Update README.md

README.md

@@ -2,46 +2,14 @@
 base_model:
 - ChaoticNeutrals/T-900-8B
 - ResplendentAI/Nymph_8B
-library_name: transformers
-tags:
-- mergekit
-- merge
-
+license: apache-2.0
+language:
+- en
 ---
-# 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 SLERP merge method.
-
-### Models Merged
-
-The following models were included in the merge:
-* [ChaoticNeutrals/T-900-8B](https://huggingface.co/ChaoticNeutrals/T-900-8B)
-* [ResplendentAI/Nymph_8B](https://huggingface.co/ResplendentAI/Nymph_8B)
+# Templar v1
 
-### Configuration
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/-VhI9L4SJFQsM1cQX78DW.png)
 
-The following YAML configuration was used to produce this model:
+A SLERP merge of T-900 and Nymph, Templar shows some emergent properties that I was not expecting to see. 
 
-```yaml
-slices:
-  - sources:
-    - model: ChaoticNeutrals/T-900-8B
-      layer_range: [0,32]
-    - model: ResplendentAI/Nymph_8B
-      layer_range: [0,32]
-merge_method: slerp
-base_model: ChaoticNeutrals/T-900-8B
-parameters:
-  t:
-    - filter: self_attn
-      value: [0, 0.3, 0.5, 0.7, 1]
-    - filter: mlp
-      value: [1, 0.7, 0.5, 0.3, 0]
-    - value: 0.4
-dtype: bfloat16
-```
+This model is purpose made for roleplaying, and has seen a plethora of data. I assure you that it will serve that purpose very well.