Spaces:
Runtime error
Runtime error
File size: 3,156 Bytes
a8ede2f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 |
import os
from datetime import datetime, timezone
from huggingface_hub import HfApi
from huggingface_hub.hf_api import ModelInfo
API = HfApi()
LLAMAS = [
"huggingface/llama-7b",
"huggingface/llama-13b",
"huggingface/llama-30b",
"huggingface/llama-65b",
]
KOALA_LINK = "https://huggingface.co/TheBloke/koala-13B-HF"
VICUNA_LINK = "https://huggingface.co/lmsys/vicuna-13b-delta-v1.1"
OASST_LINK = "https://huggingface.co/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5"
DOLLY_LINK = "https://huggingface.co/databricks/dolly-v2-12b"
MODEL_PAGE = "https://huggingface.co/models"
LLAMA_LINK = "https://ai.facebook.com/blog/large-language-model-llama-meta-ai/"
VICUNA_LINK = "https://huggingface.co/CarperAI/stable-vicuna-13b-delta"
ALPACA_LINK = "https://crfm.stanford.edu/2023/03/13/alpaca.html"
def model_hyperlink(link, model_name):
return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>'
def make_clickable_model(model_name):
link = f"https://huggingface.co/{model_name}"
if model_name in LLAMAS:
link = LLAMA_LINK
model_name = model_name.split("/")[1]
elif model_name == "HuggingFaceH4/stable-vicuna-13b-2904":
link = VICUNA_LINK
model_name = "stable-vicuna-13b"
elif model_name == "HuggingFaceH4/llama-7b-ift-alpaca":
link = ALPACA_LINK
model_name = "alpaca-13b"
if model_name == "dolly-12b":
link = DOLLY_LINK
elif model_name == "vicuna-13b":
link = VICUNA_LINK
elif model_name == "koala-13b":
link = KOALA_LINK
elif model_name == "oasst-12b":
link = OASST_LINK
details_model_name = model_name.replace("/", "__")
details_link = f"https://huggingface.co/datasets/open-llm-leaderboard/details_{details_model_name}"
if not bool(os.getenv("DEBUG", "False")):
# We only add these checks when not debugging, as they are extremely slow
print(f"details_link: {details_link}")
try:
check_path = list(
API.list_files_info(
repo_id=f"open-llm-leaderboard/details_{details_model_name}",
paths="README.md",
repo_type="dataset",
)
)
print(f"check_path: {check_path}")
except Exception as err:
# No details repo for this model
print(f"No details repo for this model: {err}")
return model_hyperlink(link, model_name)
return model_hyperlink(link, model_name) + " " + model_hyperlink(details_link, "📑")
def styled_error(error):
return f"<p style='color: red; font-size: 20px; text-align: center;'>{error}</p>"
def styled_warning(warn):
return f"<p style='color: orange; font-size: 20px; text-align: center;'>{warn}</p>"
def styled_message(message):
return f"<p style='color: green; font-size: 20px; text-align: center;'>{message}</p>"
def has_no_nan_values(df, columns):
return df[columns].notna().all(axis=1)
def has_nan_values(df, columns):
return df[columns].isna().any(axis=1)
|