Update README.md

README.md

@@ -6,12 +6,14 @@ license: apache-2.0
 
 HelixNet-LMoE is a simple LoRA based Mixture of Experts version of the [HelixNet](https://huggingface.co/migtissera/HelixNet) 3-model system by [Migel Tissera](https://huggingface.co/migtissera).
 
+_Update_ : There is a 6bpw LMoE version that runs the entire 3-model system much faster, using 8 GB gpu mem in total. ExLlamaV2 version here: [HelixNet-LMoE-6.0bpw-h6-exl2](https://huggingface.co/rhysjones/HelixNet-LMoE-6.0bpw-h6-exl2).
+
 For each HelixNet model, a separate LoRA adapter was extracted :
  * [HelixNet-LMoE-Actor](https://huggingface.co/rhysjones/HelixNet-LMoE-Actor)
  * [HelixNet-LMoE-Critic](https://huggingface.co/rhysjones/HelixNet-LMoE-Critic)
  * [HelixNet-LMoE-Regenerator](https://huggingface.co/rhysjones/HelixNet-LMoE-Regenerator)
 
-These are then loaded togeter with the base [Mistral 7b](https://huggingface.co/mistralai/Mistral-7B-v0.1) model to give the combined LMoE model.
+These are then loaded together with the base [Mistral 7b](https://huggingface.co/mistralai/Mistral-7B-v0.1) model to give the combined LMoE model.
 
 As HelixNet processes its inputs using the actor, critic and regenerator actions, the corresponding LoRA adapter is dynamically enabled as required.