Christopher Capobianco
commited on
Commit
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938985b
1
Parent(s):
27cd57b
Remove Work in Progress warnings for LLM project
Browse files- Home.py +0 -1
- projects/07_LLM_Fine_Tuned.py +0 -2
Home.py
CHANGED
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@@ -63,7 +63,6 @@ with st.container():
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text_column, image_column = st.columns((3,1))
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with text_column:
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st.subheader("Fine Tuned LLM", divider="green")
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st.warning("**Work In Progress**")
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st.markdown("""
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- Fine tuned a LLM to act like math assistant
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- The base model is Meta's Llama 3.1 (8B) Instruct
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text_column, image_column = st.columns((3,1))
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with text_column:
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st.subheader("Fine Tuned LLM", divider="green")
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st.markdown("""
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- Fine tuned a LLM to act like math assistant
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- The base model is Meta's Llama 3.1 (8B) Instruct
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projects/07_LLM_Fine_Tuned.py
CHANGED
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@@ -17,8 +17,6 @@ st.markdown("In this case after I fine tuned the LLama 3.1 (8B) base model, it w
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st.markdown("*This is based off the tutorial by Abid Ali Awan [Fine-Tuning Llama 3 and Using It Locally: A Step-by-Step Guide](https://www.datacamp.com/tutorial/llama3-fine-tuning-locally)*")
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st.divider()
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st.warning("**Work In Progress**")
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-
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if "messages" not in st.session_state:
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st.session_state["messages"] = [{"role": "system", "content": "You are a helpful math assistant."}, {"role": "assistant", "content": "What math problem can I help you with today?"}]
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st.markdown("*This is based off the tutorial by Abid Ali Awan [Fine-Tuning Llama 3 and Using It Locally: A Step-by-Step Guide](https://www.datacamp.com/tutorial/llama3-fine-tuning-locally)*")
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st.divider()
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if "messages" not in st.session_state:
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st.session_state["messages"] = [{"role": "system", "content": "You are a helpful math assistant."}, {"role": "assistant", "content": "What math problem can I help you with today?"}]
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