Update README.md

README.md

@@ -17,54 +17,108 @@ This is a merge of pre-trained language models created using [mergekit](https://
 
 This model was merged using the della_linear merge method using [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) as a base.
 
-### Models Merged
-
-The following models were included in the merge:
-* Insanity/chatml
-* Insanity/uncen
-* [v000000/NM-12B-Lyris-dev-3](https://huggingface.co/v000000/NM-12B-Lyris-dev-3)
-* Insanity/conv
-
 ### Configuration
 
 The following YAML configuration was used to produce this model:
 
 ```yaml
-base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+models:
+  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated
+  - model: Fizzarolli/MN-12b-Sunrose
+    parameters:
+      density: 0.5
+      weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
+  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
+    parameters:
+      density: [0.35, 0.65, 0.5, 0.65, 0.35]
+      weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
+merge_method: dare_ties
+base_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
+parameters:
+  normalize: false
+  int8_mask: true
 dtype: bfloat16
-merge_method: della_linear
+name: uncen
+
+---
+models:
+  - model: unsloth/Mistral-Nemo-Instruct-2407
+  - model: NeverSleep/Lumimaid-v0.2-12B
+    parameters:
+      density: 0.5
+      weight: [0.139, 0.208, 0.139, 0.208, 0.139]
+  - model: nbeerbower/mistral-nemo-cc-12B
+    parameters:
+      density: [0.65, 0.35, 0.5, 0.35, 0.65]
+      weight: [0.01823, -0.01647, 0.01422, -0.01975, 0.01128]
+  - model: nbeerbower/mistral-nemo-bophades-12B
+    parameters:
+      density: [0.35, 0.65, 0.5, 0.65, 0.35]
+      weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
+merge_method: della
+base_model: unsloth/Mistral-Nemo-Instruct-2407
 parameters:
   epsilon: 0.04
-  int8_mask: 1.0
   lambda: 1.05
-  normalize: 0.0
-  rescale: 1.0
-slices:
-- sources:
-  - layer_range: [0, 40]
-    model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+  normalize: false
+  int8_mask: true
+dtype: bfloat16
+name: conv
+---
+models:
+  - model: unsloth/Mistral-Nemo-Base-2407
+  - model: elinas/Chronos-Gold-12B-1.0
+    parameters:
+      density: 0.9
+      gamma: 0.01
+      weight: [0.139, 0.208, 0.208, 0.139, 0.139]
+  - model: shuttleai/shuttle-2.5-mini
+    parameters:
+      density: 0.9
+      gamma: 0.01
+      weight: [0.208, 0.139, 0.139, 0.139, 0.208]
+  - model: Epiculous/Violet_Twilight-v0.2
+    parameters:
+      density: 0.9
+      gamma: 0.01
+      weight: [0.139, 0.139, 0.208, 0.208, 0.139]
+merge_method: breadcrumbs_ties
+base_model: unsloth/Mistral-Nemo-Base-2407
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: bfloat16
+name: chatml
+---
+models:
+  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
     parameters:
-      density: [0.45, 0.55, 0.45, 0.55, 0.45]
       weight: [0.2, 0.3, 0.2, 0.3, 0.2]
-  - layer_range: [0, 40]
-    model: Insanity/chatml
+      density: [0.45, 0.55, 0.45, 0.55, 0.45]
+  - model: chatml
     parameters:
-      density: [0.6, 0.4, 0.5, 0.4, 0.6]
       weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
-  - layer_range: [0, 40]
-    model: Insanity/uncen
+      density: [0.6, 0.4, 0.5, 0.4, 0.6]
+  - model: uncen
     parameters:
       density: [0.6, 0.4, 0.5, 0.4, 0.6]
       weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
-  - layer_range: [0, 40]
-    model: Insanity/conv
+  - model: conv
     parameters:
-      density: [0.7]
       weight: [0.208, 0.139, 0.139, 0.139, 0.208]
-  - layer_range: [0, 40]
-    model: v000000/NM-12B-Lyris-dev-3
+      density: [0.7]
+  - model: v000000/NM-12B-Lyris-dev-3
     parameters:
-      density: [0.45, 0.55, 0.45, 0.55, 0.45]
       weight: [0.33]
+      density: [0.45, 0.55, 0.45, 0.55, 0.45]
+merge_method: della_linear
+base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
+parameters:
+  epsilon: 0.04
+  lambda: 1.05
+  int8_mask: true
+  rescale: true
+  normalize: false
+dtype: bfloat16
 tokenizer_source: base
 ```