Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 license: cc-by-sa-3.0
 datasets:
-- VMware/open-instruct-v1-oasst-dolly-hhrlhf
+- VMware/open-instruct
 language:
 - en
 library_name: transformers
@@ -20,7 +20,9 @@ Instruction-tuned version of the fully trained Open LLama 7B v2  model. The mode
 ## License
 - <b>Commercially Viable </b>
 
-- Open-instruct-v1
+<b>Open-instruct <br>
+
+Open-instruct-v1
 - Mosaic/Dolly-HHRLHF + filtered  OASST1 - cc by 3.0 
 
 Subset of COT SUBMIX (FROM FLAN V2) Zeroshot examples
@@ -31,14 +33,16 @@ Subset of COT SUBMIX (FROM FLAN V2) Zeroshot examples
 - gsmk8 - MIT
 - aqua  - MIT
 - qasc  - Apache 2.0
+<br>
 - Language Model, ([openlm-research/open_llama_v2_7b](https://huggingface.co/openlm-research/open_llama_v2_7b)) is under apache-2.0
+- Dataset ([VMware/open-instruct](https://huggingface.co/datasets/VMware/open-instruct)) is under cc-by-sa-3.0
 
 
 ## Nomenclature 
 
 - Model : Open-llama-v2
 - Model Size: 7B parameters
-- Dataset: Open-instruct(oasst,dolly, hhrlhf)
+- Dataset: Open-instruct
 
 ## Use in Transformers
 
@@ -47,7 +51,7 @@ import os
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = 'VMware/open-llama-7b-open-instruct'
+model_name = 'VMware/open-llama-7b-v2-open-instruct'
 
 
 tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)