Improve language tag

README.md

@@ -1,70 +1,70 @@
----
-base_model:
-- Qwen/Qwen2.5-Math-7B
-- Qwen/Qwen2.5-7B-Instruct
-- Qwen/Qwen2.5-7B
-library_name: transformers
-tags:
-- mergekit
-- merge
-language:
-- zho
-- eng
-- fra
-- spa
-- por
-- deu
-- ita
-- rus
-- jpn
-- kor
-- vie
-- tha
-- ara
----
-# Qwen2.5-7B-Instruct-Math-task-arithmetic
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-## Performance
-|             Metric              |Value|
-|---------------------------------|----:|
-|GSM8k (zero-shot)                |91.35|
-|HellaSwag (zero-Shot)            |80.01|
-|MBPP (zero-shot)                 |61.01|
-
-## Merge Details
-### Merge Method
-
-This model was merged using the [Task Arithmetic](https://arxiv.org/abs/2212.04089) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
-* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-base_model: Qwen/Qwen2.5-7B
-dtype: bfloat16
-merge_method: task_arithmetic
-parameters:
-  lambda: 0.7870041304118442
-  normalize: 1.0
-slices:
-- sources:
-  - layer_range: [0, 28]
-    model: Qwen/Qwen2.5-7B
-  - layer_range: [0, 28]
-    model: Qwen/Qwen2.5-Math-7B
-    parameters:
-      weight: 0.11841208483160265
-  - layer_range: [0, 28]
-    model: Qwen/Qwen2.5-7B-Instruct
-    parameters:
-      weight: 0.7783861791140264
-```
+---
+base_model:
+- Qwen/Qwen2.5-Math-7B
+- Qwen/Qwen2.5-7B-Instruct
+- Qwen/Qwen2.5-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+# Qwen2.5-7B-Instruct-Math-task-arithmetic
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Performance
+|             Metric              |Value|
+|---------------------------------|----:|
+|GSM8k (zero-shot)                |91.35|
+|HellaSwag (zero-Shot)            |80.01|
+|MBPP (zero-shot)                 |61.01|
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [Task Arithmetic](https://arxiv.org/abs/2212.04089) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
+* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: Qwen/Qwen2.5-7B
+dtype: bfloat16
+merge_method: task_arithmetic
+parameters:
+  lambda: 0.7870041304118442
+  normalize: 1.0
+slices:
+- sources:
+  - layer_range: [0, 28]
+    model: Qwen/Qwen2.5-7B
+  - layer_range: [0, 28]
+    model: Qwen/Qwen2.5-Math-7B
+    parameters:
+      weight: 0.11841208483160265
+  - layer_range: [0, 28]
+    model: Qwen/Qwen2.5-7B-Instruct
+    parameters:
+      weight: 0.7783861791140264
+```