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import gradio as gr |
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import requests |
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import pandas as pd |
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import plotly.graph_objects as go |
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from datetime import datetime |
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import os |
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import asyncio |
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import aiohttp |
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HF_TOKEN = os.getenv("HF_TOKEN") |
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target_models = { |
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"K-intelligence/Midm-2.0-Mini-Instruct": "https://huggingface.co/K-intelligence/Midm-2.0-Mini-Instruct", |
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"K-intelligence/Midm-2.0-Base-Instruct": "https://huggingface.co/K-intelligence/Midm-2.0-Base-Instruct", |
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"VIDraft/Qwen3-R1984-30B-A3B": "https://huggingface.co/VIDraft/Qwen3-R1984-30B-A3B", |
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"VIDraft/Gemma-3-R1984-1B": "https://huggingface.co/VIDraft/Gemma-3-R1984-1B", |
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"VIDraft/Qwen3-R1984-0.6B": "https://huggingface.co/VIDraft/Qwen3-R1984-0.6B", |
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"VIDraft/Qwen3-R1984-4B": "https://huggingface.co/VIDraft/Qwen3-R1984-4B", |
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"seawolf2357/kim-korea": "https://huggingface.co/seawolf2357/kim-korea", |
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"seawolf2357/audrey-hepburn": "https://huggingface.co/seawolf2357/audrey-hepburn", |
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"seawolf2357/test-bag4": "https://huggingface.co/seawolf2357/test-bag4", |
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"seawolf2357/blingone-lani": "https://huggingface.co/seawolf2357/blingone-lani", |
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"seawolf2357/test-hood": "https://huggingface.co/seawolf2357/test-hood", |
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"seawolf2357/shinyoonbok": "https://huggingface.co/seawolf2357/shinyoonbok", |
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"openfree/lee-min-ho": "https://huggingface.co/openfree/lee-min-ho", |
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"openfree/bruce-lee": "https://huggingface.co/openfree/bruce-lee", |
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"openfree/leonardo-dicaprio": "https://huggingface.co/openfree/leonardo-dicaprio", |
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"seawolf2357/nsfw-detection": "https://huggingface.co/seawolf2357/nsfw-detection", |
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"Heartsync/Flux-NSFW-uncensored": "https://huggingface.co/Heartsync/Flux-NSFW-uncensored", |
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"Heartsync/NSFW-Uncensored": "https://huggingface.co/Heartsync/NSFW-Uncensored", |
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"ginipick/QwQ-32B-NF4": "https://huggingface.co/ginipick/QwQ-32B-NF4", |
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"openfree/winslow-homer": "https://huggingface.co/openfree/winslow-homer", |
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"openfree/van-gogh": "https://huggingface.co/openfree/van-gogh", |
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"openfree/paul-cezanne": "https://huggingface.co/openfree/paul-cezanne", |
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"openfree/pierre-auguste-renoir": "https://huggingface.co/openfree/pierre-auguste-renoir", |
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"fantos/QwQ-32B-bnb-4bit": "https://huggingface.co/fantos/QwQ-32B-bnb-4bit", |
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"openfree/myt-flux-fantasy": "https://huggingface.co/openfree/myt-flux-fantasy", |
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"ginipick/Gemma-3-R1984-4B": "https://huggingface.co/ginipick/Gemma-3-R1984-4B", |
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"VIDraft/Gemma-3-R1984-4B": "https://huggingface.co/VIDraft/Gemma-3-R1984-4B", |
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"ginigen/Private-BitSix-Mistral-Small-3.1-24B-Instruct-2503": "https://huggingface.co/ginigen/Private-BitSix-Mistral-Small-3.1-24B-Instruct-2503", |
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"openfree/QwQ-R1984-32B-Q4_K_M-GGUF": "https://huggingface.co/openfree/QwQ-R1984-32B-Q4_K_M-GGUF", |
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"openfree/QwQ-R1984-32B-Q8_0-GGUF": "https://huggingface.co/openfree/QwQ-R1984-32B-Q8_0-GGUF", |
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"VIDraft/QwQ-R1984-32B": "https://huggingface.co/VIDraft/QwQ-R1984-32B", |
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"openfree/QwQ-32B-Q8_0-GGUF": "https://huggingface.co/openfree/QwQ-32B-Q8_0-GGUF", |
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"openfree/QwQ-32B-Q4_K_M-GGUF": "https://huggingface.co/openfree/QwQ-32B-Q4_K_M-GGUF", |
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"openfree/Llama-3_3-Nemotron-Super-49B-v1-Q4_K_M-GGUF": "https://huggingface.co/openfree/Llama-3_3-Nemotron-Super-49B-v1-Q4_K_M-GGUF", |
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"openfree/Llama-3_3-Nemotron-Super-49B-v1-Q6_K-GGUF": "https://huggingface.co/openfree/Llama-3_3-Nemotron-Super-49B-v1-Q6_K-GGUF", |
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"openfree/Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M-GGUF": "https://huggingface.co/openfree/Mistral-Small-3.1-24B-Instruct-2503-Q4_K_M-GGUF", |
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"openfree/Mistral-Small-3.1-24B-Instruct-2503-Q6_K-GGUF": "https://huggingface.co/openfree/Mistral-Small-3.1-24B-Instruct-2503-Q6_K-GGUF", |
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"openfree/Mistral-Small-3.1-24B-Instruct-2503-Q8_0-GGUF": "https://huggingface.co/openfree/Mistral-Small-3.1-24B-Instruct-2503-Q8_0-GGUF", |
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"openfree/Qwen2.5-VL-32B-Instruct-Q4_K_M-GGUF": "https://huggingface.co/openfree/Qwen2.5-VL-32B-Instruct-Q4_K_M-GGUF", |
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"openfree/Qwen2.5-VL-32B-Instruct-Q8_0-GGUF": "https://huggingface.co/openfree/Qwen2.5-VL-32B-Instruct-Q8_0-GGUF", |
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"openfree/morgenster": "https://huggingface.co/openfree/morgenstern", |
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"openfree/Gemma-3-R1984-27B-Q4_K_M-GGUF": "https://huggingface.co/openfree/Gemma-3-R1984-27B-Q4_K_M-GGUF", |
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"VIDraft/Gemma-3-R1984-12B": "https://huggingface.co/VIDraft/Gemma-3-R1984-12B", |
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"openfree/Gemma-3-R1984-12B-Q8_0-GGUF": "https://huggingface.co/openfree/Gemma-3-R1984-12B-Q8_0-GGUF", |
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"openfree/Gemma-3-R1984-12B-Q6_K-GGUF": "https://huggingface.co/openfree/Gemma-3-R1984-12B-Q6_K-GGUF", |
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"openfree/Gemma-3-R1984-27B-Q8_0-GGUF": "https://huggingface.co/openfree/Gemma-3-R1984-27B-Q8_0-GGUF", |
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"openfree/Gemma-3-R1984-27B-Q6_K-GGUF": "https://huggingface.co/openfree/Gemma-3-R1984-27B-Q6_K-GGUF", |
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"openfree/flux-chatgpt-ghibli-lora": "https://huggingface.co/openfree/flux-chatgpt-ghibli-lora", |
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"openfree/string-sandal": "https://huggingface.co/openfree/string-sandal", |
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"openfree/voice-crown-necklace": "https://huggingface.co/openfree/voice-crown-necklace", |
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"openfree/boris-yeltsin": "https://huggingface.co/openfree/boris-yeltsin", |
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"VIDraft/Gemma-3-R1984-27B": "https://huggingface.co/VIDraft/Gemma-3-R1984-27B", |
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"openfree/president-k-dj": "https://huggingface.co/openfree/president-k-dj", |
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"openfree/president-pjh": "https://huggingface.co/openfree/president-pjh", |
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"openfree/flux-lora-korea-palace": "https://huggingface.co/openfree/flux-lora-korea-palace", |
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"seawolf2357/hanbok": "https://huggingface.co/seawolf2357/hanbok", |
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"seawolf2357/ntower": "https://huggingface.co/seawolf2357/ntower", |
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"openfree/pepe": "https://huggingface.co/openfree/pepe", |
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"openfree/korea-president-yoon": "https://huggingface.co/openfree/korea-president-yoon", |
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"seawolf2357/flux-lora-military-artillery-k9": "https://huggingface.co/seawolf2357/flux-lora-military-artillery-k9", |
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"openfree/claude-monet": "https://huggingface.co/openfree/claude-monet", |
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"ginipick/flux-lora-eric-cat": "https://huggingface.co/ginipick/flux-lora-eric-cat", |
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"seawolf2357/flux-lora-car-rolls-royce": "https://huggingface.co/seawolf2357/flux-lora-car-rolls-royce", |
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"kanana-nano-2.1b-embedding": "https://huggingface.co/kakaocorp/kanana-nano-2.1b-embedding", |
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"kakaocorp/kanana-nano-2.1b-base": "https://huggingface.co/kakaocorp/kanana-nano-2.1b-base", |
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"kakaocorp/kanana-nano-2.1b-instruct": "https://huggingface.co/kakaocorp/kanana-nano-2.1b-instruct", |
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"JungZoona/T3Q-qwen2.5-14b-v1.0-e3": "https://huggingface.co/JungZoona/T3Q-qwen2.5-14b-v1.0-e3", |
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"OnomaAIResearch/Illustrious-XL-v2.0": "https://huggingface.co/OnomaAIResearch/Illustrious-XL-v2.0", |
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"OnomaAIResearch/Illustrious-Lumina-v0.03": "https://huggingface.co/OnomaAIResearch/Illustrious-Lumina-v0.03", |
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"naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B": "https://huggingface.co/naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B", |
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"naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-1.5B": "https://huggingface.co/naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-1.5B", |
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"naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B": "https://huggingface.co/naver-hyperclovax/HyperCLOVAX-SEED-Vision-Instruct-3B", |
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"dnotitia/DNA-R1": "https://huggingface.co/dnotitia/DNA-R1 ", |
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"LGAI-EXAONE/EXAONE-3.5-32B-Instruct": "https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-32B-Instruct", |
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"LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct": "https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct", |
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"LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct": "https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct", |
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"moreh/Llama-3-Motif-102B-Instruct": "https://huggingface.co/moreh/Llama-3-Motif-102B-Instruct", |
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"OnomaAIResearch/Illustrious-xl-early-release-v0": "https://huggingface.co/OnomaAIResearch/Illustrious-xl-early-release-v0", |
