Update README.md

README.md

@@ -1,96 +1,92 @@
----
-base_model:
-- TareksLab/M-MERGE1
-- TareksLab/M-BASE-SCE
-- TareksLab/M-MERGE3
-- TareksLab/M-MERGE2
-- TareksLab/M-MERGE4
-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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [TareksLab/M-BASE-SCE](https://huggingface.co/TareksLab/M-BASE-SCE) as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* [TareksLab/M-MERGE1](https://huggingface.co/TareksLab/M-MERGE1)
-* [TareksLab/M-MERGE3](https://huggingface.co/TareksLab/M-MERGE3)
-* [TareksLab/M-MERGE2](https://huggingface.co/TareksLab/M-MERGE2)
-* [TareksLab/M-MERGE4](https://huggingface.co/TareksLab/M-MERGE4)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: TareksLab/M-MERGE4
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.3, 0.1, 0.2]
-      - filter: mlp
-        value: [0.4, 0.2, 0.1]
-      - value: 0.2
-      density: 0.7
-      lambda: 1.05
-  - model: TareksLab/M-MERGE3
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.2, 0.1, 0.3]
-      - filter: mlp
-        value: [0.3, 0.1, 0.2]
-      - value: 0.2
-      density: 0.65
-      lambda: 1.05
-  - model: TareksLab/M-MERGE2
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.1, 0.3, 0.1]
-      - filter: mlp
-        value: [0.2, 0.3, 0.1]
-      - value: 0.2
-      density: 0.6
-      lambda: 1.05
-  - model: TareksLab/M-MERGE1
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.2, 0.2, 0.1]
-      - filter: mlp
-        value: [0.1, 0.2, 0.2]
-      - value: 0.2
-      density: 0.6
-      lambda: 1
-  - model: TareksLab/M-BASE-SCE
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.1, 0.3, 0.3]
-      - filter: mlp
-        value: [0.1, 0.2, 0.4]
-      - value: 0.2
-      density: 0.55
-      lambda: 1
-base_model: TareksLab/M-BASE-SCE
-merge_method: dare_ties
-parameters:
-  normalize: false
-  pad_to_multiple_of: 4
-tokenizer:
-  source: TareksLab/M-TOKENIZER-SCE
-chat_template: llama3
-dtype: bfloat16
-```
+---
+base_model_relation: quantized
+library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- TareksTesting/Legion-V1A-LLaMa-70B
+---
+# 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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [TareksLab/M-BASE-SCE](https://huggingface.co/TareksLab/M-BASE-SCE) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [TareksLab/M-MERGE1](https://huggingface.co/TareksLab/M-MERGE1)
+* [TareksLab/M-MERGE3](https://huggingface.co/TareksLab/M-MERGE3)
+* [TareksLab/M-MERGE2](https://huggingface.co/TareksLab/M-MERGE2)
+* [TareksLab/M-MERGE4](https://huggingface.co/TareksLab/M-MERGE4)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: TareksLab/M-MERGE4
+    parameters:
+      weight: 
+      - filter: self_attn
+        value: [0.3, 0.1, 0.2]
+      - filter: mlp
+        value: [0.4, 0.2, 0.1]
+      - value: 0.2
+      density: 0.7
+      lambda: 1.05
+  - model: TareksLab/M-MERGE3
+    parameters:
+      weight: 
+      - filter: self_attn
+        value: [0.2, 0.1, 0.3]
+      - filter: mlp
+        value: [0.3, 0.1, 0.2]
+      - value: 0.2
+      density: 0.65
+      lambda: 1.05
+  - model: TareksLab/M-MERGE2
+    parameters:
+      weight: 
+      - filter: self_attn
+        value: [0.1, 0.3, 0.1]
+      - filter: mlp
+        value: [0.2, 0.3, 0.1]
+      - value: 0.2
+      density: 0.6
+      lambda: 1.05
+  - model: TareksLab/M-MERGE1
+    parameters:
+      weight: 
+      - filter: self_attn
+        value: [0.2, 0.2, 0.1]
+      - filter: mlp
+        value: [0.1, 0.2, 0.2]
+      - value: 0.2
+      density: 0.6
+      lambda: 1
+  - model: TareksLab/M-BASE-SCE
+    parameters:
+      weight: 
+      - filter: self_attn
+        value: [0.1, 0.3, 0.3]
+      - filter: mlp
+        value: [0.1, 0.2, 0.4]
+      - value: 0.2
+      density: 0.55
+      lambda: 1
+base_model: TareksLab/M-BASE-SCE
+merge_method: dare_ties
+parameters:
+  normalize: false
+  pad_to_multiple_of: 4
+tokenizer:
+  source: TareksLab/M-TOKENIZER-SCE
+chat_template: llama3
+dtype: bfloat16
+```