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import pandas as pd | |
# Define the data | |
data = { | |
"Original Name" : [], | |
"Proper Display Name": [], | |
"Link" : [], | |
"Model Size" : [], | |
} | |
# Add model information to the | |
data['Original Name'].append('gemma-2-2b-it') | |
data['Proper Display Name'].append('Gemma-2-2B-IT') | |
data['Link'].append('https://huggingface.co/google/gemma-2-2b-it') | |
data['Model Size'].append('2') | |
data['Original Name'].append('gemma-2-9b-it') | |
data['Proper Display Name'].append('Gemma-2-9B-IT') | |
data['Link'].append('https://huggingface.co/google/gemma-2-9b-it') | |
data['Model Size'].append('9') | |
data['Original Name'].append('GPT4o_0513') | |
data['Proper Display Name'].append('GPT4o-0513') | |
data['Link'].append('https://openai.com/index/hello-gpt-4o/') | |
data['Model Size'].append('99999') | |
data['Original Name'].append('llama3-8b-cpt-sea-lionv2-base') | |
data['Proper Display Name'].append('Llama3-8B-CPT-SEA-Lion-v2-Base') | |
data['Link'].append('https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2-base') | |
data['Model Size'].append('8') | |
data['Original Name'].append('llama3-8b-cpt-sea-lionv2-instruct') | |
data['Proper Display Name'].append('Llama3-8B-CPT-SEA-Lion-v2-Instruct') | |
data['Link'].append('https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct') | |
data['Model Size'].append('8') | |
data['Original Name'].append('Meta-Llama-3-8B') | |
data['Proper Display Name'].append('Meta-Llama-3-8B') | |
data['Link'].append('https://ai.meta.com/blog/meta-llama-3/') | |
data['Model Size'].append('8') | |
data['Original Name'].append('Meta-Llama-3-8B-Instruct') | |
data['Proper Display Name'].append('Meta-Llama-3-8B-Instruct') | |
data['Link'].append('https://ai.meta.com/blog/meta-llama-3/') | |
data['Model Size'].append('8') | |
data['Original Name'].append('Meta-Llama-3-70B-Instruct') | |
data['Proper Display Name'].append('Meta-Llama-3-70B-Instruct') | |
data['Link'].append('https://ai.meta.com/blog/meta-llama-3/') | |
data['Model Size'].append('70') | |
data['Original Name'].append('Meta-Llama-3.1-8B') | |
data['Proper Display Name'].append('Meta-Llama-3.1-8B') | |
data['Link'].append('https://ai.meta.com/blog/meta-llama-3-1/') | |
data['Model Size'].append('8') | |
data['Original Name'].append('Meta-Llama-3.1-8B-Instruct') | |
data['Proper Display Name'].append('Meta-Llama-3.1-8B-Instruct') | |
data['Link'].append('https://ai.meta.com/blog/meta-llama-3-1/') | |
data['Model Size'].append('8') | |
data['Original Name'].append('Meta-Llama-3.1-70B') | |
data['Proper Display Name'].append('Meta-Llama-3.1-70B') | |
data['Link'].append('https://ai.meta.com/blog/meta-llama-3-1/') | |
data['Model Size'].append('70') | |
data['Original Name'].append('Meta-Llama-3.1-70B-Instruct') | |
data['Proper Display Name'].append('Meta-Llama-3.1-70B-Instruct') | |
data['Link'].append('https://ai.meta.com/blog/meta-llama-3-1/') | |
data['Model Size'].append('70') | |
data['Original Name'].append('Qwen2_5_0_5B_Instruct') | |
data['Proper Display Name'].append('Qwen2.5-0.5B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct') | |
data['Model Size'].append('0.5') | |
data['Original Name'].append('Qwen2_5_1_5B_Instruct') | |
data['Proper Display Name'].append('Qwen2.5-1.5B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct') | |
data['Model Size'].append('1.5') | |
data['Original Name'].append('Qwen2_5_3B_Instruct') | |
data['Proper Display Name'].append('Qwen2.5-3B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-3B-Instruct') | |
data['Model Size'].append('3') | |
data['Original Name'].append('Qwen2_5_7B_Instruct') | |
data['Proper Display Name'].append('Qwen2.5-7B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-7B-Instruct') | |
data['Model Size'].append('7') | |
data['Original Name'].append('Qwen2_5_14B_Instruct') | |
data['Proper Display Name'].append('Qwen2.5-14B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-14B-Instruct') | |
data['Model Size'].append('14') | |
data['Original Name'].append('Qwen2_5_32B_Instruct') | |
data['Proper Display Name'].append('Qwen2.5-32B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-32B-Instruct') | |
data['Model Size'].append('32') | |
data['Original Name'].append('Qwen2_5_72B_Instruct') | |
data['Proper Display Name'].append('Qwen2.5-72B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2.5-72B-Instruct') | |
data['Model Size'].append('72') | |
data['Original Name'].append('Qwen2-7B-Instruct') | |
data['Proper Display Name'].append('Qwen2-7B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2-7B-Instruct') | |
data['Model Size'].append('7') | |
data['Original Name'].append('Qwen2-72B-Instruct') | |
data['Proper Display Name'].append('Qwen2-72B-Instruct') | |
data['Link'].append('https://huggingface.co/Qwen/Qwen2-72B-Instruct') | |
data['Model Size'].append('72') | |
data['Original Name'].append('SeaLLMs-v3-7B-Chat') | |
data['Proper Display Name'].append('SeaLLMs-v3-7B-Chat') | |
data['Link'].append('https://arxiv.org/abs/2407.19672') | |
data['Model Size'].append('7') | |
data['Original Name'].append('MERALiON-LLaMA-3-8B-Chat') | |
data['Proper Display Name'].append('MERALiON-LLaMA-3-8B-Chat') | |
data['Link'].append('https://huggingface.co/spaces/SeaEval/SeaEval_Leaderboard') | |
data['Model Size'].append('8') | |
data['Original Name'].append('gemma2-9b-cpt-sea-lionv3-instruct') | |
data['Proper Display Name'].append('Gemma2-9B-CPT-SEA-Lion-v3-Instruct') | |
data['Link'].append('https://huggingface.co/aisingapore/gemma2-9b-cpt-sea-lionv3-instruct') | |
data['Model Size'].append('9') | |
data['Original Name'].append('llama3-8b-cpt-sea-lionv2.1-instruct') | |
data['Proper Display Name'].append('Llama3-8B-CPT-SEA-LION-v2.1-Instruct') | |
data['Link'].append('https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct') | |
data['Model Size'].append('8') | |
data['Original Name'].append('Gemma-2-9b-it-sg-ultrachat-sft') | |
data['Proper Display Name'].append('Gemma-2-9B-IT-SG-Ultrachat-SFT') | |
data['Link'].append('https://huggingface.co/google/gemma-2-9b-it-sg-ultrachat-sft') | |
data['Model Size'].append('9') | |
def get_dataframe(): | |
""" | |
Returns a DataFrame with the data and drops rows with missing values. | |
""" | |
df = pd.DataFrame(data) | |
return df.dropna(axis=0) | |
# cross_openhermes_llama3_8b_4096_inst | |
# Cross-OpenHermes-Llama-3-8B-4096-Inst | |
# https://huggingface.co/spaces/SeaEval/SeaEval_Leaderboard | |