Update README.md

README.md

@@ -54,7 +54,7 @@ import torch
 tokenizer  = AutoTokenizer.from_pretrained("Bo1015/proteinglm-100b-int4", trust_remote_code=True, use_fast=True)
 config = AutoConfig.from_pretrained("Bo1015/proteinglm-100b-int4",  trust_remote_code=True, torch_dtype=torch.half)
 config.is_causal=False
-config.post_layer_norm=True # use the final layernorm or not 
+config.post_layer_norm=True # use the final layernorm or not, some tasks set to false would be better.
 model = AutoModelForMaskedLM.from_pretrained("Bo1015/proteinglm-100b-int4", config = config, torch_dtype=torch.half,trust_remote_code=True)
 if torch.cuda.is_available():
     model = model.cuda()