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"upstage/solar-pro-preview-instruct": "https://huggingface.co/upstage/solar-pro-preview-instruct", |
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"NCSOFT/VARCO-VISION-14B": "https://huggingface.co/NCSOFT/VARCO-VISION-14B", |
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"NCSOFT/Llama-VARCO-8B-Instruct": "https://huggingface.co/NCSOFT/Llama-VARCO-8B-Instruct", |
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"NCSOFT/VARCO-VISION-14B-HF": "https://huggingface.co/NCSOFT/VARCO-VISION-14B-HF", |
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"KAERI-MLP/llama-3.1-Korean-AtomicGPT-Bllossom-8B": "https://huggingface.co/KAERI-MLP/llama-3.1-Korean-AtomicGPT-Bllossom-8B", |
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"dnotitia/Llama-DNA-1.0-8B-Instruct": "https://huggingface.co/dnotitia/Llama-DNA-1.0-8B-Instruct", |
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"Bllossom/llama-3.2-Korean-Bllossom-3B": "https://huggingface.co/Bllossom/llama-3.2-Korean-Bllossom-3B", |
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"kakaocorp/kanana-nano-2.1b-base": "https://huggingface.co/kakaocorp/kanana-nano-2.1b-base", |
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"LGAI-EXAONE/EXAONE-Deep-32B": "https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-32B", |
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"LGAI-EXAONE/EXAONE-Deep-2.4B": "https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-2.4B", |
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"LGAI-EXAONE/EXAONE-Deep-7.8B": "https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-7.8B", |
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"OLAResearch/OLAF2-14B": "https://huggingface.co/OLAResearch/OLAF2-14B", |
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"moreh/Llama-3-Motif-102B": "https://huggingface.co/moreh/Llama-3-Motif-102B", |
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"moreh/MoMo-72B-lora-1.8.7-DPO": "https://huggingface.co/moreh/MoMo-72B-lora-1.8.7-DPO", |
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"moreh/Llama-3-Motif-102B-Instruct": "https://huggingface.co/moreh/Llama-3-Motif-102B-Instruct", |
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"OnomaAIResearch/Illustrious-xl-early-release-v0": "https://huggingface.co/OnomaAIResearch/Illustrious-xl-early-release-v0", |
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"OnomaAIResearch/Illustrious-XL-v1.0": "https://huggingface.co/OnomaAIResearch/Illustrious-XL-v1.0", |
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"OnomaAIResearch/Illustrious-XL-v1.1": "https://huggingface.co/OnomaAIResearch/Illustrious-XL-v1.1", |
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"unidocs/llama-3.1-8b-komedic-instruct": "https://huggingface.co/unidocs/llama-3.1-8b-komedic-instruct", |
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"unidocs/llama-3.2-3b-komedic-instruct": "https://huggingface.co/unidocs/llama-3.2-3b-komedic-instruct", |
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"etri-lirs/eagle-3b-preview": "https://huggingface.co/etri-lirs/eagle-3b-preview", |
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"kakaobrain/kogpt": "https://huggingface.co/kakaobrain/kogpt", |
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"nari-labs/Dia-1.6B": "https://huggingface.co/nari-labs/Dia-1.6B", |
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"Saxo/Linkbricks-Horizon-AI-Korean-Gemma-2-sft-dpo-27B": "https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Gemma-2-sft-dpo-27B", |
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"AALF/gemma-2-27b-it-SimPO-37K": "https://huggingface.co/AALF/gemma-2-27b-it-SimPO-37K", |
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"nbeerbower/mistral-nemo-wissenschaft-12B": "https://huggingface.co/nbeerbower/mistral-nemo-wissenschaft-12B", |
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"Saxo/Linkbricks-Horizon-AI-Korean-Mistral-Nemo-sft-dpo-12B": "https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Mistral-Nemo-sft-dpo-12B", |
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"princeton-nlp/gemma-2-9b-it-SimPO": "https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO", |
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"migtissera/Tess-v2.5-Gemma-2-27B-alpha": "https://huggingface.co/migtissera/Tess-v2.5-Gemma-2-27B-alpha", |
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"DeepMount00/Llama-3.1-8b-Ita": "https://huggingface.co/DeepMount00/Llama-3.1-8b-Ita", |
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"cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b": "https://huggingface.co/cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b", |
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"ai-human-lab/EEVE-Korean_Instruct-10.8B-expo": "https://huggingface.co/ai-human-lab/EEVE-Korean_Instruct-10.8B-expo", |
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"VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct": "https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct", |
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"Saxo/Linkbricks-Horizon-AI-Korean-llama-3.1-sft-dpo-8B": "https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-llama-3.1-sft-dpo-8B", |
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"AIDX-ktds/ktdsbaseLM-v0.12-based-on-openchat3.5": "https://huggingface.co/AIDX-ktds/ktdsbaseLM-v0.12-based-on-openchat3.5", |
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"mlabonne/Daredevil-8B-abliterated": "https://huggingface.co/mlabonne/Daredevil-8B-abliterated", |
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"ENERGY-DRINK-LOVE/eeve_dpo-v3": "https://huggingface.co/ENERGY-DRINK-LOVE/eeve_dpo-v3", |
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"migtissera/Trinity-2-Codestral-22B": "https://huggingface.co/migtissera/Trinity-2-Codestral-22B", |
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"Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-rlhf-dpo-8B": "https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-rlhf-dpo-8B", |
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"mlabonne/Daredevil-8B-abliterated-dpomix": "https://huggingface.co/mlabonne/Daredevil-8B-abliterated-dpomix", |
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"yanolja/EEVE-Korean-Instruct-10.8B-v1.0": "https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0", |
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"vicgalle/Configurable-Llama-3.1-8B-Instruct": "https://huggingface.co/vicgalle/Configurable-Llama-3.1-8B-Instruct", |
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"T3Q-LLM/T3Q-LLM1-sft1.0-dpo1.0": "https://huggingface.co/T3Q-LLM/T3Q-LLM1-sft1.0-dpo1.0", |
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"Eurdem/Defne-llama3.1-8B": "https://huggingface.co/Eurdem/Defne-llama3.1-8B", |
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"BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B": "https://huggingface.co/BAAI/Infinity-Instruct-7M-Gen-Llama3_1-8B", |
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"BAAI/Infinity-Instruct-3M-0625-Llama3-8B": "https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Llama3-8B", |
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"T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0": "https://huggingface.co/T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0", |
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"BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B": "https://huggingface.co/BAAI/Infinity-Instruct-7M-0729-Llama3_1-8B", |
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"mightbe/EEVE-10.8B-Multiturn": "https://huggingface.co/mightbe/EEVE-10.8B-Multiturn", |
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"hyemijo/omed-llama3.1-8b": "https://huggingface.co/hyemijo/omed-llama3.1-8b", |
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"yanolja/Bookworm-10.7B-v0.4-DPO": "https://huggingface.co/yanolja/Bookworm-10.7B-v0.4-DPO", |
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"algograp-Inc/algograpV4": "https://huggingface.co/algograp-Inc/algograpV4", |
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"lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75": "https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75", |
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"chihoonlee10/T3Q-LLM-MG-DPO-v1.0": "https://huggingface.co/chihoonlee10/T3Q-LLM-MG-DPO-v1.0", |
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"vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B": "https://huggingface.co/vicgalle/Configurable-Hermes-2-Pro-Llama-3-8B", |
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"RLHFlow/LLaMA3-iterative-DPO-final": "https://huggingface.co/RLHFlow/LLaMA3-iterative-DPO-final", |
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"SEOKDONG/llama3.1_korean_v0.1_sft_by_aidx": "https://huggingface.co/SEOKDONG/llama3.1_korean_v0.1_sft_by_aidx", |
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"spow12/Ko-Qwen2-7B-Instruct": "https://huggingface.co/spow12/Ko-Qwen2-7B-Instruct", |
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"BAAI/Infinity-Instruct-3M-0625-Qwen2-7B": "https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Qwen2-7B", |
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"lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half": "https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-half", |
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"T3Q-LLM/T3Q-LLM1-CV-v2.0": "https://huggingface.co/T3Q-LLM/T3Q-LLM1-CV-v2.0", |
|
|
"migtissera/Trinity-2-Codestral-22B-v0.2": "https://huggingface.co/migtissera/Trinity-2-Codestral-22B-v0.2", |
|
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"sinjy1203/EEVE-Korean-Instruct-10.8B-v1.0-Grade-Retrieval": "https://huggingface.co/sinjy1203/EEVE-Korean-Instruct-10.8B-v1.0-Grade-Retrieval", |
|
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"MaziyarPanahi/Llama-3-8B-Instruct-v0.10": "https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.10", |
|
|
"MaziyarPanahi/Llama-3-8B-Instruct-v0.9": "https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.9", |
|
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"zhengr/MixTAO-7Bx2-MoE-v8.1": "https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1", |
|
|
"TIGER-Lab/MAmmoTH2-8B-Plus": "https://huggingface.co/TIGER-Lab/MAmmoTH2-8B-Plus", |
|
|
"OpenBuddy/openbuddy-qwen1.5-14b-v21.1-32k": "https://huggingface.co/OpenBuddy/openbuddy-qwen1.5-14b-v21.1-32k", |
|
|
"haoranxu/Llama-3-Instruct-8B-CPO-SimPO": "https://huggingface.co/haoranxu/Llama-3-Instruct-8B-CPO-SimPO", |
|
|
"Weyaxi/Einstein-v7-Qwen2-7B": "https://huggingface.co/Weyaxi/Einstein-v7-Qwen2-7B", |
|
|
"DKYoon/kosolar-hermes-test": "https://huggingface.co/DKYoon/kosolar-hermes-test", |
|
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"vilm/Quyen-Pro-v0.1": "https://huggingface.co/vilm/Quyen-Pro-v0.1", |
|
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"chihoonlee10/T3Q-LLM-MG-v1.0": "https://huggingface.co/chihoonlee10/T3Q-LLM-MG-v1.0", |
|
|
"lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25": "https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top25", |
|
|
"ai-human-lab/EEVE-Korean-10.8B-RAFT": "https://huggingface.co/ai-human-lab/EEVE-Korean-10.8B-RAFT", |
|
|
"princeton-nlp/Llama-3-Base-8B-SFT-RDPO": "https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT-RDPO", |
|
|
"MaziyarPanahi/Llama-3-8B-Instruct-v0.8": "https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.8", |
|
|
"chihoonlee10/T3Q-ko-solar-dpo-v7.0": "https://huggingface.co/chihoonlee10/T3Q-ko-solar-dpo-v7.0", |
|
|
"jondurbin/bagel-8b-v1.0": "https://huggingface.co/jondurbin/bagel-8b-v1.0", |
|
|
"DeepMount00/Llama-3-8b-Ita": "https://huggingface.co/DeepMount00/Llama-3-8b-Ita", |
|
|
"VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct": "https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct", |
|
|
"princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2": "https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-ORPO-v0.2", |
