Update README.md

README.md

@@ -33,9 +33,9 @@ base_model:
 - openGPT-X/Teuken-7B-base-v0.4
 license: apache-2.0
 ---
-# Model Card for HalloEurope-7B-Instruct
+# Model Card for Teuken-7B-instruct-v0.4
 
-Teuken-7B-chat-v0.4 is an instruction-tuned version of Teuken-7B-base-v0.4.
+Teuken-7B-instruct-v0.4 is an instruction-tuned version of Teuken-7B-base-v0.4.
 
 
 ### Model Description
@@ -51,7 +51,7 @@ Teuken-7B-chat-v0.4 is an instruction-tuned version of Teuken-7B-base-v0.4.
 ## Uses
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-Teuken-7B-chat-v0.4 is intended for commercial and research use in all official 24 European languages. Since Teuken-7B-chat-v0.4 focuses on covering all 24 EU languages, it renders more stable results across these languages and better reflects European values in its answers than English-centric models. It is therefore specialized for use in multilingual tasks.
+Teuken-7B-instruct-v0.4 is intended for commercial and research use in all official 24 European languages. Since Teuken-7B-chat-v0.4 focuses on covering all 24 EU languages, it renders more stable results across these languages and better reflects European values in its answers than English-centric models. It is therefore specialized for use in multilingual tasks.
 
 ### Out-of-Scope Use
 
@@ -63,7 +63,7 @@ The model is not intended for use in math and coding tasks.
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-Teuken-7B-chat-v0.4 is an instruction-tuned version of Teuken-7B-base-v0.4 that is not completely free from biases and hallucinations.
+Teuken-7B-instruct-v0.4 is an instruction-tuned version of Teuken-7B-base-v0.4 that is not completely free from biases and hallucinations.
 
 ## How to Get Started with the Model
 
@@ -89,7 +89,7 @@ prompt = f"System: {system_messages[lang_code]}\nUser: {user}\nAssistant:<s>"
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "openGPT-X/Teuken-7B-chat-v0.4"
+model_name = "openGPT-X/Teuken-7B-instruct-v0.4"
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
 model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True, torch_dtype=torch.bfloat16).to(device)