Update README.md

README.md

@@ -14,7 +14,7 @@ language:
 ## Model Information
 
 
-# Fireball-R1-LLama-3.1-8B
+# Fireball-R1.1-LLama-3.1-8B
 
 ![License](https://img.shields.io/badge/License-Apache%202.0-blue)  ![Version](https://img.shields.io/badge/Version-1.0.0-green)
 
@@ -57,8 +57,8 @@ pip install -U transformers
 
 from transformers import AutoTokenizer, AutoModelForCausalLM  
 
-tokenizer = AutoTokenizer.from_pretrained("EpistemeAI/Fireball-R1-Llama-3.1-8B")  
-model = AutoModelForCausalLM.from_pretrained("EpistemeAI/Fireball-R1-Llama-3.1-8B")  
+tokenizer = AutoTokenizer.from_pretrained("EpistemeAI/Fireball-R1.1-Llama-3.1-8B")  
+model = AutoModelForCausalLM.from_pretrained("EpistemeAI/Fireball-R1.1-Llama-3.1-8B")  
 
 prompt = "Calculate the molar mass of sulfuric acid (H₂SO₄)."  
 inputs = tokenizer(prompt, return_tensors="pt")  
@@ -71,7 +71,7 @@ import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 # Load the tokenizer
-tokenizer = AutoTokenizer.from_pretrained("EpistemeAI/Fireball-R1-Llama-3.1-8B")
+tokenizer = AutoTokenizer.from_pretrained("EpistemeAI/Fireball-R1.1-Llama-3.1-8B")
 
 # Load the model in 8-bit precision using bitsandbytes (requires a CUDA GPU)
 model = AutoModelForCausalLM.from_pretrained(