|
|
"AIDX-ktds/ktdsbaseLM-v0.11-based-on-openchat3.5": "https://huggingface.co/AIDX-ktds/ktdsbaseLM-v0.11-based-on-openchat3.5", |
|
|
"princeton-nlp/Llama-3-Base-8B-SFT-KTO": "https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT-KTO", |
|
|
"maywell/Mini_Synatra_SFT": "https://huggingface.co/maywell/Mini_Synatra_SFT", |
|
|
"princeton-nlp/Llama-3-Base-8B-SFT-ORPO": "https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT-ORPO", |
|
|
"princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2": "https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-CPO-v0.2", |
|
|
"spow12/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat": "https://huggingface.co/spow12/Qwen2-7B-ko-Instruct-orpo-ver_2.0_wo_chat", |
|
|
"princeton-nlp/Llama-3-Base-8B-SFT-DPO": "https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT-DPO", |
|
|
"princeton-nlp/Llama-3-Instruct-8B-ORPO": "https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-ORPO", |
|
|
"lcw99/llama-3-10b-it-kor-extented-chang": "https://huggingface.co/lcw99/llama-3-10b-it-kor-extented-chang", |
|
|
"migtissera/Llama-3-8B-Synthia-v3.5": "https://huggingface.co/migtissera/Llama-3-8B-Synthia-v3.5", |
|
|
"megastudyedu/M-SOLAR-10.7B-v1.4-dpo": "https://huggingface.co/megastudyedu/M-SOLAR-10.7B-v1.4-dpo", |
|
|
"T3Q-LLM/T3Q-LLM-solar10.8-sft-v1.0": "https://huggingface.co/T3Q-LLM/T3Q-LLM-solar10.8-sft-v1.0", |
|
|
"maywell/Synatra-10.7B-v0.4": "https://huggingface.co/maywell/Synatra-10.7B-v0.4", |
|
|
"nlpai-lab/KULLM3": "https://huggingface.co/nlpai-lab/KULLM3", |
|
|
"abacusai/Llama-3-Smaug-8B": "https://huggingface.co/abacusai/Llama-3-Smaug-8B", |
|
|
"gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.1": "https://huggingface.co/gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.1", |
|
|
"BAAI/Infinity-Instruct-3M-0625-Mistral-7B": "https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Mistral-7B", |
|
|
"openchat/openchat_3.5": "https://huggingface.co/openchat/openchat_3.5", |
|
|
"T3Q-LLM/T3Q-LLM1-v2.0": "https://huggingface.co/T3Q-LLM/T3Q-LLM1-v2.0", |
|
|
"T3Q-LLM/T3Q-LLM1-CV-v1.0": "https://huggingface.co/T3Q-LLM/T3Q-LLM1-CV-v1.0", |
|
|
"ONS-AI-RESEARCH/ONS-SOLAR-10.7B-v1.1": "https://huggingface.co/ONS-AI-RESEARCH/ONS-SOLAR-10.7B-v1.1", |
|
|
"macadeliccc/Samantha-Qwen-2-7B": "https://huggingface.co/macadeliccc/Samantha-Qwen-2-7B", |
|
|
"openchat/openchat-3.5-0106": "https://huggingface.co/openchat/openchat-3.5-0106", |
|
|
"NousResearch/Nous-Hermes-2-SOLAR-10.7B": "https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B", |
|
|
"UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1": "https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter1", |
|
|
"MTSAIR/multi_verse_model": "https://huggingface.co/MTSAIR/multi_verse_model", |
|
|
"gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.0": "https://huggingface.co/gwonny/nox-solar-10.7b-v4-kolon-ITD-5-v2.0", |
|
|
"VIRNECT/llama-3-Korean-8B": "https://huggingface.co/VIRNECT/llama-3-Korean-8B", |
|
|
"ENERGY-DRINK-LOVE/SOLAR_merge_DPOv3": "https://huggingface.co/ENERGY-DRINK-LOVE/SOLAR_merge_DPOv3", |
|
|
"SeaLLMs/SeaLLMs-v3-7B-Chat": "https://huggingface.co/SeaLLMs/SeaLLMs-v3-7B-Chat", |
|
|
"VIRNECT/llama-3-Korean-8B-V2": "https://huggingface.co/VIRNECT/llama-3-Korean-8B-V2", |
|
|
"MLP-KTLim/llama-3-Korean-Bllossom-8B": "https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B", |
|
|
"Magpie-Align/Llama-3-8B-Magpie-Align-v0.3": "https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Align-v0.3", |
|
|
"cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2": "https://huggingface.co/cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2", |
|
|
"SkyOrbis/SKY-Ko-Llama3-8B-lora": "https://huggingface.co/SkyOrbis/SKY-Ko-Llama3-8B-lora", |
|
|
"4yo1/llama3-eng-ko-8b-sl5": "https://huggingface.co/4yo1/llama3-eng-ko-8b-sl5", |
|
|
"kimwooglae/WebSquareAI-Instruct-llama-3-8B-v0.5.39": "https://huggingface.co/kimwooglae/WebSquareAI-Instruct-llama-3-8B-v0.5.39", |
|
|
"ONS-AI-RESEARCH/ONS-SOLAR-10.7B-v1.2": "https://huggingface.co/ONS-AI-RESEARCH/ONS-SOLAR-10.7B-v1.2", |
|
|
"lcw99/llama-3-10b-it-kor-extented-chang-pro8": "https://huggingface.co/lcw99/llama-3-10b-it-kor-extented-chang-pro8", |
|
|
"BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B": "https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B", |
|
|
"migtissera/Tess-2.0-Llama-3-8B": "https://huggingface.co/migtissera/Tess-2.0-Llama-3-8B", |
|
|
"BAAI/Infinity-Instruct-3M-0613-Mistral-7B": "https://huggingface.co/BAAI/Infinity-Instruct-3M-0613-Mistral-7B", |
|
|
"yeonwoo780/cydinfo-llama3-8b-lora-v01": "https://huggingface.co/yeonwoo780/cydinfo-llama3-8b-lora-v01", |
|
|
"vicgalle/ConfigurableSOLAR-10.7B": "https://huggingface.co/vicgalle/ConfigurableSOLAR-10.7B", |
|
|
"chihoonlee10/T3Q-ko-solar-jo-v1.0": "https://huggingface.co/chihoonlee10/T3Q-ko-solar-jo-v1.0", |
|
|
"Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.4": "https://huggingface.co/Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.4", |
|
|
"Edentns/DataVortexS-10.7B-dpo-v1.0": "https://huggingface.co/Edentns/DataVortexS-10.7B-dpo-v1.0", |
|
|
"SJ-Donald/SJ-SOLAR-10.7b-DPO": "https://huggingface.co/SJ-Donald/SJ-SOLAR-10.7b-DPO", |
|
|
"lemon-mint/gemma-ko-7b-it-v0.40": "https://huggingface.co/lemon-mint/gemma-ko-7b-it-v0.40", |
|
|
"GyuHyeonWkdWkdMan/naps-llama-3.1-8b-instruct-v0.3": "https://huggingface.co/GyuHyeonWkdWkdMan/naps-llama-3.1-8b-instruct-v0.3", |
|
|
"hyeogi/SOLAR-10.7B-v1.5": "https://huggingface.co/hyeogi/SOLAR-10.7B-v1.5", |
|
|
"etri-xainlp/llama3-8b-dpo_v1": "https://huggingface.co/etri-xainlp/llama3-8b-dpo_v1", |
|
|
"LDCC/LDCC-SOLAR-10.7B": "https://huggingface.co/LDCC/LDCC-SOLAR-10.7B", |
|
|
"chlee10/T3Q-Llama3-8B-Inst-sft1.0": "https://huggingface.co/chlee10/T3Q-Llama3-8B-Inst-sft1.0", |
|
|
"lemon-mint/gemma-ko-7b-it-v0.41": "https://huggingface.co/lemon-mint/gemma-ko-7b-it-v0.41", |
|
|
"chlee10/T3Q-Llama3-8B-sft1.0-dpo1.0": "https://huggingface.co/chlee10/T3Q-Llama3-8B-sft1.0-dpo1.0", |
|
|
"maywell/Synatra-7B-Instruct-v0.3-pre": "https://huggingface.co/maywell/Synatra-7B-Instruct-v0.3-pre", |
|
|
"UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2": "https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter2", |
|
|
"hwkwon/S-SOLAR-10.7B-v1.4": "https://huggingface.co/hwkwon/S-SOLAR-10.7B-v1.4", |
|
|
"12thD/ko-Llama-3-8B-sft-v0.3": "https://huggingface.co/12thD/ko-Llama-3-8B-sft-v0.3", |
|
|
"hkss/hk-SOLAR-10.7B-v1.4": "https://huggingface.co/hkss/hk-SOLAR-10.7B-v1.4", |
|
|
"lookuss/test-llilu": "https://huggingface.co/lookuss/test-llilu", |
|
|
"chihoonlee10/T3Q-ko-solar-dpo-v3.0": "https://huggingface.co/chihoonlee10/T3Q-ko-solar-dpo-v3.0", |
|
|
"chihoonlee10/T3Q-ko-solar-dpo-v1.0": "https://huggingface.co/chihoonlee10/T3Q-ko-solar-dpo-v1.0", |
|
|
"lcw99/llama-3-10b-wiki-240709-f": "https://huggingface.co/lcw99/llama-3-10b-wiki-240709-f", |
|
|
"Edentns/DataVortexS-10.7B-v0.4": "https://huggingface.co/Edentns/DataVortexS-10.7B-v0.4", |
|
|
"princeton-nlp/Llama-3-Instruct-8B-KTO": "https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-KTO", |
|
|
"spow12/kosolar_4.1_sft": "https://huggingface.co/spow12/kosolar_4.1_sft", |
|
|
"natong19/Qwen2-7B-Instruct-abliterated": "https://huggingface.co/natong19/Qwen2-7B-Instruct-abliterated", |
|
|
"megastudyedu/ME-dpo-7B-v1.1": "https://huggingface.co/megastudyedu/ME-dpo-7B-v1.1", |
|
|
"01-ai/Yi-1.5-9B-Chat-16K": "https://huggingface.co/01-ai/Yi-1.5-9B-Chat-16K", |
|
|
"Edentns/DataVortexS-10.7B-dpo-v0.1": "https://huggingface.co/Edentns/DataVortexS-10.7B-dpo-v0.1", |
|
|
"Alphacode-AI/AlphaMist7B-slr-v4-slow": "https://huggingface.co/Alphacode-AI/AlphaMist7B-slr-v4-slow", |
|
|
"chihoonlee10/T3Q-ko-solar-sft-dpo-v1.0": "https://huggingface.co/chihoonlee10/T3Q-ko-solar-sft-dpo-v1.0", |
|
|
"hwkwon/S-SOLAR-10.7B-v1.1": "https://huggingface.co/hwkwon/S-SOLAR-10.7B-v1.1", |
|
|
"DopeorNope/Dear_My_best_Friends-13B": "https://huggingface.co/DopeorNope/Dear_My_best_Friends-13B", |
|
|
"GyuHyeonWkdWkdMan/NAPS-llama-3.1-8b-instruct-v0.3.2": "https://huggingface.co/GyuHyeonWkdWkdMan/NAPS-llama-3.1-8b-instruct-v0.3.2", |
|
|
"PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct": "https://huggingface.co/PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct", |
|
|
"vicgalle/ConfigurableHermes-7B": "https://huggingface.co/vicgalle/ConfigurableHermes-7B", |
|
|
"maywell/PiVoT-10.7B-Mistral-v0.2": "https://huggingface.co/maywell/PiVoT-10.7B-Mistral-v0.2", |
|
|
"failspy/Meta-Llama-3-8B-Instruct-abliterated-v3": "https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3", |
|
|
"lemon-mint/gemma-ko-7b-instruct-v0.50": "https://huggingface.co/lemon-mint/gemma-ko-7b-instruct-v0.50", |
|
|
"ENERGY-DRINK-LOVE/leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT": "https://huggingface.co/ENERGY-DRINK-LOVE/leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT", |
|
|
"maywell/PiVoT-0.1-early": "https://huggingface.co/maywell/PiVoT-0.1-early", |
|
|
"hwkwon/S-SOLAR-10.7B-v1.3": "https://huggingface.co/hwkwon/S-SOLAR-10.7B-v1.3", |
|
|
"werty1248/Llama-3-Ko-8B-Instruct-AOG": "https://huggingface.co/werty1248/Llama-3-Ko-8B-Instruct-AOG", |
|
|
"Alphacode-AI/AlphaMist7B-slr-v2": "https://huggingface.co/Alphacode-AI/AlphaMist7B-slr-v2", |
|
|
"maywell/koOpenChat-sft": "https://huggingface.co/maywell/koOpenChat-sft", |
|
|
"lemon-mint/gemma-7b-openhermes-v0.80": "https://huggingface.co/lemon-mint/gemma-7b-openhermes-v0.80", |
|
|
"VIRNECT/llama-3-Korean-8B-r-v1": "https://huggingface.co/VIRNECT/llama-3-Korean-8B-r-v1", |
|
|
"Alphacode-AI/AlphaMist7B-slr-v1": "https://huggingface.co/Alphacode-AI/AlphaMist7B-slr-v1", |
|
|
"Loyola/Mistral-7b-ITmodel": "https://huggingface.co/Loyola/Mistral-7b-ITmodel", |
|
|
"VIRNECT/llama-3-Korean-8B-r-v2": "https://huggingface.co/VIRNECT/llama-3-Korean-8B-r-v2", |
|
|
"NLPark/AnFeng_v3.1-Avocet": "https://huggingface.co/NLPark/AnFeng_v3.1-Avocet", |
|
|
"maywell/Synatra_TbST11B_EP01": "https://huggingface.co/maywell/Synatra_TbST11B_EP01", |
|
|
"GritLM/GritLM-7B-KTO": "https://huggingface.co/GritLM/GritLM-7B-KTO", |
|
|
"01-ai/Yi-34B-Chat": "https://huggingface.co/01-ai/Yi-34B-Chat", |
|
|
"ValiantLabs/Llama3.1-8B-ShiningValiant2": "https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2", |
|
|
"princeton-nlp/Llama-3-Base-8B-SFT-CPO": "https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT-CPO", |
|
|
"hyokwan/hkcode_llama3_8b": "https://huggingface.co/hyokwan/hkcode_llama3_8b", |
|
|
"UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3": "https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3", |
|
|
"yuntaeyang/SOLAR-10.7B-Instructlora_sftt-v1.0": "https://huggingface.co/yuntaeyang/SOLAR-10.7B-Instructlora_sftt-v1.0", |
|
|
"juungwon/Llama-3-cs-LoRA": "https://huggingface.co/juungwon/Llama-3-cs-LoRA", |
|
|
"gangyeolkim/llama-3-chat": "https://huggingface.co/gangyeolkim/llama-3-chat", |
|
|
"mncai/llama2-13b-dpo-v3": "https://huggingface.co/mncai/llama2-13b-dpo-v3", |
|
|
"maywell/Synatra-Zephyr-7B-v0.01": "https://huggingface.co/maywell/Synatra-Zephyr-7B-v0.01", |
|
|
"ENERGY-DRINK-LOVE/leaderboard_inst_v1.3_deup_LDCC-SOLAR-10.7B_SFT": "https://huggingface.co/ENERGY-DRINK-LOVE/leaderboard_inst_v1.3_deup_LDCC-SOLAR-10.7B_SFT", |
|
|
"juungwon/Llama-3-constructionsafety-LoRA": "https://huggingface.co/juungwon/Llama-3-constructionsafety-LoRA", |
|
|
"princeton-nlp/Mistral-7B-Base-SFT-SimPO": "https://huggingface.co/princeton-nlp/Mistral-7B-Base-SFT-SimPO", |
|
|
"moondriller/solar10B-eugeneparkthebestv2": "https://huggingface.co/moondriller/solar10B-eugeneparkthebestv2", |
|
|
"chlee10/T3Q-LLM3-Llama3-sft1.0-dpo1.0": "https://huggingface.co/chlee10/T3Q-LLM3-Llama3-sft1.0-dpo1.0", |
|
|
"Edentns/DataVortexS-10.7B-dpo-v1.7": "https://huggingface.co/Edentns/DataVortexS-10.7B-dpo-v1.7", |
|
|
"gamzadole/llama3_instruct_tuning_without_pretraing": "https://huggingface.co/gamzadole/llama3_instruct_tuning_without_pretraing", |
|
|
"saltlux/Ko-Llama3-Luxia-8B": "https://huggingface.co/saltlux/Ko-Llama3-Luxia-8B", |
|
|
"kimdeokgi/ko-pt-model-test1": "https://huggingface.co/kimdeokgi/ko-pt-model-test1", |
|
|
"maywell/Synatra-11B-Testbench-2": "https://huggingface.co/maywell/Synatra-11B-Testbench-2", |
|
|
"Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO": "https://huggingface.co/Danielbrdz/Barcenas-14b-Phi-3-medium-ORPO", |
|
|
"vicgalle/Configurable-Mistral-7B": "https://huggingface.co/vicgalle/Configurable-Mistral-7B", |
|
|
"ENERGY-DRINK-LOVE/leaderboard_inst_v1.5_LDCC-SOLAR-10.7B_SFT": "https://huggingface.co/ENERGY-DRINK-LOVE/leaderboard_inst_v1.5_LDCC-SOLAR-10.7B_SFT", |
|
|
"beomi/Llama-3-Open-Ko-8B-Instruct-preview": "https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview", |
|
|
"Edentns/DataVortexS-10.7B-dpo-v1.3": "https://huggingface.co/Edentns/DataVortexS-10.7B-dpo-v1.3", |
|
|
"spow12/Llama3_ko_4.2_sft": "https://huggingface.co/spow12/Llama3_ko_4.2_sft", |
|
|
"maywell/Llama-3-Ko-8B-Instruct": "https://huggingface.co/maywell/Llama-3-Ko-8B-Instruct", |
|
|
"T3Q-LLM/T3Q-LLM3-NC-v1.0": "https://huggingface.co/T3Q-LLM/T3Q-LLM3-NC-v1.0", |
|
|
"ehartford/dolphin-2.2.1-mistral-7b": "https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b", |
|
|
"hwkwon/S-SOLAR-10.7B-SFT-v1.3": "https://huggingface.co/hwkwon/S-SOLAR-10.7B-SFT-v1.3", |
|
|
"sel303/llama3-instruct-diverce-v2.0": "https://huggingface.co/sel303/llama3-instruct-diverce-v2.0", |
|
|
"4yo1/llama3-eng-ko-8b-sl3": "https://huggingface.co/4yo1/llama3-eng-ko-8b-sl3", |
|
|
"hkss/hk-SOLAR-10.7B-v1.1": "https://huggingface.co/hkss/hk-SOLAR-10.7B-v1.1", |
|
|
"Open-Orca/Mistral-7B-OpenOrca": "https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca", |
|
|
"hyokwan/familidata": "https://huggingface.co/hyokwan/familidata", |
|
|
"uukuguy/zephyr-7b-alpha-dare-0.85": "https://huggingface.co/uukuguy/zephyr-7b-alpha-dare-0.85", |
|
|
"gwonny/nox-solar-10.7b-v4-kolon-all-5": "https://huggingface.co/gwonny/nox-solar-10.7b-v4-kolon-all-5", |
|
|
"shleeeee/mistral-ko-tech-science-v1": "https://huggingface.co/shleeeee/mistral-ko-tech-science-v1", |
|
|
"Deepnoid/deep-solar-eeve-KorSTS": "https://huggingface.co/Deepnoid/deep-solar-eeve-KorSTS", |
|
|
"AIdenU/Mistral-7B-v0.2-ko-Y24_v1.0": "https://huggingface.co/AIdenU/Mistral-7B-v0.2-ko-Y24_v1.0", |
|
|
"tlphams/gollm-tendency-45": "https://huggingface.co/tlphams/gollm-tendency-45", |
|
|
"realPCH/ko_solra_merge": "https://huggingface.co/realPCH/ko_solra_merge", |
|
|
"Cartinoe5930/original-KoRAE-13b": "https://huggingface.co/Cartinoe5930/original-KoRAE-13b", |
|
|
"GAI-LLM/Yi-Ko-6B-dpo-v5": "https://huggingface.co/GAI-LLM/Yi-Ko-6B-dpo-v5", |
|
|
"Minirecord/Mini_DPO_test02": "https://huggingface.co/Minirecord/Mini_DPO_test02", |
|
|
"AIJUUD/juud-Mistral-7B-dpo": "https://huggingface.co/AIJUUD/juud-Mistral-7B-dpo", |
|
|
"gwonny/nox-solar-10.7b-v4-kolon-all-10": "https://huggingface.co/gwonny/nox-solar-10.7b-v4-kolon-all-10", |
|
|
"jieunhan/TEST_MODEL": "https://huggingface.co/jieunhan/TEST_MODEL", |
|
|
"etri-xainlp/kor-llama2-13b-dpo": "https://huggingface.co/etri-xainlp/kor-llama2-13b-dpo", |
|
|
"ifuseok/yi-ko-playtus-instruct-v0.2": "https://huggingface.co/ifuseok/yi-ko-playtus-instruct-v0.2", |
|
|
"Cartinoe5930/original-KoRAE-13b-3ep": "https://huggingface.co/Cartinoe5930/original-KoRAE-13b-3ep", |
|
|
"Trofish/KULLM-RLHF": "https://huggingface.co/Trofish/KULLM-RLHF", |
|
|
"wkshin89/Yi-Ko-6B-Instruct-v1.0": "https://huggingface.co/wkshin89/Yi-Ko-6B-Instruct-v1.0", |
|
|
"momo/polyglot-ko-12.8b-Chat-QLoRA-Merge": "https://huggingface.co/momo/polyglot-ko-12.8b-Chat-QLoRA-Merge", |
|
|
"PracticeLLM/Custom-KoLLM-13B-v5": "https://huggingface.co/PracticeLLM/Custom-KoLLM-13B-v5", |
|
|
"BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B": "https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B", |
|
|
"MRAIRR/minillama3_8b_all": "https://huggingface.co/MRAIRR/minillama3_8b_all", |
|
|
"failspy/Phi-3-medium-4k-instruct-abliterated-v3": "https://huggingface.co/failspy/Phi-3-medium-4k-instruct-abliterated-v3", |
|
|
"DILAB-HYU/koquality-polyglot-12.8b": "https://huggingface.co/DILAB-HYU/koquality-polyglot-12.8b", |
|
|
"kyujinpy/Korean-OpenOrca-v3": "https://huggingface.co/kyujinpy/Korean-OpenOrca-v3", |
|
|
"4yo1/llama3-eng-ko-8b": "https://huggingface.co/4yo1/llama3-eng-ko-8b", |
|
|
"4yo1/llama3-eng-ko-8": "https://huggingface.co/4yo1/llama3-eng-ko-8", |
|
|
"4yo1/llama3-eng-ko-8-llama": "https://huggingface.co/4yo1/llama3-eng-ko-8-llama", |
|
|
"PracticeLLM/Custom-KoLLM-13B-v2": "https://huggingface.co/PracticeLLM/Custom-KoLLM-13B-v2", |
|
|
"kyujinpy/KOR-Orca-Platypus-13B-v2": "https://huggingface.co/kyujinpy/KOR-Orca-Platypus-13B-v2", |
|
|
"ghost-x/ghost-7b-alpha": "https://huggingface.co/ghost-x/ghost-7b-alpha", |
|
|
"HumanF-MarkrAI/pub-llama-13B-v6": "https://huggingface.co/HumanF-MarkrAI/pub-llama-13B-v6", |
|
|
"nlpai-lab/kullm-polyglot-5.8b-v2": "https://huggingface.co/nlpai-lab/kullm-polyglot-5.8b-v2", |
|
|
"maywell/Synatra-42dot-1.3B": "https://huggingface.co/maywell/Synatra-42dot-1.3B", |
|
|
"yhkim9362/gemma-en-ko-7b-v0.1": "https://huggingface.co/yhkim9362/gemma-en-ko-7b-v0.1", |
|
|
"yhkim9362/gemma-en-ko-7b-v0.2": "https://huggingface.co/yhkim9362/gemma-en-ko-7b-v0.2", |
|
|
"daekeun-ml/Llama-2-ko-OpenOrca-gugugo-13B": "https://huggingface.co/daekeun-ml/Llama-2-ko-OpenOrca-gugugo-13B", |
|
|
"beomi/Yi-Ko-6B": "https://huggingface.co/beomi/Yi-Ko-6B", |
|
|
"jojo0217/ChatSKKU5.8B": "https://huggingface.co/jojo0217/ChatSKKU5.8B", |
|
|
"Deepnoid/deep-solar-v2.0.7": "https://huggingface.co/Deepnoid/deep-solar-v2.0.7", |
|
|
"01-ai/Yi-1.5-9B": "https://huggingface.co/01-ai/Yi-1.5-9B", |
|
|
"PracticeLLM/Custom-KoLLM-13B-v4": "https://huggingface.co/PracticeLLM/Custom-KoLLM-13B-v4", |
|
|
"nuebaek/komt_mistral_mss_user_0_max_steps_80": "https://huggingface.co/nuebaek/komt_mistral_mss_user_0_max_steps_80", |
|
|
"dltjdgh0928/lsh_finetune_v0.11": "https://huggingface.co/dltjdgh0928/lsh_finetune_v0.11", |
|
|
"shleeeee/mistral-7b-wiki": "https://huggingface.co/shleeeee/mistral-7b-wiki", |
|
|
"nayohan/polyglot-ko-5.8b-Inst": "https://huggingface.co/nayohan/polyglot-ko-5.8b-Inst", |
|
|
"ifuseok/sft-solar-10.7b-v1.1": "https://huggingface.co/ifuseok/sft-solar-10.7b-v1.1", |
|
|
"Junmai/KIT-5.8b": "https://huggingface.co/Junmai/KIT-5.8b", |
|
|
"heegyu/polyglot-ko-3.8b-chat": "https://huggingface.co/heegyu/polyglot-ko-3.8b-chat", |
|
|
"etri-xainlp/polyglot-ko-12.8b-instruct": "https://huggingface.co/etri-xainlp/polyglot-ko-12.8b-instruct", |
|
|
"OpenBuddy/openbuddy-mistral2-7b-v20.3-32k": "https://huggingface.co/OpenBuddy/openbuddy-mistral2-7b-v20.3-32k", |
|
|
"sh2orc/Llama-3-Korean-8B": "https://huggingface.co/sh2orc/Llama-3-Korean-8B", |
|
|
"Deepnoid/deep-solar-eeve-v2.0.0": "https://huggingface.co/Deepnoid/deep-solar-eeve-v2.0.0", |
|
|
"Herry443/Mistral-7B-KNUT-ref": "https://huggingface.co/Herry443/Mistral-7B-KNUT-ref", |
|
|
"heegyu/polyglot-ko-5.8b-chat": "https://huggingface.co/heegyu/polyglot-ko-5.8b-chat", |
|
|
"jungyuko/DAVinCI-42dot_LLM-PLM-1.3B-v1.5.3": "https://huggingface.co/jungyuko/DAVinCI-42dot_LLM-PLM-1.3B-v1.5.3", |
|
|
"DILAB-HYU/KoQuality-Polyglot-5.8b": "https://huggingface.co/DILAB-HYU/KoQuality-Polyglot-5.8b", |
|
|
"Byungchae/k2s3_test_0000": "https://huggingface.co/Byungchae/k2s3_test_0000", |
|
|
"migtissera/Tess-v2.5-Phi-3-medium-128k-14B": "https://huggingface.co/migtissera/Tess-v2.5-Phi-3-medium-128k-14B", |
|
|
"kyujinpy/Korean-OpenOrca-13B": "https://huggingface.co/kyujinpy/Korean-OpenOrca-13B", |
|
|
"kyujinpy/KO-Platypus2-13B": "https://huggingface.co/kyujinpy/KO-Platypus2-13B", |
|
|
"jin05102518/Astral-7B-Instruct-v0.01": "https://huggingface.co/jin05102518/Astral-7B-Instruct-v0.01", |
|
|
"Byungchae/k2s3_test_0002": "https://huggingface.co/Byungchae/k2s3_test_0002", |
|
|
"NousResearch/Nous-Hermes-llama-2-7b": "https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b", |
|
|
"kaist-ai/prometheus-13b-v1.0": "https://huggingface.co/kaist-ai/prometheus-13b-v1.0", |
|
|
"sel303/llama3-diverce-ver1.0": "https://huggingface.co/sel303/llama3-diverce-ver1.0", |
|
|
"NousResearch/Nous-Capybara-7B": "https://huggingface.co/NousResearch/Nous-Capybara-7B", |
|
|
"rrw-x2/KoSOLAR-10.7B-DPO-v1.0": "https://huggingface.co/rrw-x2/KoSOLAR-10.7B-DPO-v1.0", |
|
|
"Edentns/DataVortexS-10.7B-v0.2": "https://huggingface.co/Edentns/DataVortexS-10.7B-v0.2", |
|
|
"Jsoo/Llama3-beomi-Open-Ko-8B-Instruct-preview-test6": "https://huggingface.co/Jsoo/Llama3-beomi-Open-Ko-8B-Instruct-preview-test6", |
|
|
"tlphams/gollm-instruct-all-in-one-v1": "https://huggingface.co/tlphams/gollm-instruct-all-in-one-v1", |
|
|
"Edentns/DataVortexTL-1.1B-v0.1": "https://huggingface.co/Edentns/DataVortexTL-1.1B-v0.1", |
|
|
"richard-park/llama3-pre1-ds": "https://huggingface.co/richard-park/llama3-pre1-ds", |
|
|
"ehartford/samantha-1.1-llama-33b": "https://huggingface.co/ehartford/samantha-1.1-llama-33b", |
|
|
"heegyu/LIMA-13b-hf": "https://huggingface.co/heegyu/LIMA-13b-hf", |
|
|
"heegyu/42dot_LLM-PLM-1.3B-mt": "https://huggingface.co/heegyu/42dot_LLM-PLM-1.3B-mt", |
|
|
"shleeeee/mistral-ko-7b-wiki-neft": "https://huggingface.co/shleeeee/mistral-ko-7b-wiki-neft", |
|
|
"EleutherAI/polyglot-ko-1.3b": "https://huggingface.co/EleutherAI/polyglot-ko-1.3b", |
|
|
"kyujinpy/Ko-PlatYi-6B-gu": "https://huggingface.co/kyujinpy/Ko-PlatYi-6B-gu", |
|
|
"sel303/llama3-diverce-ver1.6": "https://huggingface.co/sel303/llama3-diverce-ver1.6" |
|
|
} |
|
|
|
|
|
|
|
|
def get_korea_models(): |
|
|
"""Korea ๊ด๋ จ ๋ชจ๋ธ ๊ฒ์""" |
|
|
params = { |
|
|
"search": "korea", |
|
|
"full": "True", |
|
|
"config": "True", |
|
|
"limit": 1000 |
|
|
} |
|
|
|
|
|
try: |
|
|
response = requests.get( |
|
|
"https://huggingface.co/api/models", |
|
|
headers={'Accept': 'application/json'}, |
|
|
params=params |
|
|
) |
|
|
|
|
|
if response.status_code == 200: |
|
|
return response.json() |
|
|
else: |
|
|
print(f"Failed to fetch Korea models: {response.status_code}") |
|
|
return [] |
|
|
except Exception as e: |
|
|
print(f"Error fetching Korea models: {str(e)}") |
|
|
return [] |
|
|
|
|
|
def get_all_models(limit=3000): |
|
|
"""๋ชจ๋ ๋ชจ๋ธ๊ณผ Korea ๊ด๋ จ ๋ชจ๋ธ ๊ฐ์ ธ์ค๊ธฐ""" |
|
|
all_models = [] |
|
|
page_size = 1000 |
|
|
|
|
|
for offset in range(0, limit, page_size): |
|
|
params = { |
|
|
'limit': min(page_size, limit - offset), |
|
|
'full': 'True', |
|
|
'config': 'True', |
|
|
'offset': offset |
|
|
} |
|
|
|
|
|
response = requests.get( |
|
|
"https://huggingface.co/api/models", |
|
|
headers={'Accept': 'application/json'}, |
|
|
params=params |
|
|
) |
|
|
|
|
|
if response.status_code == 200: |
|
|
all_models.extend(response.json()) |
|
|
print(f"Fetched models {offset+1} to {offset+len(response.json())}") |
|
|
else: |
|
|
print(f"Failed to fetch models at offset {offset}: {response.status_code}") |
|
|
break |
|
|
|
|
|
korea_params = { |
|
|
"search": "korea", |
|
|
"full": "True", |
|
|
"config": "True", |
|
|
"limit": limit |
|
|
} |
|
|
|
|
|
korea_response = requests.get( |
|
|
"https://huggingface.co/api/models", |
|
|
headers={'Accept': 'application/json'}, |
|
|
params=korea_params |
|
|
) |
|
|
|
|
|
if korea_response.status_code == 200: |
|
|
korea_models = korea_response.json() |
|
|
print(f"Fetched {len(korea_models)} Korea-related models") |
|
|
|
|
|
existing_ids = {model.get('id', '') for model in all_models} |
|
|
for model in korea_models: |
|
|
if model.get('id', '') not in existing_ids: |
|
|
all_models.append(model) |
|
|
existing_ids.add(model.get('id', '')) |
|
|
else: |
|
|
print(f"Failed to fetch Korea models: {korea_response.status_code}") |
|
|
|
|
|
print(f"Total unique models: {len(all_models)}") |
|
|
return all_models[:limit] |
|
|
|
|
|
async def fetch_model_data(session, model_id): |
|
|
url = f"https://huggingface.co/api/models/{model_id.strip('/')}" |
|
|
try: |
|
|
async with session.get(url, headers={'Accept': 'application/json'}) as response: |
|
|
if response.status == 200: |
|
|
return await response.json() |
|
|
else: |
|
|
print(f"Failed to fetch {model_id}: {response.status}") |
|
|
return None |
|
|
except Exception as e: |
|
|
print(f"Error fetching {model_id}: {e}") |
|
|
return None |
|
|
|
|
|
async def fetch_all_target_models(model_ids): |
|
|
async with aiohttp.ClientSession() as session: |
|
|
tasks = [fetch_model_data(session, model_id) for model_id in model_ids] |
|
|
results = await asyncio.gather(*tasks) |
|
|
return results |
|
|
|
|
|
def get_models_data(progress=gr.Progress()): |
|
|
def calculate_rank(model_id, all_global_models, korea_models): |
