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Upload model_information.py with huggingface_hub

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  1. model_information.py +112 -5
model_information.py CHANGED
@@ -2,10 +2,10 @@ import pandas as pd
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  # Define the data
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  data = {
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- "Original Name" : ['cross_openhermes_llama3_8b_4096_inst'],
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- "Proper Display Name": ['Cross-OpenHermes-Llama-3-8B-4096-Inst'],
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- "Link" : ['https://huggingface.co/spaces/SeaEval/SeaEval_Leaderboard'],
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- "Model Size" : ['8'],
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  }
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@@ -15,9 +15,115 @@ data['Proper Display Name'].append('Gemma-2-2B-IT')
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  data['Link'].append('https://huggingface.co/google/gemma-2-2b-it')
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  data['Model Size'].append('2')
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  def get_dataframe():
@@ -30,4 +136,5 @@ def get_dataframe():
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  # cross_openhermes_llama3_8b_4096_inst
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  # Cross-OpenHermes-Llama-3-8B-4096-Inst
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- # https://huggingface.co/spaces/SeaEval/SeaEval_Leaderboard
 
 
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  # Define the data
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  data = {
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+ "Original Name" : [],
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+ "Proper Display Name": [],
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+ "Link" : [],
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+ "Model Size" : [],
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  }
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  data['Link'].append('https://huggingface.co/google/gemma-2-2b-it')
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  data['Model Size'].append('2')
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+ data['Original Name'].append('gemma-2-9b-it')
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+ data['Proper Display Name'].append('Gemma-2-9B-IT')
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+ data['Link'].append('https://huggingface.co/google/gemma-2-9b-it')
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+ data['Model Size'].append('9')
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+ data['Original Name'].append('GPT4o_0513')
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+ data['Proper Display Name'].append('GPT4o-0513')
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+ data['Link'].append('https://openai.com/index/hello-gpt-4o/')
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+ data['Model Size'].append('99999')
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+ data['Original Name'].append('llama3-8b-cpt-sea-lionv2-base')
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+ data['Proper Display Name'].append('Llama3-8B-CPT-SEA-Lion-v2-Base')
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+ data['Link'].append('https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2-base')
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+ data['Model Size'].append('8')
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+ data['Original Name'].append('llama3-8b-cpt-sea-lionv2-instruct')
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+ data['Proper Display Name'].append('Llama3-8B-CPT-SEA-Lion-v2-Instruct')
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+ data['Link'].append('https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct')
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+ data['Model Size'].append('8')
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+
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+ data['Original Name'].append('Meta-Llama-3-8B')
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+ data['Proper Display Name'].append('Meta-Llama-3-8B')
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+ data['Link'].append('https://ai.meta.com/blog/meta-llama-3/')
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+ data['Model Size'].append('8')
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+
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+ data['Original Name'].append('Meta-Llama-3-8B-Instruct')
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+ data['Proper Display Name'].append('Meta-Llama-3-8B-Instruct')
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+ data['Link'].append('https://ai.meta.com/blog/meta-llama-3/')
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+ data['Model Size'].append('8')
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+
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+ data['Original Name'].append('Meta-Llama-3-70B-Instruct')
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+ data['Proper Display Name'].append('Meta-Llama-3-70B-Instruct')
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+ data['Link'].append('https://ai.meta.com/blog/meta-llama-3/')
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+ data['Model Size'].append('70')
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+
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+ data['Original Name'].append('Meta-Llama-3.1-8B')
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+ data['Proper Display Name'].append('Meta-Llama-3.1-8B')
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+ data['Link'].append('https://ai.meta.com/blog/meta-llama-3-1/')
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+ data['Model Size'].append('8')
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+
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+ data['Original Name'].append('Meta-Llama-3.1-8B-Instruct')
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+ data['Proper Display Name'].append('Meta-Llama-3.1-8B-Instruct')
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+ data['Link'].append('https://ai.meta.com/blog/meta-llama-3-1/')
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+ data['Model Size'].append('8')
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+
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+ data['Original Name'].append('Meta-Llama-3.1-70B')
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+ data['Proper Display Name'].append('Meta-Llama-3.1-70B')
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+ data['Link'].append('https://ai.meta.com/blog/meta-llama-3-1/')
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+ data['Model Size'].append('70')
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+
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+ data['Original Name'].append('Meta-Llama-3.1-70B-Instruct')
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+ data['Proper Display Name'].append('Meta-Llama-3.1-70B-Instruct')
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+ data['Link'].append('https://ai.meta.com/blog/meta-llama-3-1/')
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+ data['Model Size'].append('70')
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+
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+ data['Original Name'].append('Qwen2_5_0_5B_Instruct')
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+ data['Proper Display Name'].append('Qwen2.5-0.5B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct')
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+ data['Model Size'].append('0.5')
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+
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+ data['Original Name'].append('Qwen2_5_1_5B_Instruct')
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+ data['Proper Display Name'].append('Qwen2.5-1.5B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct')
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+ data['Model Size'].append('1.5')
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+
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+ data['Original Name'].append('Qwen2_5_3B_Instruct')
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+ data['Proper Display Name'].append('Qwen2.5-3B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-3B-Instruct')
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+ data['Model Size'].append('3')
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+
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+ data['Original Name'].append('Qwen2_5_7B_Instruct')
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+ data['Proper Display Name'].append('Qwen2.5-7B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-7B-Instruct')
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+ data['Model Size'].append('7')
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+
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+ data['Original Name'].append('Qwen2_5_14B_Instruct')
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+ data['Proper Display Name'].append('Qwen2.5-14B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-14B-Instruct')
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+ data['Model Size'].append('14')
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+
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+ data['Original Name'].append('Qwen2_5_32B_Instruct')
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+ data['Proper Display Name'].append('Qwen2.5-32B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-32B-Instruct')
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+ data['Model Size'].append('32')
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+
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+ data['Original Name'].append('Qwen2_5_72B_Instruct')
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+ data['Proper Display Name'].append('Qwen2.5-72B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-72B-Instruct')
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+ data['Model Size'].append('72')
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+
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+ data['Original Name'].append('Qwen2-7B-Instruct')
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+ data['Proper Display Name'].append('Qwen2-7B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2-7B-Instruct')
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+ data['Model Size'].append('7')
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+
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+ data['Original Name'].append('Qwen2-72B-Instruct')
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+ data['Proper Display Name'].append('Qwen2-72B-Instruct')
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+ data['Link'].append('https://huggingface.co/Qwen/Qwen2-72B-Instruct')
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+ data['Model Size'].append('72')
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+
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+ data['Original Name'].append('SeaLLMs-v3-7B-Chat')
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+ data['Proper Display Name'].append('SeaLLMs-v3-7B-Chat')
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+ data['Link'].append('https://arxiv.org/abs/2407.19672')
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+ data['Model Size'].append('7')
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+
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+ data['Original Name'].append('MERALiON-LLaMA-3-8B-Chat')
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+ data['Proper Display Name'].append('MERALiON-LLaMA-3-8B-Chat')
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+ data['Link'].append('https://huggingface.co/spaces/SeaEval/SeaEval_Leaderboard')
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+ data['Model Size'].append('8')
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  def get_dataframe():
 
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  # cross_openhermes_llama3_8b_4096_inst
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  # Cross-OpenHermes-Llama-3-8B-4096-Inst
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+ # https://huggingface.co/spaces/SeaEval/SeaEval_Leaderboard
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+