model: Krystalan/DRT-o1-7B  # Best for Benchmark 4
+    parameters:
+      density: 0.15
+      weight: 0.125
+  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0  # Best for Benchmark 5
+    parameters:
+      density: 0.15
+      weight: 0.125
+  - model: jeffmeloy/Qwen2.5-7B-olm-v1.0  # Best for Benchmark 6
+    parameters:
+      density: 0.15
+      weight: 0.125
+
+merge_method: sce
+base_model: Qwen/Qwen2.5-7B-Instruct  # Replace if using a different base model
+parameters:
+  normalize: false
+  int8_mask: true
+  select_topk: 0.314  # Retains 40% of high-variance elements for better performance in math and key areas
+dtype: bfloat16
+allow_crimes: true
+
+```