Update README.md

README.md

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 **Model type:**
-Dromedary-2 is an open-source self-aligned language model trained with minimal human supervision with the SALMON (Self-Alignment with Principle-Following Reward Models) technique.
+Dromedary-2 is an open-source self-aligned language model trained in minimal human supervision with the SALMON (Self-Alignment with Principle-Following Reward Models) technique.
 The base language model is LLaMA-70b, based on the transformer architecture.
 
 **NOTE: *Dromedary-2* is trained with QLoRA and the bfloat16 data type.** While it is [possible](https://gist.github.com/ChrisHayduk/1a53463331f52dca205e55982baf9930) to merge the QLoRA weights with the quantized model and thus enable inference with libraries such as [TGI](https://github.com/huggingface/text-generation-inference) and [vLLM](https://github.com/vllm-project/vllm), we found the merged weights can lead to degenerated performance. Therefore, we recommend directly loading the QLoRA weights with the PEFT-LoRA framework.