|
|
global_rank = next((idx for idx, m in enumerate(all_global_models, 1) |
|
|
if m.get('id', '').strip() == model_id.strip()), None) |
|
|
|
|
|
is_korea = any(m.get('id', '').strip() == model_id.strip() for m in korea_models) |
|
|
|
|
|
if is_korea: |
|
|
korea_rank = next((idx for idx, m in enumerate(korea_models, 1) |
|
|
if m.get('id', '').strip() == model_id.strip()), None) |
|
|
|
|
|
if korea_rank: |
|
|
return min(global_rank or 3001, korea_rank + 1000), True |
|
|
|
|
|
return global_rank if global_rank else 'Not in top 3000', is_korea |
|
|
|
|
|
try: |
|
|
progress(0, desc="Fetching models...") |
|
|
|
|
|
if not HF_TOKEN: |
|
|
fig = create_error_plot() |
|
|
error_html = """ |
|
|
<div style='padding: 20px; background: #fee; border-radius: 10px; margin: 10px 0;'> |
|
|
<h3 style='color: #c00;'>โ ๏ธ API ์ธ์ฆ์ด ํ์ํฉ๋๋ค</h3> |
|
|
<p>HuggingFace API ํ ํฐ์ด ์ค์ ๋์ง ์์์ต๋๋ค. ์์ ํ ๊ธฐ๋ฅ์ ์ฌ์ฉํ๊ธฐ ์ํด์๋ API ํ ํฐ์ด ํ์ํฉ๋๋ค.</p> |
|
|
</div> |
|
|
""" |
|
|
empty_df = pd.DataFrame(columns=['Global Rank', 'Model ID', 'Title', 'Downloads', 'Likes', 'Korea Search', 'URL']) |
|
|
return fig, error_html, empty_df |
|
|
|
|
|
|
|
|
all_global_models = get_all_models(limit=3000) |
|
|
korea_models = get_korea_models() |
|
|
|
|
|
print(f"Total global models fetched: {len(all_global_models)}") |
|
|
print(f"Total Korea models fetched: {len(korea_models)}") |
|
|
|
|
|
all_models = all_global_models.copy() |
|
|
existing_ids = {model.get('id', '') for model in all_global_models} |
|
|
|
|
|
added_korea_models = 0 |
|
|
for korea_model in korea_models: |
|
|
if korea_model.get('id', '') not in existing_ids: |
|
|
all_models.append(korea_model) |
|
|
existing_ids.add(korea_model.get('id', '')) |
|
|
added_korea_models += 1 |
|
|
|
|
|
print(f"Added {added_korea_models} unique Korea models") |
|
|
print(f"Total combined models: {len(all_models)}") |
|
|
|
|
|
fig = go.Figure() |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
target_model_ids = set(target_models.keys()) |
|
|
|
|
|
|
|
|
extra_accounts = ["keeperballon/", "openfree/", "vidraft/", "ginigen/", "heartsync/", "seawolf2357/", "aiqcamp/", "aiqtech/", "fantaxy/", "fantos/", "immunobiotech/", "yokoha/", "cutechicken/", "kolaslab/","kolaslab/", "gunship999/" ] |
|
|
extra_model_ids = { |
|
|
m['id'] for m in all_global_models |
|
|
if isinstance(m.get('id'), str) |
|
|
and any(m['id'].startswith(prefix) for prefix in extra_accounts) |
|
|
} |
|
|
|
|
|
final_model_ids = target_model_ids.union(extra_model_ids) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
model_results = asyncio.run(fetch_all_target_models(final_model_ids)) |
|
|
|
|
|
filtered_models = [] |
|
|
for model_id, model_data in zip(final_model_ids, model_results): |
|
|
if model_data is not None: |
|
|
rank, is_korea = calculate_rank(model_id, all_global_models, korea_models) |
|
|
filtered_models.append({ |
|
|
'id': model_id, |
|
|
'global_rank': rank, |
|
|
'downloads': model_data.get('downloads', 0), |
|
|
'likes': model_data.get('likes', 0), |
|
|
'title': model_data.get('title', 'No Title'), |
|
|
'is_korea': is_korea |
|
|
}) |
|
|
|
|
|
else: |
|
|
filtered_models.append({ |
|
|
'id': model_id, |
|
|
'global_rank': 'Not in top 3000', |
|
|
'downloads': 0, |
|
|
'likes': 0, |
|
|
'title': 'No Title', |
|
|
'is_korea': False |
|
|
}) |
|
|
|
|
|
|
|
|
def rank_value(x): |
|
|
if isinstance(x['global_rank'], str): |
|
|
return float('inf') |
|
|
return x['global_rank'] |
|
|
|
|
|
filtered_models.sort(key=rank_value) |
|
|
|
|
|
valid_models = [m for m in filtered_models if isinstance(m['global_rank'], (int, float))] |
|
|
|
|
|
if valid_models: |
|
|
ids = [m['id'] for m in valid_models] |
|
|
ranks = [m['global_rank'] for m in valid_models] |
|
|
|
|
|
fig.add_trace(go.Bar( |
|
|
x=ids, |
|
|
y=[3001 - r for r in ranks], |
|
|
text=[f"Rank: #{r}<br>Downloads: {format(m['downloads'], ',')}<br>Likes: {format(m['likes'], ',')}" |
|
|
for r, m in zip(ranks, valid_models)], |
|
|
textposition='auto', |
|
|
marker_color=['rgba(255,0,0,0.6)' if m['is_korea'] else 'rgba(0,0,255,0.6)' |
|
|
for m in valid_models], |
|
|
opacity=0.8 |
|
|
)) |
|
|
|
|
|
fig.update_layout( |
|
|
title="HuggingFace Models Global Rankings (Up to #3000)", |
|
|
xaxis_title="Model ID", |
|
|
yaxis_title="Global Rank", |
|
|
yaxis=dict( |
|
|
ticktext=[f"#{i}" for i in range(1, 3001, 100)], |
|
|
tickvals=[3001 - i for i in range(1, 3001, 100)], |
|
|
range=[0, 3000] |
|
|
), |
|
|
height=800, |
|
|
showlegend=False, |
|
|
template='plotly_white', |
|
|
xaxis_tickangle=-45 |
|
|
) |
|
|
|
|
|
html_content = """ |
|
|
<div style='padding: 20px; background: #f5f5f5;'> |
|
|
<h2 style='color: #2c3e50;'>Models Rankings (Up to #3000)</h2> |
|
|
<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'> |
|
|
""" |
|
|
|
|
|
for model in filtered_models: |
|
|
rank_display = f"Global Rank #{model['global_rank']}" if isinstance(model['global_rank'], (int, float)) else "Not in top 3000" |
|
|
korea_badge = "๐ฐ๐ท Korea Search Result" if model['is_korea'] else "" |
|
|
|
|
|
model_url = target_models.get(model['id'], f"https://huggingface.co/{model['id']}") |
|
|
|
|
|
html_content += f""" |
|
|
<div style=' |
|
|
background: white; |
|
|
padding: 20px; |
|
|
border-radius: 10px; |
|
|
box-shadow: 0 2px 4px rgba(0,0,0,0.1); |
|
|
transition: transform 0.2s; |
|
|
{f"border: 2px solid #e74c3c;" if model['is_korea'] else ""} |
|
|
'> |
|
|
<h3 style='color: #34495e;'>{rank_display}</h3> |
|
|
<h4 style='color: #2c3e50;'>{model['id']}</h4> |
|
|
<p style='color: #e74c3c; font-weight: bold;'>{korea_badge}</p> |
|
|
<p style='color: #7f8c8d;'>โฌ๏ธ Downloads: {format(model['downloads'], ',')}</p> |
|
|
<p style='color: #7f8c8d;'>๐ Likes: {format(model['likes'], ',')}</p> |
|
|
<a href='{model_url}' |
|
|
target='_blank' |
|
|
style=' |
|
|
display: inline-block; |
|
|
padding: 8px 16px; |
|
|
background: #3498db; |
|
|
color: white; |
|
|
text-decoration: none; |
|
|
border-radius: 5px; |
|
|
transition: background 0.3s; |
|
|
'> |
|
|
Visit Model ๐ |
|
|
</a> |
|
|
</div> |
|
|
""" |
|
|
|
|
|
html_content += "</div></div>" |
|
|
|
|
|
df = pd.DataFrame([{ |
|
|
'Global Rank': f"#{m['global_rank']}" if isinstance(m['global_rank'], (int, float)) else m['global_rank'], |
|
|
'Model ID': m['id'], |
|
|
'Title': m['title'], |
|
|
'Downloads': format(m['downloads'], ','), |
|
|
'Likes': format(m['likes'], ','), |
|
|
'Korea Search': '๐ฐ๐ท' if m['is_korea'] else '', |
|
|
|
|
|
'URL': target_models.get(m['id'], f"https://huggingface.co/{m['id']}") |
|
|
} for m in filtered_models]) |
|
|
|
|
|
progress(1.0, desc="Complete!") |
|
|
return fig, html_content, df |
|
|
|
|
|
except Exception as e: |
|
|
print(f"Error in get_models_data: {str(e)}") |
|
|
error_fig = create_error_plot() |
|
|
error_html = f""" |
|
|
<div style='padding: 20px; background: #fee; border-radius: 10px; margin: 10px 0;'> |
|
|
<h3 style='color: #c00;'>โ ๏ธ ์ค๋ฅ๊ฐ ๋ฐ์ํ์ต๋๋ค</h3> |
|
|
<p>{str(e)}</p> |
|
|
</div> |
|
|
""" |
|
|
empty_df = pd.DataFrame(columns=['Global Rank', 'Model ID', 'Title', 'Downloads', 'Likes', 'Korea Search', 'URL']) |
|
|
return error_fig, error_html, empty_df |
|
|
|
|
|
target_spaces = { |
|
|
|
|
|
"ginigen/Flux-Kontext-Style": "https://huggingface.co/spaces/ginigen/Flux-Kontext-Style", |
|
|
"cutechicken/3D-Airforce-Simulator": "https://huggingface.co/spaces/cutechicken/3D-Airforce-Simulator", |
|
|
"ginipick/Private-AI": "https://huggingface.co/spaces/ginipick/Private-AI", |
|
|
"openfree/Best-AI": "https://huggingface.co/spaces/openfree/Best-AI", |
|
|
"aiqtech/Heatmap-Leaderboard": "https://huggingface.co/spaces/aiqtech/Heatmap-Leaderboard", |
|
|
"VIDraft/DNA-CASINO": "https://huggingface.co/spaces/VIDraft/DNA-CASINO", |
|
|
"ginigen/Seedance-Free": "https://huggingface.co/spaces/ginigen/Seedance-Free", |
|
|
"openfree/K-AI": "https://huggingface.co/spaces/openfree/K-AI", |
|
|
"aiqtech/SOMA-Oriental": "https://huggingface.co/spaces/aiqtech/SOMA-Oriental", |
|
|
"ginigen/Flux-Kontext-FaceLORA": "https://huggingface.co/spaces/ginigen/Flux-Kontext-FaceLORA", |
|
|
"VIDraft/SOMA-AGI": "https://huggingface.co/spaces/VIDraft/SOMA-AGI", |
|
|
"openfree/AI": "https://huggingface.co/spaces/openfree/AI", |
|
|
"Heartsync/VEO3-RealTime": "https://huggingface.co/spaces/Heartsync/VEO3-RealTime", |
|
|
"openfree/MOUSE-Workflow": "https://huggingface.co/spaces/openfree/MOUSE-Workflow", |
|
|
"fantaxy/YTB-TEST": "https://huggingface.co/spaces/fantaxy/YTB-TEST", |
|
|
"openfree/Open-GAMMA": "https://huggingface.co/spaces/openfree/Open-GAMMA", |
|
|
"ginigen/VEO3-Free-mirror": "https://huggingface.co/spaces/ginigen/VEO3-Free-mirror", |
|
|
"ginigen/VEO3-Free": "https://huggingface.co/spaces/ginigen/VEO3-Free", |
|
|
"ginigen/VEO3-Directorss": "https://huggingface.co/spaces/ginigen/VEO3-Directorss", |
|
|
"Heartsync/WAN2-1-fast-T2V-FusioniX2": "https://huggingface.co/spaces/Heartsync/WAN2-1-fast-T2V-FusioniX2", |
|
|
"Heartsync/WAN2-1-fast-T2V-FusioniX": "https://huggingface.co/spaces/Heartsync/WAN2-1-fast-T2V-FusioniX", |
|
|
"VIDraft/voice-trans": "https://huggingface.co/spaces/VIDraft/voice-trans", |
|
|
"VIDraft/Gemma-3-R1984-1B-0613": "https://huggingface.co/spaces/VIDraft/Gemma-3-R1984-1B-0613", |
|
|
"VIDraft/Robo-Beam": "https://huggingface.co/spaces/VIDraft/Robo-Beam", |
|
|
"Heartsync/NSFW-Uncensored-REAL": "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-REAL", |
|
|
"Heartsync/FREE-NSFW-HUB": "https://huggingface.co/spaces/Heartsync/FREE-NSFW-HUB", |
|
|
"fantaxy/fantasy-novel": "https://huggingface.co/spaces/fantaxy/fantasy-novel", |
|
|
"VIDraft/Gemma-3-R1984-1B": "https://huggingface.co/spaces/VIDraft/Gemma-3-R1984-1B", |
|
|
"openfree/Chart-GPT": "https://huggingface.co/spaces/openfree/Chart-GPT", |
|
|
"Heartsync/Novel-NSFW": "https://huggingface.co/spaces/Heartsync/Novel-NSFW", |
|
|
"ginigen/FLUX-Ghibli-LoRA2": "https://huggingface.co/spaces/ginigen/FLUX-Ghibli-LoRA2", |
|
|
"Heartsync/WAN-VIDEO-AUDIO": "https://huggingface.co/spaces/Heartsync/WAN-VIDEO-AUDIO", |
|
|
"ginigen/deepseek-r1-0528-API": "https://huggingface.co/spaces/ginigen/deepseek-r1-0528-API", |
|
|
"Heartsync/wan2-1-fast-security": "https://huggingface.co/spaces/Heartsync/wan2-1-fast-security", |
|
|
"ginigen/Flux-VIDEO": "https://huggingface.co/spaces/ginigen/Flux-VIDEO", |
|
|
"aiqcamp/REMOVAL-TEXT-IMAGE": "https://huggingface.co/spaces/aiqcamp/REMOVAL-TEXT-IMAGE", |
|
|
"aiqcamp/deepseek-r1-0528-qwen3-8b": "https://huggingface.co/spaces/aiqcamp/deepseek-r1-0528-qwen3-8b", |
|
|
"aiqcamp/deepseek-r1-0528": "https://huggingface.co/spaces/aiqcamp/deepseek-r1-0528", |
|
|
"VIDraft/BAGEL-Websearch": "https://huggingface.co/spaces/VIDraft/BAGEL-Websearch", |
|
|
"aiqcamp/Mistral-Devstral-API": "https://huggingface.co/spaces/aiqcamp/Mistral-Devstral-API", |
|
|
"VIDraft/Mistral-RAG-BitSix": "https://huggingface.co/spaces/VIDraft/Mistral-RAG-BitSix", |
|
|
"ginigen/3D-LLAMA-V1": "https://huggingface.co/spaces/ginigen/3D-LLAMA-V1", |
|
|
"Heartsync/NSFW-Uncensored-video2": "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video2", |
|
|
"Heartsync/NSFW-Uncensored-video": "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video", |
|
|
"seawolf2357/PDF-text-extractor": "https://huggingface.co/spaces/seawolf2357/PDF-text-extractor", |
|
|
"ginipick/Change-Hair": "https://huggingface.co/spaces/ginipick/Change-Hair", |
|
|
"VIDraft/Voice-Clone-Podcast": "https://huggingface.co/spaces/VIDraft/Voice-Clone-Podcast", |
|
|
"ginipick/PDF-EXAM": "https://huggingface.co/spaces/ginipick/PDF-EXAM", |
|
|
"openfree/Naming": "https://huggingface.co/spaces/openfree/Naming", |
|
|
"Heartsync/adult": "https://huggingface.co/spaces/Heartsync/adult", |
|
|
"Heartsync/hwp": "https://huggingface.co/spaces/Heartsync/hwp", |
|
|
"VIDraft/ACE-Singer": "https://huggingface.co/spaces/VIDraft/ACE-Singer", |
|
|
"openfree/Live-Podcast": "https://huggingface.co/spaces/openfree/Live-Podcast", |
|
|
"Heartsync/kim-korea": "https://huggingface.co/spaces/Heartsync/kim-korea", |
|
|
"openfree/AI-Podcast": "https://huggingface.co/spaces/openfree/AI-Podcast", |
|
|
"ginipick/NH-Korea": "https://huggingface.co/spaces/ginipick/NH-Korea", |
|
|
"VIDraft/NH-Prediction": "https://huggingface.co/spaces/VIDraft/NH-Prediction", |
|
|
