Update README.md

README.md

@@ -1,10 +1,10 @@
 ---
-license: cc-by-nc-nd-3.0
+license: llama3
 ---
-# SFR-Iterative-DPO-Llama-3-8B-R
+# Llama-3-8B-SFR-Iterative-DPO-R
 
 ## Introduction
-We release a state-of-the-art instruct model of its class, **SFR-Iterative-DPO-LLaMA-3-8B-R**.
+We release a state-of-the-art instruct model of its class, **Llama-3-8B-SFR-Iterative-DPO-R**.
 On all three widely-used instruct model benchmarks: **Alpaca-Eval-V2**, **MT-Bench**, **Chat-Arena-Hard**, our model outperforms all models of similar size (e.g., LLaMA-3-8B-it), most large open-sourced models (e.g., Mixtral-8x7B-it),
 and strong proprietary models (e.g., GPT-3.5-turbo-0613). The model is trained with open-sourced datasets without any additional human-/GPT4-labeling.
 
@@ -66,8 +66,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 
 device = "cuda" 
 
-model = AutoModelForCausalLM.from_pretrained("Salesforce/SFR-Iterative-DPO-LLaMA-3-8B-R")
-tokenizer = AutoTokenizer.from_pretrained("Salesforce/SFR-Iterative-DPO-LLaMA-3-8B-R")
+model = AutoModelForCausalLM.from_pretrained("Salesforce/Llama-3-8B-SFR-Iterative-DPO-R")
+tokenizer = AutoTokenizer.from_pretrained("Salesforce/Llama-3-8B-SFR-Iterative-DPO-R")
 
 messages = [
     {"role": "user", "content": "I'm trying to teach myself to have nicer handwriting. Can you help?"},
@@ -85,7 +85,7 @@ print(model_outputs[0])
 
 
 ## Limitations
-SFR-Iterative-DPO-LLaMA-3-8B-R is a research model developed as part of our RLHF initiative at Salesforce. 
+Llama-3-8B-SFR-Iterative-DPO-R is a research model developed as part of our RLHF initiative at Salesforce. 
 While safety and ethical considerations are integral to our alignment process, 
 there remains the possibility that the model could generate offensive or unethical content, particularly under adversarial conditions. 
 We are committed to continuous improvement in our models to minimize such risks and encourage responsible usage.