Update README.md

README.md

@@ -55,7 +55,7 @@ pipeline_tag: text-generation
 
 Heavily inspired by [Hivemind's GPT-J-6B with 8-bit weights](https://huggingface.co/hivemind/gpt-j-6B-8bit), this is a version of [bigscience/bloom](https://huggingface.co/bigscience/bloom) a ~176 billions parameters language model that you run and fine-tune with less memory.
 
-Here, we also apply [LoRA (Low Rank Adapters)](https://arxiv.org/abs/2106.09685) to reduce model size. The original version takes ~353GB memory, this version takes ~180GB.
+Here, we also apply [LoRA (Low Rank Adapters)](https://arxiv.org/abs/2106.09685) to reduce model size. The original version takes \~353GB memory, this version takes **\~180GB**.
 
 Our main objective is to generate a model compressed enough to be deployed in a traditional Kubernetes cluster.
 ### How to use