Update README.md

README.md

@@ -17,14 +17,14 @@ pipeline_tag: text-generation
 library_name: transformers
 ---
 
-# ZeroXClem/L3.1-Aspire-Heart-Matrix-8B
+# ZeroXClem/L3-Aspire-Heart-Matrix-8B
 
-**ZeroXClem/L3.1-Aspire-Heart-Matrix-8B** is an experimental language model crafted by merging three high-quality 8B parameter models using the **Model Stock Merge** method. This synthesis leverages the unique strengths of Aspire, Heart Stolen, and CursedMatrix, creating a highly versatile and robust language model for a wide array of tasks.
+**ZeroXClem/L3-Aspire-Heart-Matrix-8B** is an experimental language model crafted by merging three high-quality 8B parameter models using the **Model Stock Merge** method. This synthesis leverages the unique strengths of Aspire, Heart Stolen, and CursedMatrix, creating a highly versatile and robust language model for a wide array of tasks.
 
 
 ## 🌟 Model Details
 
-- **Name:** `ZeroXClem/L3.1-Aspire-Heart-Matrix-8B`
+- **Name:** `ZeroXClem/L3-Aspire-Heart-Matrix-8B`
 - **Base Model:** `Khetterman/CursedMatrix-8B-v9`
 - **Merge Method:** `Model Stock`
 - **Parameter Count:** `8 billion`
@@ -94,7 +94,7 @@ This model is compatible with popular inference frameworks, including:
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-model_name = "ZeroXClem/Qwen2.5-7B-Qandora-CySec"
+model_name = "ZeroXClem/L3-Aspire-Heart-Matrix-8B"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)