Update README.md

README.md

@@ -1,85 +1,90 @@
----
-base_model: []
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# model
-Llama-3-70b-Arimas-story-RP-V1.6
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-## Merge Details
-I Greatly expanded the amount of models used in this merge, experimented a lot with different idea's.
-This version feels a lot more convincing than V1.5 Hopefully the long context window will also remain strong after Quants.
-Because of the many merges switched back from BFloat to Float.
-Tried breadcrums without the Ties, that went very poorly.
-
-### Merge Method
-
-This model was merged using the breadcrumbs_ties merge method using I:\Llama-3-70B-Instruct-Gradient-262k as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* \Smaug-Llama-3-70B-Instruct
-* \Meta-LLama-3-Cat-Smaug-LLama-70b
-* \Meta-LLama-3-Cat-A-LLama-70b
-* \Llama-3-70B-Synthia-v3.5
-* \Llama-3-70B-Instruct-Gradient-524k
-* \Llama-3-70B-Instruct-Gradient-262k
-* \Tess-2.0-Llama-3-70B-v0.2
-* \Llama-3-Lumimaid-70B-v0.1-alt
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: \Llama-3-70B-Instruct-Gradient-262k
-    parameters:
-      weight: 0.25
-      density: 0.90
-      gamma: 0.01
-  - model: \Meta-LLama-3-Cat-Smaug-LLama-70b
-    parameters:
-      weight: 0.28
-      density: 0.90
-      gamma: 0.01
-  - model: \Llama-3-Lumimaid-70B-v0.1-alt
-    parameters:
-      weight: 0.15
-      density: 0.90
-      gamma: 0.01
-  - model: \Tess-2.0-Llama-3-70B-v0.2
-    parameters:
-      weight: 0.06
-      density: 0.90
-      gamma: 0.01
-  - model: \Smaug-Llama-3-70B-Instruct
-    parameters:
-      weight: 0.04
-      density: 0.90
-      gamma: 0.01
-  - model: \Llama-3-70B-Synthia-v3.5
-    parameters:
-      weight: 0.05
-      density: 0.90
-      gamma: 0.01
-  - model: \Llama-3-70B-Instruct-Gradient-524k
-    parameters:
-      weight: 0.03
-      density: 0.90
-      gamma: 0.01
-  - model: \Meta-LLama-3-Cat-A-LLama-70b
-    parameters:
-      weight: 0.14
-      density: 0.90
-      gamma: 0.01
-merge_method: breadcrumbs_ties
-base_model: I:\Llama-3-70B-Instruct-Gradient-262k
-dtype: float16
-```
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+- llama 3
+- 70b
+- arimas
+- story
+- roleplay
+- rp
+---
+# model
+Llama-3-70b-Arimas-story-RP-V1.6
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+I Greatly expanded the amount of models used in this merge, experimented a lot with different idea's.
+This version feels a lot more convincing than V1.5 Hopefully the long context window will also remain strong after Quants.
+Because of the many merges switched back from BFloat to Float.
+Tried breadcrums without the Ties, that went very poorly.
+
+### Merge Method
+
+This model was merged using the breadcrumbs_ties merge method using I:\Llama-3-70B-Instruct-Gradient-262k as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* \Smaug-Llama-3-70B-Instruct
+* \Meta-LLama-3-Cat-Smaug-LLama-70b
+* \Meta-LLama-3-Cat-A-LLama-70b
+* \Llama-3-70B-Synthia-v3.5
+* \Llama-3-70B-Instruct-Gradient-524k
+* \Llama-3-70B-Instruct-Gradient-262k
+* \Tess-2.0-Llama-3-70B-v0.2
+* \Llama-3-Lumimaid-70B-v0.1-alt
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: \Llama-3-70B-Instruct-Gradient-262k
+    parameters:
+      weight: 0.25
+      density: 0.90
+      gamma: 0.01
+  - model: \Meta-LLama-3-Cat-Smaug-LLama-70b
+    parameters:
+      weight: 0.28
+      density: 0.90
+      gamma: 0.01
+  - model: \Llama-3-Lumimaid-70B-v0.1-alt
+    parameters:
+      weight: 0.15
+      density: 0.90
+      gamma: 0.01
+  - model: \Tess-2.0-Llama-3-70B-v0.2
+    parameters:
+      weight: 0.06
+      density: 0.90
+      gamma: 0.01
+  - model: \Smaug-Llama-3-70B-Instruct
+    parameters:
+      weight: 0.04
+      density: 0.90
+      gamma: 0.01
+  - model: \Llama-3-70B-Synthia-v3.5
+    parameters:
+      weight: 0.05
+      density: 0.90
+      gamma: 0.01
+  - model: \Llama-3-70B-Instruct-Gradient-524k
+    parameters:
+      weight: 0.03
+      density: 0.90
+      gamma: 0.01
+  - model: \Meta-LLama-3-Cat-A-LLama-70b
+    parameters:
+      weight: 0.14
+      density: 0.90
+      gamma: 0.01
+merge_method: breadcrumbs_ties
+base_model: I:\Llama-3-70B-Instruct-Gradient-262k
+dtype: float16
+```