"ginipick/AI-BOOK": "https://huggingface.co/spaces/ginipick/AI-BOOK", |
|
|
"openfree/Web-Manager": "https://huggingface.co/spaces/openfree/Web-Manager", |
|
|
"openfree/Game-Gallery": "https://huggingface.co/spaces/openfree/Game-Gallery", |
|
|
"openfree/Vibe-Game": "https://huggingface.co/spaces/openfree/Vibe-Game", |
|
|
"ginipick/IDEA-DESIGN": "https://huggingface.co/spaces/ginipick/IDEA-DESIGN", |
|
|
"openfree/Cycle-Navigator": "https://huggingface.co/spaces/openfree/Cycle-Navigator", |
|
|
"openfree/Pulsar-Display": "https://huggingface.co/spaces/openfree/Pulsar-Display", |
|
|
"openfree/RPG-GAME": "https://huggingface.co/spaces/openfree/RPG-GAME", |
|
|
"openfree/Evolution-Simulation": "https://huggingface.co/spaces/openfree/Evolution-Simulation", |
|
|
"openfree/DreamO-video": "https://huggingface.co/spaces/openfree/DreamO-video", |
|
|
"ginigen/3D-VIDEO": "https://huggingface.co/spaces/ginigen/3D-VIDEO", |
|
|
|
|
|
"ginipick/Pharmacy": "https://huggingface.co/spaces/ginipick/Pharmacy", |
|
|
"immunobiotech/Gemini-MICHELIN-kr": "https://huggingface.co/spaces/immunobiotech/Gemini-MICHELIN-kr", |
|
|
"immunobiotech/Gemini-MICHELIN": "https://huggingface.co/spaces/immunobiotech/Gemini-MICHELIN", |
|
|
"openfree/Battle-Royale-GAME": "https://huggingface.co/spaces/openfree/Battle-Royale-GAME", |
|
|
"Heartsync/NSFW-detection": "https://huggingface.co/spaces/Heartsync/NSFW-detection", |
|
|
"openfree/repo-graph": "https://huggingface.co/spaces/openfree/repo-graph", |
|
|
"Heartsync/NSFW-Uncensored-photo": "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-photo", |
|
|
"Heartsync/NSFW-Uncensored": "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored", |
|
|
"aiqcamp/ENGLISH-Speaking-Scoring": "https://huggingface.co/spaces/aiqcamp/ENGLISH-Speaking-Scoring", |
|
|
"openfree/Chain-of-Recursive-Thoughts": "https://huggingface.co/spaces/openfree/Chain-of-Recursive-Thoughts", |
|
|
"aiqcamp/SEO-checker": "https://huggingface.co/spaces/aiqcamp/SEO-checker", |
|
|
"openfree/qwen3-30b-a3b-research": "https://huggingface.co/spaces/openfree/qwen3-30b-a3b-research", |
|
|
"openfree/qwen3-235b-a22b-research": "https://huggingface.co/spaces/openfree/qwen3-235b-a22b-research", |
|
|
"ginigen/Mistral-Perflexity": "https://huggingface.co/spaces/ginigen/Mistral-Perflexity", |
|
|
"aiqcamp/gemini-2.5-flash-preview": "https://huggingface.co/spaces/aiqcamp/gemini-2.5-flash-preview", |
|
|
"aiqcamp/MCP-kokoro": "https://huggingface.co/spaces/aiqcamp/MCP-kokoro", |
|
|
|
|
|
"aiqcamp/Llama-4-Maverick-17B-search": "https://huggingface.co/spaces/aiqcamp/Llama-4-Maverick-17B-search", |
|
|
"aiqcamp/facefusion3": "https://huggingface.co/spaces/aiqcamp/facefusion3", |
|
|
"ginigen/Every-Text": "https://huggingface.co/spaces/ginigen/Every-Text", |
|
|
"Heartsync/flux-lora-homer": "https://huggingface.co/spaces/Heartsync/flux-lora-homer", |
|
|
"fantos/flux-lora-gogh": "https://huggingface.co/spaces/fantos/flux-lora-gogh", |
|
|
"fantos/flux-lora-cezanne": "https://huggingface.co/spaces/fantos/flux-lora-cezanne", |
|
|
"ginigen/flux-lora-renoir": "https://huggingface.co/spaces/ginigen/flux-lora-renoir", |
|
|
"Heartsync/NSFW-image": "https://huggingface.co/spaces/Heartsync/NSFW-image", |
|
|
"openfree/svg": "https://huggingface.co/spaces/openfree/svg", |
|
|
"VIDraft/phi-4-reasoning-plus": "https://huggingface.co/spaces/VIDraft/phi-4-reasoning-plus", |
|
|
"fantaxy/musepose": "https://huggingface.co/spaces/fantaxy/musepose", |
|
|
"ginigen/VisualCloze": "https://huggingface.co/spaces/ginigen/VisualCloze", |
|
|
"ginigen/framepack-i2v": "https://huggingface.co/spaces/ginigen/framepack-i2v", |
|
|
"VIDraft/FramePack_rotate_landscape": "https://huggingface.co/spaces/VIDraft/FramePack_rotate_landscape", |
|
|
"VIDraft/Flex-preview": "https://huggingface.co/spaces/VIDraft/Flex-preview", |
|
|
"Heartsync/Character": "https://huggingface.co/spaces/Heartsync/Character", |
|
|
"Heartsync/image-ip-composer": "https://huggingface.co/spaces/Heartsync/image-ip-composer", |
|
|
"Heartsync/FLite-Texture-ULTRA": "https://huggingface.co/spaces/Heartsync/FLite-Texture-ULTRA", |
|
|
"VIDraft/Local-RAG-llama-3-8b": "https://huggingface.co/spaces/VIDraft/Local-RAG-llama-3-8b", |
|
|
"fantos/Physics-Playground": "https://huggingface.co/spaces/fantos/Physics-Playground", |
|
|
"fantos/EveryText": "https://huggingface.co/spaces/fantos/EveryText", |
|
|
"ginipick/GLM-4-32B-0414": "https://huggingface.co/spaces/ginipick/GLM-4-32B-0414", |
|
|
"ginipick/Qwen3-30B-A3B": "https://huggingface.co/spaces/ginipick/Qwen3-30B-A3B", |
|
|
"ginipick/Qwen3-32B": "https://huggingface.co/spaces/ginipick/Qwen3-32B", |
|
|
"ginipick/DeepSeek-Prover-V2-671B": "https://huggingface.co/spaces/ginipick/DeepSeek-Prover-V2-671B", |
|
|
"ginipick/Qwen3-235B-A22B": "https://huggingface.co/spaces/ginipick/Qwen3-235B-A22B", |
|
|
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"immunobiotech/drug-discover": "https://huggingface.co/spaces/immunobiotech/drug-discover", |
|
|
"openfree/Korean-Leaderboard-2025": "https://huggingface.co/spaces/openfree/Korean-Leaderboard-2025", |
|
|
"ginipick/DeepSeekR1-LIVE": "https://huggingface.co/spaces/ginipick/DeepSeekR1-LIVE", |
|
|
"ginipick/like-history": "https://huggingface.co/spaces/ginipick/like-history", |
|
|
"ginigen/ColPali-multi": "https://huggingface.co/spaces/ginigen/ColPali-multi", |
|
|
"ginigen/Janus-Pro-7B": "https://huggingface.co/spaces/ginigen/Janus-Pro-7B", |
|
|
"ginigen/Animagine": "https://huggingface.co/spaces/ginigen/Animagine", |
|
|
"ginigen/Sign-language": "https://huggingface.co/spaces/ginigen/Sign-language", |
|
|
"ginipick/OpenSUNO": "https://huggingface.co/spaces/ginipick/OpenSUNO", |
|
|
"openfree/PDF-RAG": "https://huggingface.co/spaces/openfree/PDF-RAG", |
|
|
"fantos/Ranking-Tracker": "https://huggingface.co/spaces/fantos/Ranking-Tracker", |
|
|
"aiqcamp/Multilingual-Images": "https://huggingface.co/spaces/aiqcamp/Multilingual-Images", |
|
|
"aiqcamp/Gemini2-Flash-Thinking": "https://huggingface.co/spaces/aiqcamp/Gemini2-Flash-Thinking", |
|
|
"fantaxy/novel-sorim-en": "https://huggingface.co/spaces/fantaxy/novel-sorim-en", |
|
|
"fantaxy/novel-NSFW-en": "https://huggingface.co/spaces/fantaxy/novel-NSFW-en", |
|
|
"fantaxy/novel-fantasy-en": "https://huggingface.co/spaces/fantaxy/novel-fantasy-en", |
|
|
"fantaxy/novel-romance-en": "https://huggingface.co/spaces/fantaxy/novel-romance-en", |
|
|
"kolaslab/8bit-gamemusic": "https://huggingface.co/spaces/kolaslab/8bit-gamemusic", |
|
|
"openfree/pepe": "https://huggingface.co/spaces/openfree/pepe", |
|
|
"openfree/MoneyRadar": "https://huggingface.co/spaces/openfree/MoneyRadar", |
|
|
"ginipick/QR-Canvas": "https://huggingface.co/spaces/ginipick/QR-Canvas", |
|
|
"openfree/MagicFace": "https://huggingface.co/spaces/openfree/MagicFace", |
|
|
"openfree/pick-spaces": "https://huggingface.co/spaces/openfree/pick-spaces", |
|
|
"aiqcamp/diagram": "https://huggingface.co/spaces/aiqcamp/diagram", |
|
|
"openfree/korea-president-yoon": "https://huggingface.co/spaces/openfree/korea-president-yoon", |
|
|
"VIDraft/PaperImpact": "https://huggingface.co/spaces/VIDraft/PaperImpact", |
|
|
"openfree/CryptoVision": "https://huggingface.co/spaces/openfree/CryptoVision", |
|
|
"gunship999/Gunship-3D-FPS": "https://huggingface.co/spaces/gunship999/Gunship-3D-FPS", |
|
|
"fantos/VoiceClone": "https://huggingface.co/spaces/fantos/VoiceClone", |
|
|
"VIDraft/ChemGenesis": "https://huggingface.co/spaces/VIDraft/ChemGenesis", |
|
|
"seawolf2357/ocrlatex": "https://huggingface.co/spaces/seawolf2357/ocrlatex", |
|
|
"seawolf2357/img2vid": "https://huggingface.co/spaces/seawolf2357/img2vid", |
|
|
"seawolf2357/sd-prompt-gen": "https://huggingface.co/spaces/seawolf2357/sd-prompt-gen", |
|
|
"openfree/badassgi": "https://huggingface.co/spaces/openfree/badassgi", |
|
|
"openfree/tarotcard": "https://huggingface.co/spaces/openfree/tarotcard", |
|
|
"openfree/drqxab": "https://huggingface.co/spaces/openfree/drqxab", |
|
|
"aiqcamp/Polaroid": "https://huggingface.co/spaces/aiqcamp/Polaroid", |
|
|
"ginigen/cartoon": "https://huggingface.co/spaces/ginigen/cartoon", |
|
|
"ginigen/Book-Cover": "https://huggingface.co/spaces/ginigen/Book-Cover", |
|
|
"aiqcamp/fash": "https://huggingface.co/spaces/aiqcamp/fash", |
|
|
"gunship999/Korea-Daily-News": "https://huggingface.co/spaces/gunship999/Korea-Daily-News", |
|
|
"kolaslab/Quantum": "https://huggingface.co/spaces/kolaslab/Quantum", |
|
|
"openfree/webtoon": "https://huggingface.co/spaces/openfree/webtoon", |
|
|
"immunobiotech/ChicagoGallery": "https://huggingface.co/spaces/immunobiotech/ChicagoGallery", |
|
|
"immunobiotech/MetropolitanMuseum": "https://huggingface.co/spaces/immunobiotech/MetropolitanMuseum", |
|
|
"immunobiotech/opensky": "https://huggingface.co/spaces/immunobiotech/opensky", |
|
|
"kolaslab/Audio-Visualizer": "https://huggingface.co/spaces/kolaslab/Audio-Visualizer", |
|
|
"kolaslab/Radio-Learning": "https://huggingface.co/spaces/kolaslab/Radio-Learning", |
|
|
"kolaslab/Future-Gallaxy": "https://huggingface.co/spaces/kolaslab/Future-Gallaxy", |
|
|
"openfree/ProteinGenesis": "https://huggingface.co/spaces/openfree/ProteinGenesis", |
|
|
"openfree/2025saju": "https://huggingface.co/spaces/openfree/2025saju", |
|
|
"ginigen/Dokdo-membership": "https://huggingface.co/spaces/ginigen/Dokdo-membership", |
|
|
"VIDraft/eum": "https://huggingface.co/spaces/VIDraft/eum", |
|
|
"kolaslab/VisionART": "https://huggingface.co/spaces/kolaslab/VisionART", |
|
|
"aiqtech/FLUX-military": "https://huggingface.co/spaces/aiqtech/FLUX-military", |
|
|
"fantaxy/Rolls-Royce": "https://huggingface.co/spaces/fantaxy/Rolls-Royce", |
|
|
"seawolf2357/flux-korea-hanbok-lora": "https://huggingface.co/spaces/seawolf2357/flux-korea-hanbok-lora", |
|
|
"seawolf2357/flux-korea-palace-lora": "https://huggingface.co/spaces/seawolf2357/flux-korea-palace-lora", |
|
|
"aiqcamp/flux-cat-lora": "https://huggingface.co/spaces/aiqcamp/flux-cat-lora", |
|
|
"gunship999/SexyImages": "https://huggingface.co/spaces/gunship999/SexyImages", |
|
|
"aiqtech/flux-claude-monet-lora": "https://huggingface.co/spaces/aiqtech/flux-claude-monet-lora", |
|
|
"ginigen/CANVAS-o3": "https://huggingface.co/spaces/ginigen/CANVAS-o3", |
|
|
"kolaslab/world-sdr": "https://huggingface.co/spaces/kolaslab/world-sdr", |
|
|
"seawolf2357/3D-Avatar-Generator": "https://huggingface.co/spaces/seawolf2357/3D-Avatar-Generator", |
|
|
"fantaxy/playground25": "https://huggingface.co/spaces/fantaxy/playground25", |
|
|
"openfree/ultpixgen": "https://huggingface.co/spaces/openfree/ultpixgen", |
|
|
"kolaslab/VISION-NIGHT": "https://huggingface.co/spaces/kolaslab/VISION-NIGHT", |
|
|
"kolaslab/FLUX-WEB": "https://huggingface.co/spaces/kolaslab/FLUX-WEB", |
|
|
"seawolf2357/REALVISXL-V5": "https://huggingface.co/spaces/seawolf2357/REALVISXL-V5", |
|
|
"ginipick/Dokdo-multimodal": "https://huggingface.co/spaces/ginipick/Dokdo-multimodal", |
|
|
"ginigen/theater": "https://huggingface.co/spaces/ginigen/theater", |
|
|
"VIDraft/stock": "https://huggingface.co/spaces/VIDraft/stock", |
|
|
"fantos/flxcontrol": "https://huggingface.co/spaces/fantos/flxcontrol", |
|
|
"fantos/textcutobject": "https://huggingface.co/spaces/fantos/textcutobject", |
|
|
"ginipick/FLUX-Prompt-Generator": "https://huggingface.co/spaces/ginipick/FLUX-Prompt-Generator", |
|
|
"fantaxy/flxloraexp": "https://huggingface.co/spaces/fantaxy/flxloraexp", |
|
|
"fantos/flxloraexp": "https://huggingface.co/spaces/fantos/flxloraexp", |
|
|
"seawolf2357/flxloraexp": "https://huggingface.co/spaces/seawolf2357/flxloraexp", |
|
|
"ginipick/flxloraexp": "https://huggingface.co/spaces/ginipick/flxloraexp", |
|
|
"ginipick/FLUX-Prompt-Generator": "https://huggingface.co/spaces/ginipick/FLUX-Prompt-Generator", |
|
|
"ginigen/Dokdo": "https://huggingface.co/spaces/ginigen/Dokdo", |
|
|
"aiqcamp/imagemagic": "https://huggingface.co/spaces/aiqcamp/imagemagic", |
|
|
"openfree/ColorRevive": "https://huggingface.co/spaces/openfree/ColorRevive", |
|
|
"VIDraft/RAGOndevice": "https://huggingface.co/spaces/VIDraft/RAGOndevice", |
|
|
"gunship999/Radar-Bluetooth": "https://huggingface.co/spaces/gunship999/Radar-Bluetooth", |
|
|
"gunship999/WiFi-VISION": "https://huggingface.co/spaces/gunship999/WiFi-VISION", |
