Update README.md

README.md

@@ -15,7 +15,6 @@ tags:
 ### Model Description
 
 MASHQA-Mistral-7B-Instruct is a large language model fine-tuned on healthcare question-answer pairs to respond safely to the users' queries. It is based on the Mistral-7B Instruct Architecture.
-- Model creator: [Garima Sohi](https://huggingface.co/sohi-g/MASHQA-Mistral-7B-Instruct)
 - Original model: [Mistral-7B-Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
   
 ### Dataset Description
@@ -63,17 +62,6 @@ MASHQA-Mistral-7B-Instruct is a large language model fine-tuned on healthcare qu
 
 **Objective:** Safely respond to users' health-related queries.
     
-### Hardware and Software - Compute Infrastructure
-
-* 4 NVIDIA L4 GPUs & 48 vCPUs
-
-* Environment: PyTorch (pytorch-2.0 w/ CUDA-11.8; see [Github link](https://github.com/pytorch/pytorch))
-
-* CPU: GCP G2 Standard 48 (Platform: Intel Cascade Lake) (Accelerator Optimized)
-
-* CPU memory: 192GB RAM
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-* GPU memory: 30GB per GPU
 
 ## Training
 *This section provides information about the training.*
@@ -215,4 +203,4 @@ Final checkpoint after 500 epochs:
 -   Users of the model should provide mechanisms for those affected to provide feedback, such as an email address for comments.
 
 # Model Card Authors
-Garima Sohi
+Mohd Zeeshan