Hugging Face
Search models, datasets, users...
Ctrl K
Models
Datasets
Spaces
Buckets
Docs
Enterprise
Pricing
Website
Tasks
HuggingChat
Collections
Languages
Organizations
Community
Blog
Posts
Daily Papers
Hardware
Learn
Discord
Forum
GitHub
Solutions
Team & Enterprise
Hugging Face PRO
Enterprise Support
Inference Providers
Inference Endpoints
Storage Buckets
Log In
Sign Up
gen
ginigini
49
263
Follow
aiqtech's profile picture
capturezone's profile picture
ausntmarzi's profile picture
34 followers
·
63 following
AI & ML interests
None yet
Recent Activity
reacted
to
SeaWolf-AI
's
post
with 🚀
7 days ago
SuperCLUE’s November 2026 results highlight why category scores matter when choosing a model. Across the 19 published entries, here are the highest displayed scores in each category, followed by the leader among models labeled open: • Agentic coding: GPT-6.1-Sol (69.23); open: DeepSeek-V4.1-Flash-1017 (65.38). • Mathematical and scientific reasoning: GPT-6.1-Sol (76.32); open: Darwin-180B-RSI-R3 (73.68). • Hallucination control: Gemini-4-Argon (83.19); open: Kimi-K3.1-Pro (67.78). • Precise instruction following: Gemini-4-Argon and GPT-6.1-Sol (68.97 each); open: Kimi-K3.1-Pro (44.83). • Ultra-long context: Gemini-4-Argon (95.63); open: Kimi-K3.1-Pro (87.25). On the overall leaderboard, Gemini-4-Argon (73.62) and GPT-6.1-Sol (71.76) have the highest displayed scores, but neither has an official rank number. Kimi-K3.1-Pro (61.46) holds official rank No. 1 and leads the open models overall, followed by DeepSeek-V4.1-Flash-1017 (58.95, official No. 2) and GLM-5.3 (50.66, official No. 3). These comparisons include entries whose official rank is “-”. Among officially ranked open models only, DeepSeek leads mathematical and scientific reasoning at 71.05. “Open” follows SuperCLUE’s classification, not an independent license review. Scores are benchmark points, not error rates; small differences and results from a Chinese-language-focused evaluation need validation on your own workloads. Detailed evaluation settings and the aggregation formula were not verified for this summary. Read the full breakdown: https://huggingface.co/blog/FINAL-Bench/superclue-november-2026-category-leaders-open-mode Source: SuperCLUE results released November 5, 2026 https://www.superclueai.com/homepage Official November data: https://www.superclueai.com/data/generalboard/2026%E5%B9%B411%E6%9C%88.xlsx
reacted
to
SeaWolf-AI
's
post
with 🔥
7 days ago
SuperCLUE’s November 2026 results highlight why category scores matter when choosing a model. Across the 19 published entries, here are the highest displayed scores in each category, followed by the leader among models labeled open: • Agentic coding: GPT-6.1-Sol (69.23); open: DeepSeek-V4.1-Flash-1017 (65.38). • Mathematical and scientific reasoning: GPT-6.1-Sol (76.32); open: Darwin-180B-RSI-R3 (73.68). • Hallucination control: Gemini-4-Argon (83.19); open: Kimi-K3.1-Pro (67.78). • Precise instruction following: Gemini-4-Argon and GPT-6.1-Sol (68.97 each); open: Kimi-K3.1-Pro (44.83). • Ultra-long context: Gemini-4-Argon (95.63); open: Kimi-K3.1-Pro (87.25). On the overall leaderboard, Gemini-4-Argon (73.62) and GPT-6.1-Sol (71.76) have the highest displayed scores, but neither has an official rank number. Kimi-K3.1-Pro (61.46) holds official rank No. 1 and leads the open models overall, followed by DeepSeek-V4.1-Flash-1017 (58.95, official No. 2) and GLM-5.3 (50.66, official No. 3). These comparisons include entries whose official rank is “-”. Among officially ranked open models only, DeepSeek leads mathematical and scientific reasoning at 71.05. “Open” follows SuperCLUE’s classification, not an independent license review. Scores are benchmark points, not error rates; small differences and results from a Chinese-language-focused evaluation need validation on your own workloads. Detailed evaluation settings and the aggregation formula were not verified for this summary. Read the full breakdown: https://huggingface.co/blog/FINAL-Bench/superclue-november-2026-category-leaders-open-mode Source: SuperCLUE results released November 5, 2026 https://www.superclueai.com/homepage Official November data: https://www.superclueai.com/data/generalboard/2026%E5%B9%B411%E6%9C%88.xlsx
reacted
to
SeaWolf-AI
's
post
with 🤗
7 days ago
SuperCLUE’s November 2026 results highlight why category scores matter when choosing a model. Across the 19 published entries, here are the highest displayed scores in each category, followed by the leader among models labeled open: • Agentic coding: GPT-6.1-Sol (69.23); open: DeepSeek-V4.1-Flash-1017 (65.38). • Mathematical and scientific reasoning: GPT-6.1-Sol (76.32); open: Darwin-180B-RSI-R3 (73.68). • Hallucination control: Gemini-4-Argon (83.19); open: Kimi-K3.1-Pro (67.78). • Precise instruction following: Gemini-4-Argon and GPT-6.1-Sol (68.97 each); open: Kimi-K3.1-Pro (44.83). • Ultra-long context: Gemini-4-Argon (95.63); open: Kimi-K3.1-Pro (87.25). On the overall leaderboard, Gemini-4-Argon (73.62) and GPT-6.1-Sol (71.76) have the highest displayed scores, but neither has an official rank number. Kimi-K3.1-Pro (61.46) holds official rank No. 1 and leads the open models overall, followed by DeepSeek-V4.1-Flash-1017 (58.95, official No. 2) and GLM-5.3 (50.66, official No. 3). These comparisons include entries whose official rank is “-”. Among officially ranked open models only, DeepSeek leads mathematical and scientific reasoning at 71.05. “Open” follows SuperCLUE’s classification, not an independent license review. Scores are benchmark points, not error rates; small differences and results from a Chinese-language-focused evaluation need validation on your own workloads. Detailed evaluation settings and the aggregation formula were not verified for this summary. Read the full breakdown: https://huggingface.co/blog/FINAL-Bench/superclue-november-2026-category-leaders-open-mode Source: SuperCLUE results released November 5, 2026 https://www.superclueai.com/homepage Official November data: https://www.superclueai.com/data/generalboard/2026%E5%B9%B411%E6%9C%88.xlsx
View all activity
Organizations
None yet
ginigini
's Spaces
2
Sort: Recently updated
pinned
Build error
Agents
HeartMuLa
🚀
A Family of Open Sourced Music Foundation Models
Build error
FinePDFs: Liberating 3T of the finest tokens from PDFs
📄