Update README.md

update the model name.

README.md

@@ -14,7 +14,7 @@ datasets:
 license: apache-2.0
 ---
 
-# Model Card for super-cool-instruct
+# Model Card for codellama-7b-matplotlib-assistant
 
 This model is a fine-tuned version of `codellama/CodeLlama-7b-Instruct-hf` designed to enhance instruction-following capabilities. It was developed as part of a Master's thesis project.
 
@@ -22,7 +22,7 @@ This model is a fine-tuned version of `codellama/CodeLlama-7b-Instruct-hf` desig
 
 ### Model Description
 
-The `super-cool-instruct` model is a large language model fine-tuned using the QLoRA (4-bit Quantization + LoRA) technique. The goal of this model was to adapt the base CodeLlama model to better follow user instructions while maintaining its coding and reasoning capabilities.
+The `codellama-7b-matplotlib-assistant` model is a large language model fine-tuned using the QLoRA (4-bit Quantization + LoRA) technique. The goal of this model was to adapt the base CodeLlama model to better follow user instructions while maintaining its coding and reasoning capabilities.
 
 - **Developed by:** mingyue0101
 - **Model type:** Causal Language Model (Fine-tuned with PEFT/LoRA)
@@ -32,7 +32,7 @@ The `super-cool-instruct` model is a large language model fine-tuned using the Q
 
 ### Model Sources
 
-- **Repository:** https://huggingface.co/mingyue0101/super-cool-instruct
+- **Repository:** https://huggingface.co/mingyue0101/codellama-7b-matplotlib-assistant
 - **Dataset:** https://huggingface.co/datasets/mingyue0101/prompt_code_parquet
 
 ## Uses
@@ -63,7 +63,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
 from peft import PeftModel
 
 model_id = "codellama/CodeLlama-7b-Instruct-hf"
-peft_model_id = "mingyue0101/super-cool-instruct"
+peft_model_id = "mingyue0101/codellama-7b-matplotlib-assistant"
 
 # Load 4-bit configuration
 bnb_config = BitsAndBytesConfig(