Update README.md

README.md

@@ -95,7 +95,9 @@ Llama-3.1-Storm-8B is a powerful generalist model useful for diverse application
 4. 🚀 Ollama: `ollama run ajindal/llama3.1-storm:8b`
 
 
-## 💻 How to Use the Model
+---
+
+## 💻 How to Use the Model of EpistemeAI2's FireStorm-Llama-3.1-8B
 The Hugging Face `transformers` library loads the model in `bfloat16` by default. This is the type used by the [Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B) checkpoint, so it’s the recommended way to run to ensure the best results.
 
 ### Installation
@@ -160,7 +162,7 @@ print(response)  # Expected Output: '2 + 2 = 4'
 ```python
 from vllm import LLM, SamplingParams
 from transformers import AutoTokenizer
-model_id = "akjindal53244/Llama-3.1-Storm-8B"  # FP8 model: "EpistemeAI2/FireStorm-Llama-3.1-8B"
+model_id = "EpistemeAI2/FireStorm-Llama-3.1-8B"  # FP8 model: "EpistemeAI2/FireStorm-Llama-3.1-8B"
 num_gpus = 1
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 llm = LLM(model=model_id, tensor_parallel_size=num_gpus)