Update README.md

README.md

@@ -10,7 +10,13 @@ metrics:
 Pruned from [`meta-llama/Meta-Llama-3-8B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) 
 using the Random Pruner from [`LLM-Pruner: On the Structural Pruning of Large Language Models`](https://arxiv.org/abs/2305.11627)
 
-To replicate, 
+Done to test viability of LLM-Pruner for task-agnostic, low resource Generative AI for Commercial and Personal Use
+compared to using out-of-the-box models like [`meta-llama/Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
+
+Our presentation slides may be found [here](https://drive.google.com/file/d/1SUGGgOAq-mizqwM_KveBQ2pWdyglPVdM/view?usp=sharing)
+
+
+# To replicate,
 
 1. First, clone the [official implementation](https://github.com/horseee/LLM-Pruner) and run:
 ```
@@ -32,9 +38,6 @@ to get the pruned model.
 2. Then, to post-train, follow the official implementation, [section 2](https://github.com/horseee/LLM-Pruner?tab=readme-ov-file#2-post-training-recover-stage)
 
 
-
-
-
 # Benchmark Results
 
 **Benchmark Evaluation**: