added specifications

app.py

@@ -62,9 +62,12 @@ with demo:
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         with gr.TabItem("📊 A100-80GB Benchmark 🏋️", elem_id="a100-benchmark", id=0):
-            dataframe_text = "<h4>Specification:\nSingle and Multi-GPU Setup\nBatch Size: 1\nGenerated Tokens: 100</h4>"
+            dataframe_text = """<h4>Specifications:</h4>
+            - Single and Multi-GPU Setup
+            - Batch Size: 1
+            - Generated Tokens: 100"""
 
-            gr.HTML(dataframe_text)
+            gr.Markdown(dataframe_text, elem_classes="markdown-text")
             benchmark_df = get_benchmark_df()
             leaderboard_table_lite = gr.components.Dataframe(
                 value=benchmark_df,

src/assets/text_content.py

@@ -5,17 +5,19 @@ The 🤗 Open LLM-Perf Leaderboard 🏋️ aims to benchmark the performance (la
 Anyone from the community can submit a model or a hardware+backend configuration for automated benchmarking:
 - Model submissions should be made in the [🤗 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) and will be added to the 🤗 Open LLM-Perf Leaderboard 🏋️ once they're publicly available.
 - Hardware+Backend submissions should be made in the 🤗 Open LLM-Perf Leaderboard 🏋️ [community discussions](https://huggingface.co/spaces/optimum/llm-perf-leaderboard/discussions); An automated process will be set up soon to allow for direct submissions.
+
+[Config files](https://github.com/huggingface/optimum-benchmark/blob/main/examples/bert.yaml) (which can be used with Optimum-Benchmark) will be available soon for reproduction and questioning/correction of the results.
 """
 
-CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
+CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results."
 CITATION_BUTTON_TEXT = r"""@misc{open-llm-perf-leaderboard,
   author = {Ilyas Moutawwakil},
   title = {Open LLM-Perf Leaderboard},
   year = {2023},
   publisher = {Hugging Face},
-  howpublished = "\url{https://huggingface.co/spaces/optimum/open-llm-perf-leaderboard}",
+  howpublished = "\url{https://huggingface.co/spaces/optimum/llm-perf-leaderboard}",
 @software{optimum-benchmark,
   author       = {Ilyas Moutawwakil},
-  title        = {A framework for benchmarking the performance of Transformers models},
+  title        = {A framework for benchmarking the performance of Transformers models on different hardwares and backends},
 }
-"""
+"""