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Update src/leaderboard.py
Browse files- src/leaderboard.py +32 -4
src/leaderboard.py
CHANGED
@@ -5,8 +5,8 @@ from src.utils import model_hyperlink, process_score
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LEADERBOARD_COLUMN_TO_DATATYPE = {
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# open llm
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"Model π€" :"
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"Arch ποΈ" :"
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"Params (B)": "number",
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"Open LLM Score (%)": "number",
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# deployment settings
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@@ -26,6 +26,32 @@ LEADERBOARD_COLUMN_TO_DATATYPE = {
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"Used Memory (MB)": "number",
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}
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def process_model(model_name):
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link = f"https://huggingface.co/{model_name}"
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@@ -43,6 +69,8 @@ def get_leaderboard_df(llm_perf_df):
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)
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return df
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def create_leaderboard_table(llm_perf_df):
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# get dataframe
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@@ -51,8 +79,8 @@ def create_leaderboard_table(llm_perf_df):
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# create table
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard_df,
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headers=
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datatype=
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visible=False,
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line_breaks=False,
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interactive=False
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LEADERBOARD_COLUMN_TO_DATATYPE = {
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# open llm
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"Model π€" :"str",
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"Arch ποΈ" :"str",
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"Params (B)": "number",
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"Open LLM Score (%)": "number",
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# deployment settings
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"Used Memory (MB)": "number",
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}
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from dataclasses import dataclass
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@dataclass
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class LeaderboardColumn:
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name: str
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type: str
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LEADERBOARD_COLUMNS = [
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LeaderboardColumn("Model π€", "str"),
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LeaderboardColumn("Arch ποΈ", "str"),
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LeaderboardColumn("Params (B)", "number"),
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LeaderboardColumn("Open LLM Score (%)", "number"),
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LeaderboardColumn("DType π₯", "str"),
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LeaderboardColumn("Backend π", "str"),
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LeaderboardColumn("Optimization π οΈ", "str"),
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LeaderboardColumn("Quantization ποΈ", "str"),
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LeaderboardColumn("Prefill Latency (s)", "number"),
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LeaderboardColumn("Decode Throughput (tokens/s)", "number"),
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LeaderboardColumn("Allocated Memory (MB)", "number"),
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LeaderboardColumn("Energy (tokens/kWh)", "number"),
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LeaderboardColumn("E2E Latency (s)", "number"),
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LeaderboardColumn("E2E Throughput (tokens/s)", "number"),
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LeaderboardColumn("Reserved Memory (MB)", "number"),
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LeaderboardColumn( "Used Memory (MB)", "number")
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]
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def process_model(model_name):
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link = f"https://huggingface.co/{model_name}"
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)
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return df
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HEADERS = [col.name for col in LEADERBOARD_COLUMNS]
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DATATYPES = [col.type for col in LEADERBOARD_COLUMNS]
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def create_leaderboard_table(llm_perf_df):
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# get dataframe
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# create table
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard_df,
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headers=HEADERS,
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datatype=DATATYPES,
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visible=False,
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line_breaks=False,
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interactive=False
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