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.ipynb_checkpoints/README-checkpoint.md

@@ -14,51 +14,11 @@ tags:
 ---
 # Llamazing-3.1-8B-Instruct
 
+![img](./image.webp)
+
 ### Overview
 Llamazing-3.1-8B-Instruct is a state-of-the-art language model resulting from the thoughtful merging of six specialized models. It balances reasoning, creativity, and conversational capabilities to deliver exceptional performance across various applications.
 
-### Models Merged
-The following models contributed to the creation of Llamazing-3.1-8B-Instruct:
-
-1. [DreadPoor/Zelus-8B-Model_Stock](https://huggingface.co/DreadPoor/Zelus-8B-Model_Stock)
-2. [HumanLLMs/Human-Like-LLama3-8B-Instruct](https://huggingface.co/HumanLLMs/Human-Like-LLama3-8B-Instruct)
-3. [sethuiyer/Llamaverse-3.1-8B-Instruct](https://huggingface.co/sethuiyer/Llamaverse-3.1-8B-Instruct)
-4. [CultriX/Llama3-8B-DPO](https://huggingface.co/CultriX/Llama3-8B-DPO)
-5. [DevsDoCode/LLama-3-8b-Uncensored](https://huggingface.co/DevsDoCode/LLama-3-8b-Uncensored)
-6. [HiroseKoichi/Llama-3-8B-Stroganoff](https://huggingface.co/HiroseKoichi/Llama-3-8B-Stroganoff)
-
-### Configuration
-Below is the YAML configuration used for merging:
-
-```yaml
-base_model: sethuiyer/Llamaverse-3.1-8B-Instruct
-dtype: bfloat16
-merge_method: ties
-models:
-  - model: HumanLLMs/Human-Like-LLama3-8B-Instruct
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: DevsDoCode/LLama-3-8b-Uncensored
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: HiroseKoichi/Llama-3-8B-Stroganoff
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: DreadPoor/Zelus-8B-Model_Stock
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: CultriX/Llama3-8B-DPO
-    parameters:
-      density: [0.1, 0.3, 0.45, 0.3, 0.1]
-      weight: [0.15, 0.35, 0.6, 0.35, 0.15]
-parameters:
-  int8_mask: true
-```
-
 ### Usage
 The following Python code demonstrates how to use Llamazing-3.1-8B-Instruct with the Divine Intellect preset:
 

README.md

@@ -14,51 +14,11 @@ tags:
 ---
 # Llamazing-3.1-8B-Instruct
 
+![img](./image.webp)
+
 ### Overview
 Llamazing-3.1-8B-Instruct is a state-of-the-art language model resulting from the thoughtful merging of six specialized models. It balances reasoning, creativity, and conversational capabilities to deliver exceptional performance across various applications.
 
-### Models Merged
-The following models contributed to the creation of Llamazing-3.1-8B-Instruct:
-
-1. [DreadPoor/Zelus-8B-Model_Stock](https://huggingface.co/DreadPoor/Zelus-8B-Model_Stock)
-2. [HumanLLMs/Human-Like-LLama3-8B-Instruct](https://huggingface.co/HumanLLMs/Human-Like-LLama3-8B-Instruct)
-3. [sethuiyer/Llamaverse-3.1-8B-Instruct](https://huggingface.co/sethuiyer/Llamaverse-3.1-8B-Instruct)
-4. [CultriX/Llama3-8B-DPO](https://huggingface.co/CultriX/Llama3-8B-DPO)
-5. [DevsDoCode/LLama-3-8b-Uncensored](https://huggingface.co/DevsDoCode/LLama-3-8b-Uncensored)
-6. [HiroseKoichi/Llama-3-8B-Stroganoff](https://huggingface.co/HiroseKoichi/Llama-3-8B-Stroganoff)
-
-### Configuration
-Below is the YAML configuration used for merging:
-
-```yaml
-base_model: sethuiyer/Llamaverse-3.1-8B-Instruct
-dtype: bfloat16
-merge_method: ties
-models:
-  - model: HumanLLMs/Human-Like-LLama3-8B-Instruct
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: DevsDoCode/LLama-3-8b-Uncensored
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: HiroseKoichi/Llama-3-8B-Stroganoff
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: DreadPoor/Zelus-8B-Model_Stock
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: CultriX/Llama3-8B-DPO
-    parameters:
-      density: [0.1, 0.3, 0.45, 0.3, 0.1]
-      weight: [0.15, 0.35, 0.6, 0.35, 0.15]
-parameters:
-  int8_mask: true
-```
-
 ### Usage
 The following Python code demonstrates how to use Llamazing-3.1-8B-Instruct with the Divine Intellect preset:
 

mergekit_config.yml

@@ -1,27 +1,10 @@
 
 base_model: sethuiyer/Llamaverse-3.1-8B-Instruct
 dtype: bfloat16
-merge_method: ties
+merge_method: model_stock
 models:
-  - model: HumanLLMs/Human-Like-LLama3-8B-Instruct
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: DevsDoCode/LLama-3-8b-Uncensored
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: HiroseKoichi/Llama-3-8B-Stroganoff
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: DreadPoor/Zelus-8B-Model_Stock
-    parameters:
-      density: [0.05, 0.15, 0.2, 0.15, 0.05]
-      weight: [0.05, 0.1, 0.2, 0.1, 0.05]
-  - model: CultriX/Llama3-8B-DPO
-    parameters:
-      density: [0.1, 0.3, 0.45, 0.3, 0.1]
-      weight: [0.15, 0.35, 0.6, 0.35, 0.15]
+  - model: ./merge
+  - model: ./merge_2
+  - model: ./merge_3
 parameters:
   int8_mask: true

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