Update README.md

README.md

@@ -34,12 +34,15 @@ language:
 - ru
 
 ---
-# ✨ DarkAtom-12B-v3 ✨
+# DarkAtom-12B-v3
+*Something that shouldn't exist*
 
 ![DarkAtomLogo256.png](https://cdn-uploads.huggingface.co/production/uploads/673125091920e70ac26c8a2e/mPixgwI3P4oONLCKATqmd.png)
 
 This is an interesting merge of **18 cool models**, created using [mergekit](https://github.com/arcee-ai/mergekit).
 
+It took quite a bit of my time, mostly due to the limitations of my old hardware, but I think it was definitely worth it.
+
 My thanks to the authors of the original models, your work is incredible.
 
 Enjoy exploring :)
@@ -73,22 +76,108 @@ The following models were included in the merge:
 
 ### Configuration
 
-The following final YAML configuration was used to produce this model:
+The following YAML configurations was used to produce this model. Some parameters may have diffirent pattern, but its not important to understand my workflow.
+
 
+Generation_1 from 18 original models:
 ```yaml
 models:
+  - model: Original_Model_M
+  - model: Original_Model_K
+merge_method: slerp
+base_model: Original_Model_M
+dtype: bfloat16
+parameters:
+  t: [0.1, 0.9, 0.1, 0.9, 0.1, 0.9, 0.1, 0.9, 0.1, 0.9, 0.1, 0.9]
+
+```
+
 
-  - model: F:/DarkAtom-12B-v1
+Variant_N from Generation_1 and AlphaMerge:
+```yaml
+models:
+  
+  - model: SecretModel_A
     parameters:
       density: [0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1]
       weight:  [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
 
-  - model: F:/AbominationScience
+  - model: SecretModel_B
     parameters:
       density: [0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2]
       weight:  [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8]
 
+  - model: SecretModel_C
+    parameters:
+      density: [0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3]
+      weight:  [0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7]
+
+  - model: SecretModel_D
+    parameters:
+      density: [0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4]
+      weight:  [0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6]
+
+  - model: SecretModel_E
+    parameters:
+      density: [0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5]
+      weight:  [0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5]
+
+  - model: SecretModel_F
+    parameters:
+      density: [0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]
+      weight:  [0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4]
+
+  - model: SecretModel_G
+    parameters:
+      density: [0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7]
+      weight:  [0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3]
+
+  - model: SecretModel_H
+    parameters:
+      density: [0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]
+      weight:  [0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2]
+
+  - model: SecretModel_I
+    parameters:
+      density: [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
+      weight:  [0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1]
+
 merge_method: ties
-base_model: F:/DarkAtom-12B-v2
+base_model: AlphaMerge
 dtype: bfloat16
 ```
+
+Model stock merge for create:
++ Generation_2 from SecretModels
++ Variant_M from Generation_2
++ AlphaMerge from intuitively selected and forgotten models
+```yaml
+models:
+  - model: SecretModel_A
+  - model: SecretModel_B
+  - model: SecretModel_C
+merge_method: model_stock
+base_model: SecretModel_A
+dtype: bfloat16
+```
+
+Final Variant from Variant_N, Variant_M, and one good model from Generation_1:
+```yaml
+models:
+
+  - model: Variant_N
+    parameters:
+      density: [0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1]
+      weight:  [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
+
+  - model: Good_G1_Model
+    parameters:
+      density: [0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2]
+      weight:  [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.8]
+
+merge_method: ties
+base_model: Variant_M
+dtype: bfloat16
+```
+
+Have a good time 🖤