Update README.md

README.md

@@ -112,7 +112,7 @@ python sparseml/src/sparseml/transformers/sparsification/obcq/obcq.py TinyLlama/
 python sparseml/src/sparseml/transformers/sparsification/obcq/export.py --task text-generation --model_path obcq_deployment 
 cp deployment/model.onnx deployment/model-orig.onnx
 ```
-Run this kv-cache injection afterwards:
+Run this kv-cache injection to speed up the model at inference by caching the Key and Value states:
 ```python
 import os
 import onnx
@@ -124,7 +124,7 @@ model = KeyValueCacheInjector(model_path=os.path.dirname(input_file)).apply(mode
 onnx.save(model, output_file)
 print(f"Modified model saved to: {output_file}")
 ```
-Follow the instructions on our [One Shot With SparseML](https://github.com/neuralmagic/sparseml/tree/main/src/sparseml/transformers/sparsification/obcq) guide for step-by-step instruction on performing one-shot quantization on your own large language models. 
+Follow the instructions on our [One Shot With SparseML](https://github.com/neuralmagic/sparseml/tree/main/src/sparseml/transformers/sparsification/obcq) guide for step-by-step instructions for performing one-shot quantization on large language models. 
 ## Slack
 
 For further support, and discussions on these models and AI in general, join us at [Neural Magic's Slack server](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ)