Update README.md

README.md

@@ -15,6 +15,7 @@ language:
 
 # Model Card for kettleguts/zephyr-7b-beta_sparse05
 
+
 This is a pruned version of HuggingFaceH4/zephyr-7b-beta found [here](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta). Wanda pruning was used to introduce 50% sparsity into the linear layers. Read the paper [here](https://arxiv.org/abs/2306.11695).
 
 
@@ -41,7 +42,7 @@ This model should never be used for critical decisions involving health, life, e
 
 ## Bias, Risks, and Limitations
 
-[No safegaurd have been added to this model.](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta#bias-risks-and-limitations)
+[No safegaurds have been added to this model.](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta#bias-risks-and-limitations)
 
 ## How to Get Started with the Model
 
@@ -88,7 +89,7 @@ Output:
 Pending
 
 
-## Model Examination [optional]
+## Model Examination
 
 <!-- Relevant interpretability work for the model goes here -->
 Pending
@@ -97,7 +98,7 @@ Pending
 
 The calculations necessary to prune this model required less than 1 hour of time on a T4 GPU in Colab.
 
-## Technical Specifications [optional]
+## Technical Specifications
 
 
 #### Software
@@ -105,7 +106,7 @@ The calculations necessary to prune this model required less than 1 hour of time
 The bulk of this work was done using [Pytorch](https://pytorch.org/). They have an array of built-in [pruning tools](https://pytorch.org/docs/stable/nn.html#:~:text=Utility%20classes%20and%20functions%20for%20pruning%20Module%20parameters
 ) in torch.nn . Also check out the [tutorial](https://pytorch.org/tutorials/intermediate/pruning_tutorial.html) by [Michela Paganini](https://github.com/mickypaganini).
 
-## Citation [optional]
+## Citation
 
 **BibTeX:**
 <code>