Update src/content.py

src/content.py

@@ -6,8 +6,8 @@ INTRODUCTION = """
 The 🤗 LLM-Perf Leaderboard 🏋️ aims to benchmark the performance (latency, throughput, memory & energy) of Large Language Models (LLMs) with different hardwares, backends and optimizations using [Optimum-Benchmark](https://github.com/huggingface/optimum-benchmark) and [Optimum](https://github.com/huggingface/optimum) flavors.
 
 Anyone from the community can request a model or a hardware/backend/optimization configuration for automated benchmarking:
-- Model evaluation requests should be made in the [🤗 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the [🤗 LLM Performance Leaderboard 🏋️](https://huggingface.co/spaces/optimum/llm-perf-leaderboard) automatically.
-- Hardware/Backend/Optimization performance requests should be made in the [llm-perf-backend repository](https://github.com/IlyasMoutawwakil/llm-perf-backend) and will be added to the [🤗 LLM Performance Leaderboard 🏋️](https://huggingface.co/spaces/optimum/llm-perf-leaderboard) automatically.
+- Model evaluation requests should be made in the [🤗 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the [🤗 LLM-Perf Leaderboard 🏋️](https://huggingface.co/spaces/optimum/llm-perf-leaderboard) automatically.
+- Hardware/Backend/Optimization performance requests should be made in the [llm-perf-backend repository](https://github.com/IlyasMoutawwakil/llm-perf-backend) and will be added to the [🤗 LLM-Perf Leaderboard 🏋️](https://huggingface.co/spaces/optimum/llm-perf-leaderboard) automatically.
 """
 
 ABOUT = """<h3>About the 🤗 LLM-Perf Leaderboard 🏋️</h3>