Update README.md

README.md

@@ -1,57 +1,57 @@
----
-base_model:
-- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
-- rombodawg/Rombos-LLM-V2.5-Qwen-32b
-- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
-- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
-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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [rombodawg/Rombos-LLM-V2.5-Qwen-32b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-32b) as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* [nbeerbower/Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B)
-* [ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3)
-* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
-parameters:
-  int8_mask: true
-  rescale: false
-  normalize: true
-  lambda: 1.04
-  epsilon: 0.05
-dtype: bfloat16
-tokenizer_source: union
-merge_method: della
-models:
-  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
-    parameters:
-      weight: [0.40]
-      density: [0.53]
-  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
-    parameters:
-      weight: [0.30]
-      density: [0.53]   
-  - model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
-    parameters:
-      weight: [0.40]
-      density: [0.53]  
-```
+---
+base_model:
+- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
+- rombodawg/Rombos-LLM-V2.5-Qwen-32b
+- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
+- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# 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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [rombodawg/Rombos-LLM-V2.5-Qwen-32b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-32b) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [nbeerbower/Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B)
+* [ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3)
+* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
+parameters:
+  int8_mask: true
+  rescale: false
+  normalize: true
+  lambda: 1.04
+  epsilon: 0.05
+dtype: bfloat16
+tokenizer_source: union
+merge_method: della
+models:
+  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
+    parameters:
+      weight: [0.40]
+      density: [0.53]
+  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
+    parameters:
+      weight: [0.30]
+      density: [0.53]   
+  - model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
+    parameters:
+      weight: [0.40]
+      density: [0.53]  
+```