|
|
"gunship999/SONAR-Radar": "https://huggingface.co/spaces/gunship999/SONAR-Radar", |
|
|
"aiqcamp/AudioLlama": "https://huggingface.co/spaces/aiqcamp/AudioLlama", |
|
|
"ginigen/FLUXllama-Multilingual": "https://huggingface.co/spaces/ginigen/FLUXllama-Multilingual", |
|
|
"ginipick/ginimedi": "https://huggingface.co/spaces/ginipick/ginimedi", |
|
|
"ginipick/ginilaw": "https://huggingface.co/spaces/ginipick/ginilaw", |
|
|
"ginipick/ginipharm": "https://huggingface.co/spaces/ginipick/ginipharm", |
|
|
"ginipick/FitGen": "https://huggingface.co/spaces/ginipick/FitGen", |
|
|
"fantaxy/FLUX-Animations": "https://huggingface.co/spaces/fantaxy/FLUX-Animations", |
|
|
"fantaxy/Remove-Video-Background": "https://huggingface.co/spaces/fantaxy/Remove-Video-Background", |
|
|
"fantaxy/ofai-flx-logo": "https://huggingface.co/spaces/fantaxy/ofai-flx-logo", |
|
|
"fantaxy/flx-pulid": "https://huggingface.co/spaces/fantaxy/flx-pulid", |
|
|
"fantaxy/flx-upscale": "https://huggingface.co/spaces/fantaxy/flx-upscale", |
|
|
"aiqcamp/Fashion-FLUX": "https://huggingface.co/spaces/aiqcamp/Fashion-FLUX", |
|
|
"ginipick/StyleGen": "https://huggingface.co/spaces/ginipick/StyleGen", |
|
|
"openfree/StoryStar": "https://huggingface.co/spaces/openfree/StoryStar", |
|
|
"fantos/x-mas": "https://huggingface.co/spaces/fantos/x-mas", |
|
|
"openfree/Korean-Leaderboard": "https://huggingface.co/spaces/openfree/Korean-Leaderboard", |
|
|
"ginipick/FLUXllama": "https://huggingface.co/spaces/ginipick/FLUXllama", |
|
|
"ginipick/SORA-3D": "https://huggingface.co/spaces/ginipick/SORA-3D", |
|
|
"fantaxy/Sound-AI-SFX": "https://huggingface.co/spaces/fantaxy/Sound-AI-SFX", |
|
|
"fantos/flx8lora": "https://huggingface.co/spaces/fantos/flx8lora", |
|
|
"ginigen/Canvas": "https://huggingface.co/spaces/ginigen/Canvas", |
|
|
"fantaxy/erotica": "https://huggingface.co/spaces/fantaxy/erotica", |
|
|
"ginipick/time-machine": "https://huggingface.co/spaces/ginipick/time-machine", |
|
|
"aiqcamp/FLUX-VisionReply": "https://huggingface.co/spaces/aiqcamp/FLUX-VisionReply", |
|
|
"openfree/Tetris-Game": "https://huggingface.co/spaces/openfree/Tetris-Game", |
|
|
"openfree/everychat": "https://huggingface.co/spaces/openfree/everychat", |
|
|
"VIDraft/mouse1": "https://huggingface.co/spaces/VIDraft/mouse1", |
|
|
"kolaslab/alpha-go": "https://huggingface.co/spaces/kolaslab/alpha-go", |
|
|
"ginipick/text3d": "https://huggingface.co/spaces/ginipick/text3d", |
|
|
"openfree/trending-board": "https://huggingface.co/spaces/openfree/trending-board", |
|
|
"cutechicken/tankwar": "https://huggingface.co/spaces/cutechicken/tankwar", |
|
|
"openfree/game-jewel": "https://huggingface.co/spaces/openfree/game-jewel", |
|
|
"VIDraft/mouse-chat": "https://huggingface.co/spaces/VIDraft/mouse-chat", |
|
|
"ginipick/AccDiffusion": "https://huggingface.co/spaces/ginipick/AccDiffusion", |
|
|
"aiqtech/Particle-Accelerator-Simulation": "https://huggingface.co/spaces/aiqtech/Particle-Accelerator-Simulation", |
|
|
"openfree/GiniGEN": "https://huggingface.co/spaces/openfree/GiniGEN", |
|
|
"kolaslab/3DAudio-Spectrum-Analyzer": "https://huggingface.co/spaces/kolaslab/3DAudio-Spectrum-Analyzer", |
|
|
"openfree/trending-news-24": "https://huggingface.co/spaces/openfree/trending-news-24", |
|
|
"ginipick/Realtime-FLUX": "https://huggingface.co/spaces/ginipick/Realtime-FLUX", |
|
|
"VIDraft/prime-number": "https://huggingface.co/spaces/VIDraft/prime-number", |
|
|
"kolaslab/zombie-game": "https://huggingface.co/spaces/kolaslab/zombie-game", |
|
|
"fantos/miro-game": "https://huggingface.co/spaces/fantos/miro-game", |
|
|
"kolaslab/shooting": "https://huggingface.co/spaces/kolaslab/shooting", |
|
|
"VIDraft/Mouse-Hackathon": "https://huggingface.co/spaces/VIDraft/Mouse-Hackathon", |
|
|
"heartsync/stocksimulation": "https://huggingface.co/spaces/heartsync/stocksimulation", |
|
|
"heartsync/assetai": "https://huggingface.co/spaces/heartsync/assetai", |
|
|
"heartsync/stockai": "https://huggingface.co/spaces/heartsync/stockai", |
|
|
"cutechicken/TankWar3D": "https://huggingface.co/spaces/cutechicken/TankWar3D", |
|
|
"kolaslab/RC4-EnDecoder": "https://huggingface.co/spaces/kolaslab/RC4-EnDecoder", |
|
|
"kolaslab/simulator": "https://huggingface.co/spaces/kolaslab/simulator", |
|
|
"kolaslab/calculator": "https://huggingface.co/spaces/kolaslab/calculator", |
|
|
"aiqtech/kofaceid": "https://huggingface.co/spaces/aiqtech/kofaceid", |
|
|
"fantaxy/fastvideogena": "https://huggingface.co/spaces/fantaxy/fastvideogen", |
|
|
"fantos/cogvidx": "https://huggingface.co/spaces/fantos/cogvidx", |
|
|
"fantos/flxfashmodel": "https://huggingface.co/spaces/fantos/flxfashmodel", |
|
|
"fantos/kolcontrl": "https://huggingface.co/spaces/fantos/kolcontrl", |
|
|
"fantos/EveryText": "https://huggingface.co/spaces/fantos/EveryText", |
|
|
"aiqtech/cinevid": "https://huggingface.co/spaces/aiqtech/cinevid", |
|
|
"aiqtech/FLUX-Ghibli-Studio-LoRA": "https://huggingface.co/spaces/aiqtech/FLUX-Ghibli-Studio-LoRA", |
|
|
"aiqtech/flxgif": "https://huggingface.co/spaces/aiqtech/flxgif", |
|
|
"aiqtech/imaginpaint": "https://huggingface.co/spaces/aiqtech/imaginpaint", |
|
|
"fantaxy/Space-Leaderboard": "https://huggingface.co/spaces/fantaxy/Space-Leaderboard", |
|
|
"fantaxy/Travel-Agent": "https://huggingface.co/spaces/fantaxy/Travel-Agent", |
|
|
"fantaxy/handspew-PLUS": "https://huggingface.co/spaces/fantaxy/handspew-PLUS", |
|
|
"fantaxy/SonicOrbit-MAX": "https://huggingface.co/spaces/fantaxy/SonicOrbit-MAX", |
|
|
"fantaxy/Datasets-Convertors": "https://huggingface.co/spaces/fantaxy/Datasets-Convertors", |
|
|
"aiqcamp/Mistral-Devstral": "https://huggingface.co/spaces/aiqcamp/Mistral-Devstral", |
|
|
|
|
|
|
|
|
|
|
|
"nari-labs/Dia-1.6B": "https://huggingface.co/spaces/nari-labs/Dia-1.6B", |
|
|
"upstage/open-ko-llm-leaderboard": "https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard", |
|
|
"LGAI-EXAONE/EXAONE-3.5-Instruct-Demo": "https://huggingface.co/spaces/LGAI-EXAONE/EXAONE-3.5-Instruct-Demo", |
|
|
"LeeSangHoon/HierSpeech_TTS": "https://huggingface.co/spaces/LeeSangHoon/HierSpeech_TTS", |
|
|
"etri-vilab/Ko-LLaVA": "https://huggingface.co/spaces/etri-vilab/Ko-LLaVA", |
|
|
"etri-vilab/KOALA": "https://huggingface.co/spaces/etri-vilab/KOALA", |
|
|
"naver-clova-ix/donut-base-finetuned-cord-v2": "https://huggingface.co/spaces/naver-clova-ix/donut-base-finetuned-cord-v2", |
|
|
"NCSOFT/VARCO_Arena": "https://huggingface.co/spaces/NCSOFT/VARCO_Arena" |
|
|
} |
|
|
|
|
|
def get_spaces_data(sort_type="trending", progress=gr.Progress()): |
|
|
"""์คํ์ด์ค ๋ฐ์ดํฐ ๊ฐ์ ธ์ค๊ธฐ (trending ๋๋ modes)""" |
|
|
url = "https://huggingface.co/api/spaces" |
|
|
params = { |
|
|
'full': 'true', |
|
|
'limit': 1000 |
|
|
} |
|
|
|
|
|
if sort_type == "modes": |
|
|
params['sort'] = 'likes' |
|
|
|
|
|
try: |
|
|
progress(0, desc=f"Fetching {sort_type} spaces data...") |
|
|
response = requests.get(url, params=params) |
|
|
response.raise_for_status() |
|
|
all_spaces = response.json() |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
space_ranks = {} |
|
|
for idx, space in enumerate(all_spaces, 1): |
|
|
space_id = space.get('id', '') |
|
|
|
|
|
|
|
|
|
|
|
if space_id in target_spaces or any( |
|
|
space_id.startswith(prefix + "/") |
|
|
for prefix in ["keeperballon/", "openfree", "vidraft", "ginigen", "heartsync", "seawolf2357", "aiqcamp", "aiqtech", "fantaxy", "fantos", "immunobiotech", "yokoha", "cutechicken","kolaslab", "gunship999"] |
|
|
): |
|
|
space['rank'] = idx |
|
|
space_ranks[space_id] = space |
|
|
|
|
|
|
|
|
|
|
|
spaces = [space_ranks[sid] for sid in space_ranks] |
|
|
spaces.sort(key=lambda x: x['rank']) |
|
|
|
|
|
progress(0.3, desc="Creating visualization...") |
|
|
|
|
|
fig = go.Figure() |
|
|
|
|
|
ids = [space['id'] for space in spaces] |
|
|
ranks = [space['rank'] for space in spaces] |
|
|
likes = [space.get('likes', 0) for space in spaces] |
|
|
titles = [space.get('cardData', {}).get('title') or space.get('title', 'No Title') for space in spaces] |
|
|
|
|
|
fig.add_trace(go.Bar( |
|
|
x=ids, |
|
|
y=ranks, |
|
|
text=[f"Rank: {r}<br>Title: {t}<br>Likes: {l}" |
|
|
for r, t, l in zip(ranks, titles, likes)], |
|
|
textposition='auto', |
|
|
marker_color='rgb(158,202,225)', |
|
|
opacity=0.8 |
|
|
)) |
|
|
|
|
|
fig.update_layout( |
|
|
title={ |
|
|
'text': f'Hugging Face Spaces {sort_type.title()} Rankings (Top 500)', |
|
|
'y':0.95, |
|
|
'x':0.5, |
|
|
'xanchor': 'center', |
|
|
'yanchor': 'top' |
|
|
}, |
|
|
xaxis_title='Space ID', |
|
|
yaxis_title='Rank', |
|
|
yaxis=dict( |
|
|
autorange='reversed', |
|
|
tickmode='array', |
|
|
ticktext=[str(i) for i in range(1, 1001, 20)], |
|
|
tickvals=[i for i in range(1, 1001, 20)], |
|
|
range=[1, 500] |
|
|
), |
|
|
height=800, |
|
|
showlegend=False, |
|
|
template='plotly_white', |
|
|
xaxis_tickangle=-45 |
|
|
) |
|
|
|
|
|
progress(0.6, desc="Creating space cards...") |
|
|
|
|
|
html_content = f""" |
|
|
<div style='padding: 20px; background: #f5f5f5;'> |
|
|
<h2 style='color: #2c3e50;'>{sort_type.title()} Rankings</h2> |
|
|
<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'> |
|
|
""" |
|
|
|
|
|
for space in spaces: |
|
|
space_id = space['id'] |
|
|
rank = space['rank'] |
|
|
title = space.get('cardData', {}).get('title') or space.get('title', 'No Title') |
|
|
likes = space.get('likes', 0) |
|
|
|
|
|
|
|
|
space_url = target_spaces.get(space_id, f"https://huggingface.co/spaces/{space_id}") |
|
|
|
|
|
html_content += f""" |
|
|
<div style=' |
|
|
background: white; |
|
|
padding: 20px; |
|
|
border-radius: 10px; |
|
|
box-shadow: 0 2px 4px rgba(0,0,0,0.1); |
|
|
transition: transform 0.2s; |
|
|
'> |
|
|
<h3 style='color: #34495e;'>Rank #{rank} - {space_id}</h3> |
|
|
<h4 style=' |
|
|
color: #2980b9; |
|
|
margin: 10px 0; |
|
|
font-size: 1.2em; |
|
|
font-weight: bold; |
|
|
text-shadow: 1px 1px 2px rgba(0,0,0,0.1); |
|
|
background: linear-gradient(to right, #3498db, #2980b9); |
|
|
-webkit-background-clip: text; |
|
|
-webkit-text-fill-color: transparent; |
|
|
padding: 5px 0; |
|
|
'>{title}</h4> |
|
|
<p style='color: #7f8c8d; margin-bottom: 10px;'>๐ Likes: {likes}</p> |
|
|
<a href='{space_url}' |
|
|
target='_blank' |
|
|
style=' |
|
|
display: inline-block; |
|
|
padding: 8px 16px; |
|
|
background: #3498db; |
|
|
color: white; |
|
|
text-decoration: none; |
|
|
border-radius: 5px; |
|
|
transition: background 0.3s; |
|
|
'> |
|
|
Visit Space ๐ |
|
|
</a> |
|
|
</div> |
|
|
""" |
|
|
|
|
|
html_content += "</div></div>" |
|
|
|
|
|
df = pd.DataFrame([{ |
|
|
'Rank': space['rank'], |
|
|
'Space ID': space['id'], |
|
|
'Title': space.get('cardData', {}).get('title') or space.get('title', 'No Title'), |
|
|
'Likes': space.get('likes', 0), |
|
|
'URL': target_spaces.get(space['id'], f"https://huggingface.co/spaces/{space['id']}") |
|
|
} for space in spaces]) |
|
|
|
|
|
progress(1.0, desc="Complete!") |
|
|
return fig, html_content, df |
|
|
|
|
|
except Exception as e: |
|
|
print(f"Error in get_spaces_data: {str(e)}") |
|
|
error_html = f'<div style="color: red; padding: 20px;">Error: {str(e)}</div>' |
|
|
error_plot = create_error_plot() |
|
|
return error_plot, error_html, pd.DataFrame() |
|
|
|
|
|
def create_trend_visualization(spaces_data): |
|
|
if not spaces_data: |
|
|
return create_error_plot() |
|
|
|
|
|
fig = go.Figure() |
|
|
|
|
|
ranks = [] |
|
|
for idx, space in enumerate(spaces_data, 1): |
|
|
space_id = space.get('id', '') |
|
|
|
|
|
if space_id in target_spaces or space_id.startswith("openfree/"): |
|
|
ranks.append({ |
|
|
'id': space_id, |
|
|
'rank': idx, |
|
|
'likes': space.get('likes', 0), |
|
|
'title': space.get('title', 'N/A'), |
|
|
'views': space.get('views', 0) |
|
|
}) |
|
|
|
|
|
if not ranks: |
|
|
return create_error_plot() |
|
|
|
|
|
ranks.sort(key=lambda x: x['rank']) |
|
|
|
|
|
ids = [r['id'] for r in ranks] |
|
|
rank_values = [r['rank'] for r in ranks] |
|
|
likes = [r['likes'] for r in ranks] |
|
|
views = [r['views'] for r in ranks] |
|
|
|
|
|
fig.add_trace(go.Bar( |
|
|
x=ids, |
|
|
y=rank_values, |
|
|
text=[f"Rank: {r}<br>Likes: {l}<br>Views: {v}" for r, l, v in zip(rank_values, likes, views)], |
|
|
textposition='auto', |
|
|
marker_color='rgb(158,202,225)', |
|
|
opacity=0.8 |
|
|
)) |
|
|
|
|
|
