Update README.md

README.md

@@ -6,13 +6,13 @@ datasets:
 language:
 - en
 ---
-# nova-nsql-Llama-2-70B
+# SambaCoder-nsql-llama-2-70b
 
 ## Model Description
 
 NSQL is a family of autoregressive open-source large foundation models (FMs) designed specifically for SQL generation tasks.
 
-In this repository we are introducing a new member of NSQL, NSQL-Llama-2-70B. It's based on Meta's original [Llama-2 70B model](https://huggingface.co/meta-llama/Llama-2-70b) and further pre-trained on a dataset of general SQL queries and then fine-tuned on a dataset composed of text-to-SQL pairs.
+In this repository we are introducing a new member of NSQL, SambaCoder-nsql-llama-2-70b. It's based on Meta's original [Llama-2 70B model](https://huggingface.co/meta-llama/Llama-2-70b) and further pre-trained on a dataset of general SQL queries and then fine-tuned on a dataset composed of text-to-SQL pairs.
 
 Use of this model is governed by the Meta’s Llama 2 Community License Agreement. Please review and accept the license before downloading the model weights and tokenizer
 
@@ -69,8 +69,8 @@ The model was designed for text-to-SQL generation tasks from given table schema
 ```python
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
-tokenizer = AutoTokenizer.from_pretrained("sambanovasystems/nova-nsql-Llama-2-70B")
-model = AutoModelForCausalLM.from_pretrained("sambanovasystems/nova-nsql-Llama-2-70B", torch_dtype=torch.bfloat16)
+tokenizer = AutoTokenizer.from_pretrained("sambanovasystems/SambaCoder-nsql-llama-2-70b")
+model = AutoModelForCausalLM.from_pretrained("sambanovasystems/SambaCoder-nsql-llama-2-70b", torch_dtype=torch.bfloat16)
 text = "CREATE TABLE stadium (
     stadium_id number,
     location text,