Update README.md

README.md

@@ -36,8 +36,8 @@ Normalization:
 ## Creating Composite Model
 
 Layer Analysis:
-   - Download base and fine-tuned models from Hugging Face Hub # fetches models using Hugging Face API
-   - Calculate Normalized Effective Rank (NER) for each layer within each model # process each independently
+   - Download base and fine-tuned models from Hugging Face Hub 
+   - Calculate Normalized Effective Rank (NER) for each layer within each model 
 
 Layer Selection:
    - Identify common layer structures across models 
@@ -50,3 +50,35 @@ Output Generation:
    - Save merge reports documenting layer sources 
    - Copy config and tokenizer files from base model
    - Save the composite model with complete weights # model ready to use
+
+Configfile:
+
+base_model: "Qwen/Qwen2.5-7B"
+fine_tuned_models: # uncomment the models you want to merge
+#- "Qwen/Qwen2.5-7B"
+#- "Qwen/Qwen2.5-7B-Instruct"
+#- "FourOhFour/Vapor_v2_7B"
+#- "Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2"
+#- "happzy2633/qwen2.5-7b-ins-v3"
+#- "huihui-ai/Qwen2.5-7B-Instruct-abliterated-v2"
+#- "HumanLLMs/Humanish-Qwen2.5-7B-Instruct"
+#- "Orion-zhen/Qwen2.5-7B-Instruct-Uncensored"
+#- "Orion-zhen/Meissa-Qwen2.5-7B-Instruct"
+#- "jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0"
+#- "rombodawg/Rombos-LLM-V2.5-Qwen-7b"
+#- "Cran-May/T.E-8.1"
+#- "thomas-yanxin/XinYuan-Qwen2.5-7B-0917"
+#- "beomi/Qwen2.5-7B-Instruct-kowiki-qa"
+#- "Orion-zhen/Qwen2.5-7B-Gutenberg-KTO"
+#- 'fblgit/cybertron-v4-qw7B-MGS'
+#- 'nguyentd/FinancialAdvice-Qwen2.5-7B'
+#- "Qwen/Qwen2.5-Coder-7B-Instruct"
+#- "Qwen/Qwen2.5-Math-7B-Instruct" 
+#- "Qwen/Qwen2.5-Coder-7B"
+#- "Qwen/Qwen2.5-Math-7B"
+#- "WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B"
+#- "edgerunner-ai/EdgeRunner-Command-Nested"
+#- "katanemo/Arch-Function-7B"
+models_dir: "F:/input_models/"
+output_dir: "F:/merged_model/"
+metric_dir: "./metrics/"