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Update app.py
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app.py
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@@ -31,43 +31,43 @@ model_links ={
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#Pull info about the model to display
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model_info ={
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"Mistral-7B":
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\nIt was created by the Mistral AI team as has over **7 billion parameters.** \n"""
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"Gemma-7B":
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\nIt was created by the Google's AI Team team as has over **7 billion parameters.** \n"""
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"Gemma-2B":
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"Zephyr-7B":
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"Zephyr-7B-β":
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"Meta-Llama-3-8B":
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"Meta-Llama-3.1-8B":
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}
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}
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#Pull info about the model to display
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model_info = {
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"Mistral-7B": {
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'description': """The Mistral model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nIt was created by the Mistral AI team as has over **7 billion parameters.** \n"""
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},
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"Gemma-7B": {
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'description': """The Gemma model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nIt was created by the Google's AI Team team as has over **7 billion parameters.** \n"""
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},
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"Gemma-2B": {
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'description': """The Gemma model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nIt was created by the Google's AI Team team as has over **2 billion parameters.** \n"""
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},
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"Zephyr-7B": {
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'description': """The Zephyr model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nFrom Huggingface: \n\
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Zephyr is a series of language models that are trained to act as helpful assistants. \
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Zephyr 7B Gemma\
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is the third model in the series, and is a fine-tuned version of google/gemma-7b \
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that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO)\n"""
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},
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"Zephyr-7B-β": {
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'description': """The Zephyr model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nFrom Huggingface: \n\
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Zephyr is a series of language models that are trained to act as helpful assistants. \
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Zephyr-7B-β\
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is the second model in the series, and is a fine-tuned version of mistralai/Mistral-7B-v0.1 \
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that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO)\n"""
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},
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"Meta-Llama-3-8B": {
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'description': """The Llama (3) model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nIt was created by the Meta's AI team and has over **8 billion parameters.** \n"""
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},
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"Meta-Llama-3.1-8B": {
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'description': """The Llama (3.1) model is a **Large Language Model (LLM)** that's able to have question and answer interactions.\n \
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\nIt was created by the Meta's AI team and has over **8 billion parameters.** \n"""
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},
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}
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