Update README.md

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: togethercomputer/Llama-3-70b-chat-hf
+base_model:
+- meta-llama/Meta-Llama-3-70B-Instruct
 library_name: peft
 ---
 
@@ -9,7 +10,7 @@ MARTZAI is a LoRA fine-tuned adapter for **LLaMA 70B**, trained on Chris Martz's
 
 ## Model Details
 
-- **Base model:** [togethercomputer/Llama-3-70b-chat-hf](https://huggingface.co/togethercomputer/Llama-3-70b-chat-hf)
+- **Base model:** [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
 - **Method:** LoRA (Low-Rank Adaptation)
 - **Framework:** PEFT
 - **Language:** English
@@ -22,13 +23,13 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 
 # Load base model
-base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Llama-3-70b-chat-hf")
+base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-70B-Instruct")
 
 # Load LoRA adapter
 lora_model = PeftModel.from_pretrained(base_model, "your_hf_username/llama70b-lora-adapter")
 
 # Load tokenizer
-tokenizer = AutoTokenizer.from_pretrained("togethercomputer/Llama-3-70b-chat-hf")
+tokenizer = AutoTokenizer.from_pretrained("meta-llama/Meta-Llama-3-70B-Instruct")
 
 # Generate text
 input_text = "What are Chris Martz's views on inflation?"
@@ -40,5 +41,4 @@ print(tokenizer.decode(outputs[0]))
 Usage: Ideal for tasks requiring Chris Martz’s tone or expertise.
 Limitations: This adapter inherits biases and constraints from the base model.
 
-Developed by sw4geth. Contact via Hugging Face for questions or feedback.
-
+Developed by sw4geth. Contact via Hugging Face for questions or feedback.