Update README.md

README.md

@@ -3,13 +3,26 @@ license: apache-2.0
 pipeline_tag: text-generation
 tags:
 - finetuned
+- chatgpt
+- LLM
+- openGPT
+- free LLM
+- no api key
+- LLAMA
+- llama chat
+- opengpt model
+- opengpt llm
+- text-to-text
+- Text-to-Text
+- Chatbot
+- Chat UI
 ---
 
-# Model Card for Mistral-7B-Instruct-v0.1
+# Model Card for OpenGPT-1.0
 
-The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) generative text model using a variety of publicly available conversation datasets.
+The OpenGPT-1.0 Large Language Model (LLM) is a instruct fine-tuned version of the [OpenGPT-1.0](https://huggingface.co/AchyuthGamer/OpenGPT) generative text model using a variety of publicly available conversation datasets.
 
-For full details of this model please read our [release blog post](https://mistral.ai/news/announcing-mistral-7b/)
+For full details of this model please read our [release blog post](https://huggingface.co/AchyuthGamer/OpenGPT)
 
 ## Instruction format
 
@@ -29,8 +42,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 
 device = "cuda" # the device to load the model onto
 
-model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
-tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
+model = AutoModelForCausalLM.from_pretrained("AchyuthGamer/OpenGPT")
+tokenizer = AutoTokenizer.from_pretrained("AchyuthGamer/OpenGPT")
 
 messages = [
     {"role": "user", "content": "What is your favourite condiment?"},