diff --git a/open_notebook/graphs/utils.py b/open_notebook/graphs/utils.py
index 4ed3000..39871ee 100644
--- a/open_notebook/graphs/utils.py
+++ b/open_notebook/graphs/utils.py
@@ -21,11 +21,6 @@ def run_pattern(
     DEFAULT_MODELS, EMBEDDING_MODEL, SPEECH_TO_TEXT_MODEL = load_default_models()
     tokens = token_count(str(system_prompt) + str(messages))
 
-    model_id = (
-        DEFAULT_MODELS.large_context_model
-        or DEFAULT_MODELS.default_transformation_model
-        or DEFAULT_MODELS.default_chat_model
-    )
     if tokens > 105_000:
         model_id = DEFAULT_MODELS.large_context_model
         logger.debug(
diff --git a/pages/8_🛝_Playground.py b/pages/8_🛝_Playground.py
index a041847..53de8f9 100644
--- a/pages/8_🛝_Playground.py
+++ b/pages/8_🛝_Playground.py
@@ -1,6 +1,7 @@
 import streamlit as st
 import yaml
 
+from open_notebook.domain.models import Model
 from open_notebook.graphs.multipattern import graph as pattern_graph
 from stream_app.utils import version_sidebar
 
@@ -24,6 +25,12 @@ transformation = st.selectbox(
 with st.expander("Details"):
     st.json(transformation)
 
+models = Model.get_models_by_type("language")
+model = st.selectbox(
+    "Pick a pattern model",
+    models,
+    format_func=lambda x: x.name,
+)
 input_text = st.text_area("Enter some text", height=200)
 
 if st.button("Run"):
@@ -31,6 +38,7 @@ if st.button("Run"):
         dict(
             content_stack=[input_text],
             patterns=transformation["patterns"],
-        )
+        ),
+        config=dict(configurable={"model_id": model.id}),
     )
     st.markdown(output["output"])