Update README.md

README.md

@@ -1,11 +1,15 @@
 ---
 library_name: transformers
-tags: []
+tags:
+- legal
+license: mit
+language:
+- en
 ---
 
-# SaulLM-7B-Base
+# Equall/Saul-Base-v1
 
-The base model for SaulLM-7B, a large language model tailored for Legal domain. This model is obtained by continue pretraining of Mistral-7B.
+This is the base model for Equall/Saul-Base, a large instruct language model tailored for Legal domain. This model is obtained by continue pretraining of Mistral-7B.
 
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/644a900e3a619fe72b14af0f/OU4Y3s-WckYKMN4fQkNiS.png)
@@ -22,7 +26,6 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 - **Model type:** 7B
 - **Language(s) (NLP):** English
 - **License:** MIT
-- **Finetuned from model:** Check Saul-7B-Instruct
 
 ### Model Sources
 
@@ -46,7 +49,7 @@ Here's how you can run the model using the pipeline() function from 🤗 Transfo
 import torch
 from transformers import pipeline
 
-pipe = pipeline("text-generation", model="Equall/Saul-Base", torch_dtype=torch.bfloat16, device_map="auto")
+pipe = pipeline("text-generation", model="Equall/Saul-Instruct-v1", torch_dtype=torch.bfloat16, device_map="auto")
 # We use the tokenizer’s chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
 messages = [
     {"role": "user", "content": "[YOUR QUERY GOES HERE]"},
@@ -65,6 +68,9 @@ This model is built upon the technology of LLM, which comes with inherent limita
 
 ## Citation
 
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
 
 
 ```bibtex
@@ -76,4 +82,4 @@ This model is built upon the technology of LLM, which comes with inherent limita
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
-```
+```