fixed README

README.md

@@ -1,5 +1,7 @@
 ---
-license: apache-2.0
+license: other
+license_name: llama3
+license_link: LICENSE
 tags:
 - moe
 - frankenmoe
@@ -11,18 +13,11 @@ tags:
 base_model:
 - llama-3-sqrt-crocodile-v0.0A/sqrt-talker
 - llama-3-sqrt-crocodile-v0.0A/the-operator
-license: other
-license_name: llama3
-license_link: LICENSE
 ---
 
 # llama-3-sqrt-crocodile-v0.0A
 
-llama-3-sqrt-crocodile-v0.0A is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [llama-3-sqrt-crocodile-v0.0A/sqrt-talker](https://huggingface.co/llama-3-sqrt-crocodile-v0.0A/sqrt-talker)
-* [llama-3-sqrt-crocodile-v0.0A/the-operator](https://huggingface.co/llama-3-sqrt-crocodile-v0.0A/the-operator)
-
-## 🧩 Configuration
+## 🧩 Configuration-moe
 
 ```yaml
 base_model: llama-3-sqrt-crocodile-v0.0A/Uninstruct-Uncensored
@@ -38,7 +33,119 @@ experts:
       - "Good at structured tasks"
       - "Programmatic instruction following"
 ```
-
+## 🧩 Configuration-mega 
+```yaml
+models:
+  - model: Orenguteng/Lexi-Llama-3-8B-Uncensored
+    parameters:
+      weight: [0.2, 0.3, 0.4, 0.6]
+    layer_range: [0, 32]
+  - model: NousResearch/Meta-Llama-3-8B
+    parameters:
+      weight: [0.6, 0.2, 0.2, 0.1]
+    layer_range: [0, 32]
+  - model: NousResearch/Meta-Llama-3-8B-Instruct
+    parameters:
+      weight: [0.2, 0.3, 0.85, 0.3]
+    layer_range: [0, 32]
+merge_method: dare_linear
+base_model: NousResearch/Meta-Llama-3-8B-Instruct
+dtype: bfloat16
+name: Uninstruct-Uncensored
+---
+models:
+  - model: cognitivecomputations/dolphin-2.9-llama3-8b
+    parameters:
+      weight: [0.25, 0.4, 0.35, 0.35]
+      density: [0.3, 0.45, 0.2, 0.6]
+    layer_range: [0, 32]
+  - model: NousResearch/Meta-Llama-3-8B
+    parameters: 
+      weight: [0.15, 0.25, 0.05, 0]
+      density: [0.2, 0.3, 0.4, 0.1]
+  - model: Undi95/Llama-3-Unholy-8B
+    parameters:
+      weight: [0.4, 0.25, 0.45, 0.35]
+      density: [0.2, 0.15, 1.5, 0.1]
+    layer_range: [0, 32]
+  - model: Uninstruct-Uncensored
+    parameters:
+      weight: [0.3, 0.1, 0.25, 0.3]
+      density: [0.3, 0.15, 2.5, 0.2]
+    layer_range: [0, 32]
+merge_method: dare_ties
+base_model: Uninstruct-Uncensored
+dtype: bfloat16
+name: augmented-dolphin-hap
+---
+models:
+  - model: vicgalle/Configurable-Llama-3-8B-v0.3
+    parameters:
+      weight: [0.5, 0.3, 0.1]
+  - model: hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
+    parameters:
+      weight: 0.5
+  - model: Trelis/Meta-Llama-3-8B-Instruct-function-calling
+    parameters:
+      weight: 0.3
+    layer_range: [0, 32]
+  - model: Rookie/Llama-3-8B-Instruct-Chinese 
+    parameters:
+      weight: 0.2
+    layer_range: [0, 32]
+  - model: Uninstruct-Uncensored
+    parameters:
+      weight: [0.7, 0.4, 0.25, 0.1]
+    layer_range: [0, 32]
+merge_method: model_stock
+base_model: Uninstruct-Uncensored
+dtype: bfloat16
+name: the-operator
+---
+models:
+  - model: vicgalle/Configurable-Llama-3-8B-v0.3
+    parameters:
+      weight: 0.7
+  - model: hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
+    parameters:
+      weight: 0.1
+  - model: Trelis/Meta-Llama-3-8B-Instruct-function-calling
+    parameters:
+      weight: 0.03
+    layer_range: [0, 32]
+  - model: Rookie/Llama-3-8B-Instruct-Chinese
+    parameters:
+      weight: 0.07
+    layer_range: [0, 32]
+  - model: Uninstruct-Uncensored
+    parameters:
+      weight: 0.1
+    layer_range: [0, 32]
+merge_method: model_stock
+base_model: Uninstruct-Uncensored
+dtype: bfloat16
+name: her-calculator
+---
+models:
+  - model: her-calculator
+    parameters:
+      density: 0.7 # density gradient
+      weight: [0.7, 0.5, 0.1, 0.8]
+  - model: augmented-dolphin-hap
+    parameters:
+      weight: 0.7
+merge_method: slerp
+base_model: her-calculator
+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 # fallback for rest of tensors
+dtype: float16
+name: sqrt-talker
+``` 
 ## 💻 Usage
 
 ```python