Update README.md

README.md

@@ -34,7 +34,7 @@ seperator = "\n\n"
 dtype = torch.bfloat16
 
 model_path = "path/to/llama-2-70b-hf"
-qlora_path = "path/to/dromedary-2-70b-qlora-delta-v0"
+qlora_path = "path/to/dromedary-2-70b-qlora-delta-v0"  # i.e., this model hub
 
 bnb_config = BitsAndBytesConfig(
       load_in_4bit=True,
@@ -96,4 +96,7 @@ The primary intended users of the model are researchers in artificial intelligen
 7.5K unlabeled prompts from MATH
 
 ## Evaluation dataset
-We evaluate Dromedary on TruthfulQA and HHH Eval, as well as Vicuna benchmark questions.
+We evaluate Dromedary-2 on:
+1. Chatbot benchmarks: Vicuna-Bench, MT-Bench, AlpacaEval
+2. Capability benchmarks: Big-Bench Hard (reasoning), HumanEval (coding), TydiQA (multilingualism)
+3. Truthfulness benchmarks: TruthfulQA