1 files changed, 0 insertions, 100 deletions
diff --git a/notebooks/llm-stats.py b/notebooks/llm-stats.py
deleted file mode 100644
index 7e4e535..0000000
--- a/notebooks/llm-stats.py
+++ /dev/null
@@ -1,100 +0,0 @@
-import marimo
-
-__generated_with = "0.23.10"
-app = marimo.App(width="full")
-
-
-@app.cell
-def _():
-    import marimo as mo
-    import pandas as pd
-    import altair as alt
-
-    return alt, mo, pd
-
-# https://artificialanalysis.ai/leaderboards/models
-@app.cell
-def _(pd):
-    COLUMNS = ["name", "aai_score", "price", "tok_per_sec"]
-    ROWS = [
-        ["DeepSeek V4 Flash", 37, 0.08, 101],
-        ["DeepSeek V4 Pro", 44, 0.18, 85],
-        ["Claude Opus 4.7", 54, 3.85, 51],
-        ["Claude Opus 4.8", 56, 3.85, 58],
-        ["Claude Sonnet 4.6", 47, 2.31, 50],
-        ["Claude Haiku 4.5", 30, 0.77, 93],
-        ["Gemini 3.5 Flash", 50, 1.31, 161],
-        ["MiMo 2.5", 40, 0.06, 79],
-        ["Nemotron 3 Ultra", 38, 0.58, 164],
-        ["Gemma 4 E2B (local)", 9, 0.0, 60],
-        ["GLM 5.2", 51, 0.90, 82],
-        ["MiniMax M3", 44, 0.22, 68],
-    ]
-    df = pd.DataFrame(ROWS, columns=COLUMNS)
-    return df
-
-
-@app.cell
-def _(df, mo):
-    mo.md(f"""
-    # 🤖 LLM Stats Tracker
-
-    **{len(df)} models tracked**
-    """)
-    return
-
-
-@app.cell
-def _(alt, df):
-    scatter = (
-        alt.Chart(df)
-        .mark_circle(size=200)
-        .encode(
-            x=alt.X("price", title="Blended Price $/1M"),
-            y=alt.Y("aai_score", title="AAI Score"),
-            color=alt.Color("tok_per_sec:Q", title="tok/sec", scale=alt.Scale(scheme="viridis")),
-            tooltip=["name", "aai_score", "price", "tok_per_sec"],
-        )
-    )
-    labels = (
-        alt.Chart(df)
-        .mark_text(dy=-12, fontSize=10)
-        .encode(
-            x="price",
-            y="aai_score",
-            text="name",
-        )
-    )
-    chart_price_quality = (scatter + labels).properties(width="container")
-    chart_price_quality
-    return
-
-
-@app.cell
-def _(alt, df):
-    bubble = (
-        alt.Chart(df)
-        .mark_circle(size=120, opacity=0.7)
-        .encode(
-            x=alt.X("tok_per_sec:Q", title="Tokens/sec"),
-            y=alt.Y("aai_score:Q", title="AAI Score"),
-            color=alt.Color("price:Q", title="Price $/1M", scale=alt.Scale(scheme="viridis")),
-            tooltip=["name", "aai_score", "price", "tok_per_sec"],
-        )
-    )
-    bubble_labels = (
-        alt.Chart(df)
-        .mark_text(dy=-14, fontSize=10, fontWeight="bold")
-        .encode(
-            x="tok_per_sec:Q",
-            y="aai_score:Q",
-            text="name:N",
-        )
-    )
-    chart_speed_quality = (bubble + bubble_labels).properties(width="container")
-    chart_speed_quality
-    return
-
-
-if __name__ == "__main__":
-    app.run()