Update README.md

README.md

@@ -9,7 +9,7 @@ pipeline_tag: text2text-generation
 
 These files are the result of merging the [LoRA weights of chtan's gpt4-alpaca-lora_mlp-65B](https://huggingface.co/chtan/gpt4-alpaca-lora_mlp-65b) with the original Llama 65B model.
 
-It is the result of quantising to 4bit using [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa).
+It was then quantised to 4bit using [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa).
 
 ## Repositories available
 
@@ -49,7 +49,7 @@ You will need at least 48GB VRAM to use this model, either on one GPU or multipl
 
 This will work with all versions of GPTQ-for-LLaMa. It has maximum compatibility.
 
-It was created with `--act-order` to increase quantisation quality, but without groupsize so as to reduce VRAM requirements.
+It was created with `--act-order` to increase quantisation quality, but without group_size so as to reduce VRAM requirements.
 
 * `gpt4-alpaca-lora_mlp-65B-GPTQ-4bit.safetensors`
   * Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches