diff --git a/eval/humaneval.py b/eval/humaneval.py
index 4319019d..9c2a3b26 100644
--- a/eval/humaneval.py
+++ b/eval/humaneval.py
@@ -1,8 +1,6 @@
 from __future__ import annotations
 
-import os
-import sys
-
+import os, sys
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 from human_eval.data import write_jsonl, read_problems
 from exllamav2 import model_init
@@ -25,9 +23,9 @@
 parser.add_argument("-v", "--verbose", action = "store_true", help = "Spam completions to console while generating")
 parser.add_argument("-e", "--eval", action = "store_true", help = "Run evaluation script on output file after sampling")
 parser.add_argument("-temp", "--temperature", type = float, help = "Sampling temperature (0 for greedy), default: 0.6", default = 0.6)
-parser.add_argument("--top_k", type = int, help = "Top-k sampling, default: 50", default = 50)
-parser.add_argument("--top_p", type = float, help = "Top-p sampling, default: 0.6", default = 0.6)
-parser.add_argument("-trp", "--token_repetition_penalty", type = float, help = "Token repetition penalty, default: 1.0", default = 1.0)
+parser.add_argument("-topk", "--top_k", type = int, help = "Top-k sampling, default: 50", default = 50)
+parser.add_argument("-topp", "--top_p", type = float, help = "Top-p sampling, default: 0.6", default = 0.6)
+parser.add_argument("-repp", "--repetition_penalty", type = float, help = "Token repetition penalty, default: 1.0", default = 1.0)
 model_init.add_args(parser)
 args = parser.parse_args()
 
@@ -124,10 +122,10 @@
 )
 
 gen_settings = ExLlamaV2Sampler.Settings(
-    token_repetition_penalty=args.token_repetition_penalty,
-    temperature=args.temperature,
-    top_k=args.top_k,
-    top_p=args.top_p
+    token_repetition_penalty = args.repetition_penalty,
+    temperature = args.temperature,
+    top_k = args.top_k,
+    top_p = args.top_p
 )
 
 # Get problems