fig.update_layout( |
|
|
title={ |
|
|
'text': 'Current Trending Ranks (All Target + openfree Spaces)', |
|
|
'y':0.95, |
|
|
'x':0.5, |
|
|
'xanchor': 'center', |
|
|
'yanchor': 'top' |
|
|
}, |
|
|
xaxis_title='Space ID', |
|
|
yaxis_title='Trending Rank', |
|
|
yaxis_autorange='reversed', |
|
|
height=800, |
|
|
showlegend=False, |
|
|
template='plotly_white', |
|
|
xaxis_tickangle=-45 |
|
|
) |
|
|
|
|
|
return fig |
|
|
|
|
|
def get_trending_spaces_without_token(): |
|
|
try: |
|
|
url = "https://huggingface.co/api/spaces" |
|
|
params = { |
|
|
'sort': 'likes', |
|
|
'direction': -1, |
|
|
'limit': 500, |
|
|
'full': 'true' |
|
|
} |
|
|
|
|
|
response = requests.get(url, params=params) |
|
|
|
|
|
if response.status_code == 200: |
|
|
return response.json() |
|
|
else: |
|
|
print(f"API ์์ฒญ ์คํจ (ํ ํฐ ์์): {response.status_code}") |
|
|
print(f"Response: {response.text}") |
|
|
return None |
|
|
except Exception as e: |
|
|
print(f"API ํธ์ถ ์ค ์๋ฌ ๋ฐ์ (ํ ํฐ ์์): {str(e)}") |
|
|
return None |
|
|
|
|
|
if not HF_TOKEN: |
|
|
get_trending_spaces = get_trending_spaces_without_token |
|
|
|
|
|
def create_error_plot(): |
|
|
fig = go.Figure() |
|
|
fig.add_annotation( |
|
|
text="๋ฐ์ดํฐ๋ฅผ ๋ถ๋ฌ์ฌ ์ ์์ต๋๋ค.\n(API ์ธ์ฆ์ด ํ์ํฉ๋๋ค)", |
|
|
xref="paper", |
|
|
yref="paper", |
|
|
x=0.5, |
|
|
y=0.5, |
|
|
showarrow=False, |
|
|
font=dict(size=20) |
|
|
) |
|
|
fig.update_layout( |
|
|
title="Error Loading Data", |
|
|
height=400 |
|
|
) |
|
|
return fig |
|
|
|
|
|
def create_space_info_html(spaces_data): |
|
|
if not spaces_data: |
|
|
return "<div style='padding: 20px;'><h2>๋ฐ์ดํฐ๋ฅผ ๋ถ๋ฌ์ค๋๋ฐ ์คํจํ์ต๋๋ค.</h2></div>" |
|
|
|
|
|
html_content = """ |
|
|
<div style='padding: 20px;'> |
|
|
<h2 style='color: #2c3e50;'>Current Trending Rankings</h2> |
|
|
<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'> |
|
|
""" |
|
|
|
|
|
|
|
|
all_space_keys = set(target_spaces.keys()) |
|
|
|
|
|
for space in spaces_data: |
|
|
space_id = space.get('id') |
|
|
if space_id in all_space_keys or (space_id and space_id.startswith("openfree/")): |
|
|
rank = next((idx for idx, s in enumerate(spaces_data, 1) if s.get('id') == space_id), 'N/A') |
|
|
html_content += f""" |
|
|
<div style=' |
|
|
background: white; |
|
|
padding: 20px; |
|
|
border-radius: 10px; |
|
|
box-shadow: 0 2px 4px rgba(0,0,0,0.1); |
|
|
transition: transform 0.2s; |
|
|
'> |
|
|
<h3 style='color: #34495e;'>#{rank} - {space_id}</h3> |
|
|
<p style='color: #7f8c8d;'>๐ Likes: {space.get('likes', 'N/A')}</p> |
|
|
<p style='color: #7f8c8d;'>๐ Views: {space.get('views', 'N/A')}</p> |
|
|
<p style='color: #2c3e50;'>{space.get('title', 'N/A')}</p> |
|
|
<p style='color: #7f8c8d; font-size: 0.9em;'>{space.get('description', 'N/A')[:100]}...</p> |
|
|
<a href='{target_spaces.get(space_id, f"https://huggingface.co/spaces/{space_id}")}' |
|
|
target='_blank' |
|
|
style=' |
|
|
display: inline-block; |
|
|
padding: 8px 16px; |
|
|
background: #3498db; |
|
|
color: white; |
|
|
text-decoration: none; |
|
|
border-radius: 5px; |
|
|
transition: background 0.3s; |
|
|
'> |
|
|
Visit Space ๐ |
|
|
</a> |
|
|
</div> |
|
|
""" |
|
|
|
|
|
html_content += "</div></div>" |
|
|
return html_content |
|
|
|
|
|
def create_data_table(spaces_data): |
|
|
if not spaces_data: |
|
|
return pd.DataFrame() |
|
|
|
|
|
rows = [] |
|
|
|
|
|
for idx, space in enumerate(spaces_data, 1): |
|
|
space_id = space.get('id', '') |
|
|
if space_id in target_spaces or space_id.startswith("openfree/"): |
|
|
rows.append({ |
|
|
'Rank': idx, |
|
|
'Space ID': space_id, |
|
|
'Likes': space.get('likes', 'N/A'), |
|
|
'Title': space.get('title', 'N/A'), |
|
|
'URL': target_spaces.get(space_id, f"https://huggingface.co/spaces/{space_id}") |
|
|
}) |
|
|
|
|
|
return pd.DataFrame(rows) |
|
|
|
|
|
def refresh_data(): |
|
|
spaces_data = get_trending_spaces() |
|
|
if spaces_data: |
|
|
plot = create_trend_visualization(spaces_data) |
|
|
info = create_space_info_html(spaces_data) |
|
|
df = create_data_table(spaces_data) |
|
|
return plot, info, df |
|
|
else: |
|
|
return create_error_plot(), "<div>API ์ธ์ฆ์ด ํ์ํฉ๋๋ค.</div>", pd.DataFrame() |
|
|
|
|
|
def create_registration_bar_chart(data, type_name="Spaces"): |
|
|
try: |
|
|
top_limit = 500 if type_name == "Spaces" else 3000 |
|
|
if isinstance(data, pd.DataFrame): |
|
|
if type_name == "Models": |
|
|
data = data[data['Global Rank'].apply(lambda x: isinstance(x, (int, float)) or (isinstance(x, str) and x.startswith('#')))] |
|
|
data = data[data['Global Rank'].apply(lambda x: int(str(x).replace('#', '')) if isinstance(x, str) else x) <= top_limit] |
|
|
elif type_name == "Spaces": |
|
|
data = data[data['Rank'].apply(lambda x: isinstance(x, (int, float))) & (data['Rank'] <= top_limit)] |
|
|
|
|
|
id_column = 'Space ID' if type_name == "Spaces" else 'Model ID' |
|
|
registrations = data[id_column].apply(lambda x: x.split('/')[0]).value_counts() |
|
|
else: |
|
|
registrations = {} |
|
|
for item in data: |
|
|
if isinstance(item, dict): |
|
|
rank = item.get('global_rank' if type_name == "Models" else 'rank') |
|
|
if isinstance(rank, str) or rank > top_limit: |
|
|
continue |
|
|
creator = item.get('id', '').split('/')[0] |
|
|
registrations[creator] = registrations.get(creator, 0) + 1 |
|
|
registrations = pd.Series(registrations) |
|
|
|
|
|
registrations = registrations.sort_values(ascending=False) |
|
|
|
|
|
fig = go.Figure(data=[go.Bar( |
|
|
x=registrations.index, |
|
|
y=registrations.values, |
|
|
text=registrations.values, |
|
|
textposition='auto', |
|
|
marker_color='#FF6B6B' |
|
|
)]) |
|
|
|
|
|
fig.update_layout( |
|
|
title=f"Korean {type_name} Registrations by Creator (Top {top_limit})", |
|
|
xaxis_title="Creator ID", |
|
|
yaxis_title="Number of Registrations", |
|
|
showlegend=False, |
|
|
height=400, |
|
|
width=700 |
|
|
) |
|
|
|
|
|
return fig |
|
|
except Exception as e: |
|
|
print(f"Error in create_registration_bar_chart: {str(e)}") |
|
|
return go.Figure() |
|
|
|
|
|
def create_pie_chart(data, total_count, type_name="Spaces"): |
|
|
try: |
|
|
top_limit = 500 if type_name == "Spaces" else 3000 |
|
|
if isinstance(data, pd.DataFrame): |
|
|
if type_name == "Models": |
|
|
data = data[data['Global Rank'].apply(lambda x: isinstance(x, (int, float)) or (isinstance(x, str) and x.startswith('#')))] |
|
|
data = data[data['Global Rank'].apply(lambda x: int(str(x).replace('#', '')) if isinstance(x, str) else x) <= top_limit] |
|
|
elif type_name == "Spaces": |
|
|
data = data[data['Rank'].apply(lambda x: isinstance(x, (int, float))) & (data['Rank'] <= top_limit)] |
|
|
korean_count = len(data) |
|
|
else: |
|
|
if type_name == "Models": |
|
|
korean_count = sum(1 for item in data if isinstance(item.get('global_rank'), (int, float)) and item.get('global_rank') <= top_limit) |
|
|
else: |
|
|
korean_count = sum(1 for item in data if isinstance(item.get('rank'), (int, float)) and item.get('rank') <= top_limit) |
|
|
|
|
|
other_count = total_count - korean_count |
|
|
|
|
|
fig = go.Figure(data=[go.Pie( |
|
|
labels=[f'Korean {type_name} in Top {top_limit}', f'Other {type_name} in Top {top_limit}'], |
|
|
values=[korean_count, other_count], |
|
|
hole=.3, |
|
|
marker_colors=['#FF6B6B', '#4ECDC4'], |
|
|
textinfo='percent+value', |
|
|
hovertemplate="<b>%{label}</b><br>" + |
|
|
"Count: %{value}<br>" + |
|
|
"Percentage: %{percent}<br>" |
|
|
)]) |
|
|
|
|
|
fig.update_layout( |
|
|
title=f"Korean vs Other {type_name} Distribution (Top {top_limit})", |
|
|
showlegend=True, |
|
|
height=400, |
|
|
width=500 |
|
|
) |
|
|
|
|
|
return fig |
|
|
except Exception as e: |
|
|
print(f"Error in create_pie_chart: {str(e)}") |
|
|
return go.Figure() |
|
|
|
|
|
def refresh_all_data(): |
|
|
spaces_results = get_spaces_data("trending") |
|
|
models_results = get_models_data() |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
spaces_pie = create_pie_chart(spaces_results[2], 500, "Spaces") |
|
|
spaces_bar = create_registration_bar_chart(spaces_results[2], "Spaces") |
|
|
|
|
|
models_pie = create_pie_chart(models_results[2], 3000, "Models") |
|
|
models_bar = create_registration_bar_chart(models_results[2], "Models") |
|
|
|
|
|
return [ |
|
|
spaces_results[0], spaces_results[1], spaces_results[2], |
|
|
spaces_pie, spaces_bar, |
|
|
models_results[0], models_results[1], models_results[2], |
|
|
models_pie, models_bar |
|
|
] |
|
|
|
|
|
with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=""" |
|
|
#spaces_pie, #models_pie { |
|
|
min-height: 400px; |
|
|
border-radius: 10px; |
|
|
box-shadow: 0 2px 4px rgba(0,0,0,0.1); |
|
|
} |
|
|
#spaces_bar, #models_bar { |
|
|
min-height: 400px; |
|
|
border-radius: 10px; |
|
|
box-shadow: 0 2px 4px rgba(0,0,0,0.1); |
|
|
} |
|
|
""") as demo: |
|
|
|
|
|
gr.Markdown(""" |
|
|
# ๐ค ํ๊น
ํ์ด์ค 'ํ๊ตญ(์ธ์ด) ๋ฆฌ๋๋ณด๋' |
|
|
HuggingFace๊ฐ ์ ๊ณตํ๋ Spaces์ Models ์ค์๊ฐ ์ธ๊ธฐ ์์ ๋ฐ์ํ์ฌ 'ํ๊ตญ์ธ(๊ธฐ์
/์ธ์ด)'์ ๋ฆฌ์คํธ(๊ณต๊ฐ,๊ฒ์,๋ฆฌ๋๋ณด๋ ๋ฑ)๋ง ๋ถ์. (c)'ํ๊ตญ์ธ๊ณต์ง๋ฅ์งํฅํํ' / ์์ฒญ: [email protected] |
|
|
""") |
|
|
|
|
|
gr.Markdown(""" |
|
|
### [Hot NEWS] ํ๊น
ํ์ด์ค ์ ์ 12์ 'TOP 12'์ ํ๊ตญ 'ginipick'์ 'FLUXllama'์ 'Text3D' 2์ข
์ด ์ ์ ๋จ |
|
|
""") |
|
|
gr.Image("HF-TOP12.png", show_label=False) |
|
|
|
|
|
refresh_btn = gr.Button("๐ ์๋ก ๊ณ ์นจ", variant="primary") |
|
|
|
|
|
with gr.Tab("Spaces Trending"): |
|
|
trending_plot = gr.Plot() |
|
|
with gr.Row(): |
|
|
with gr.Column(scale=1): |
|
|
spaces_pie_chart = gr.Plot( |
|
|
label="Korean Spaces Distribution", |
|
|
elem_id="spaces_pie" |
|
|
) |
|
|
with gr.Column(scale=2): |
|
|
spaces_bar_chart = gr.Plot( |
|
|
label="Registrations by Creator", |
|
|
elem_id="spaces_bar" |
|
|
) |
|
|
trending_info = gr.HTML() |
|
|
trending_df = gr.DataFrame( |
|
|
headers=["Rank", "Space ID", "Title", "Likes", "URL"], |
|
|
datatype=["number", "str", "str", "number", "str"], |
|
|
row_count=(10, "dynamic") |
|
|
) |
|
|
|
|
|
with gr.Tab("Models Trending"): |
|
|
models_plot = gr.Plot() |
|
|
with gr.Row(): |
|
|
with gr.Column(scale=1): |
|
|
models_pie_chart = gr.Plot( |
|
|
label="Korean Models Distribution", |
|
|
elem_id="models_pie" |
|
|
) |
|
|
with gr.Column(scale=2): |
|
|
models_bar_chart = gr.Plot( |
|
|
label="Registrations by Creator", |
|
|
elem_id="models_bar" |
|
|
) |
|
|
models_info = gr.HTML() |
|
|
models_df = gr.DataFrame( |
|
|
headers=["Global Rank", "Model ID", "Title", "Downloads", "Likes", "Korea Search", "URL"], |
|
|
datatype=["str", "str", "str", "str", "str", "str", "str"], |
|
|
row_count=(10, "dynamic") |
|
|
) |
|
|
|
|
|
def refresh_all_data(): |
|
|
try: |
|
|
spaces_results = get_spaces_data("trending") |
|
|
models_results = get_models_data() |
|
|
|
|
|
spaces_pie = create_pie_chart(spaces_results[2], 500, "Spaces") |
|
|
spaces_bar = create_registration_bar_chart(spaces_results[2], "Spaces") |
|
|
|
|
|
models_pie = create_pie_chart(models_results[2], 3000, "Models") |
|
|
models_bar = create_registration_bar_chart(models_results[2], "Models") |
|
|
|
|
|
return [ |
|
|
spaces_results[0], spaces_results[1], spaces_results[2], |
|
|
spaces_pie, spaces_bar, |
|
|
models_results[0], models_results[1], models_results[2], |
|
|
models_pie, models_bar |
|
|
] |
|
|
except Exception as e: |
|
|
print(f"Error in refresh_all_data: {str(e)}") |
|
|
return [None] * 10 |
|
|
|
|
|
refresh_btn.click( |
|
|
fn=refresh_all_data, |
|
|
outputs=[ |
|
|
trending_plot, trending_info, trending_df, |
|
|
spaces_pie_chart, spaces_bar_chart, |
|
|
models_plot, models_info, models_df, |
|
|
models_pie_chart, models_bar_chart |
|
|
] |
|
|
) |
|
|
|
|
|
try: |
|
|
initial_data = refresh_all_data() |
|
|
trending_plot.value = initial_data[0] |
|
|
trending_info.value = initial_data[1] |
|
|
trending_df.value = initial_data[2] |
|
|
spaces_pie_chart.value = initial_data[3] |
|
|
spaces_bar_chart.value = initial_data[4] |
|
|
models_plot.value = initial_data[5] |
|
|
models_info.value = initial_data[6] |
|
|
models_df.value = initial_data[7] |
|
|
models_pie_chart.value = initial_data[8] |
|
|
models_bar_chart.value = initial_data[9] |
|
|
except Exception as e: |
|
|
print(f"Error loading initial data: {str(e)}") |
|
|
gr.Warning("์ด๊ธฐ ๋ฐ์ดํฐ ๋ก๋ ์ค ์ค๋ฅ๊ฐ ๋ฐ์ํ์ต๋๋ค.") |
|
|
|
|
|
demo.launch( |
|
|
server_name="0.0.0.0", |
|
|
server_port=7860, |
|
|
share=False, |
|
|
show_error=True |
|
|
) |
|
|
|
