diff --git a/tests/e2e/vLLM/configs/kv_cache_gptq_tinyllama.yaml b/tests/e2e/vLLM/configs/kv_cache_gptq_tinyllama.yaml
index 6dd112d3c..5a5bbc537 100644
--- a/tests/e2e/vLLM/configs/kv_cache_gptq_tinyllama.yaml
+++ b/tests/e2e/vLLM/configs/kv_cache_gptq_tinyllama.yaml
@@ -4,4 +4,4 @@ model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
 recipe: tests/e2e/vLLM/recipes/kv_cache/gptq.yaml
 dataset_id: HuggingFaceH4/ultrachat_200k
 dataset_split: train_sft
-scheme: kv_cache_default_tinyllama
\ No newline at end of file
+scheme: kv_cache_default_gptq_tinyllama
\ No newline at end of file
diff --git a/tests/e2e/vLLM/test_vllm.py b/tests/e2e/vLLM/test_vllm.py
index 5ea0be43c..6632ca633 100644
--- a/tests/e2e/vLLM/test_vllm.py
+++ b/tests/e2e/vLLM/test_vllm.py
@@ -182,7 +182,7 @@ def tear_down(self):
             p.mkdir(parents=True, exist_ok=True)
 
             df = pd.DataFrame(measurements)
-            df.to_csv(p / f"{self.save_dir}.csv")
+            df.to_csv(p / f"{self.save_dir}.csv", index=False)
 
     @log_time
     def _save_compressed_model(self, oneshot_model, tokenizer):