Update docs/contributing/profiling.md

Co-authored-by: Harry Mellor <[email protected]>

Author: Csrayz

docs/contributing/profiling.md

@@ -7,13 +7,10 @@
 
 We support tracing vLLM workers using the `torch.profiler` module. You can enable tracing by setting the `VLLM_TORCH_PROFILER_DIR` environment variable to the directory where you want to save the traces: `VLLM_TORCH_PROFILER_DIR=/mnt/traces/`. Additionally, you can control the profiling content by specifying the following environment variables:
 
-`VLLM_TORCH_PROFILER_RECORD_SHAPES=1` to enable recording Tensor Shapes, off by default
-
-`VLLM_TORCH_PROFILER_WITH_PROFILE_MEMORY=1` to record memory, off by default
-
-`VLLM_TORCH_PROFILER_WITH_STACK=1` to enable recording stack information, on by default
-
-`VLLM_TORCH_PROFILER_WITH_FLOPS=1` to enable recording FLOPs, off by default
+- `VLLM_TORCH_PROFILER_RECORD_SHAPES=1` to enable recording Tensor Shapes, off by default
+- `VLLM_TORCH_PROFILER_WITH_PROFILE_MEMORY=1` to record memory, off by default
+- `VLLM_TORCH_PROFILER_WITH_STACK=1` to enable recording stack information, on by default
+- `VLLM_TORCH_PROFILER_WITH_FLOPS=1` to enable recording FLOPs, off by default
 
 The OpenAI server also needs to be started with the `VLLM_TORCH_PROFILER_DIR` environment variable set.