Update README.md

README.md

@@ -1,45 +1,40 @@
----
-base_model: []
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# Domain-Fusion-L3-8B
-
-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:
-* ./Hathor_Variant-X
-* ./T-900xBioLLM
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-slices:
-  - sources:
-      - model: ./Hathor_Variant-X
-        layer_range: [0, 32]
-      - model: ./T-900xBioLLM
-        layer_range: [0, 32]
-merge_method: slerp
-base_model: ./Hathor_Variant-X
-parameters:
-  t:
-    - filter: self_attn
-      value: [0, 0.5, 0.3, 0.7, 1]
-    - filter: mlp
-      value: [1, 0.5, 0.7, 0.3, 0]
-    - value: 0.5
-dtype: bfloat16
-```
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# Domain-Fusion-L3-8B
+
+(Meme model in testing)
+
+### Models Merged
+
+The following models were included in the merge:
+* ./Hathor_Variant-X
+* ./T-900xBioLLM
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: ./Hathor_Variant-X
+        layer_range: [0, 32]
+      - model: ./T-900xBioLLM
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ./Hathor_Variant-X
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```