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SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers
Paper • 2609.01343 • Published • 90 -
LiquidAI/LFM2.5-350M
Text Generation • 0.4B • Updated • 82.6k • 424 -
deepseek-ai/DeepSeek-V4.1-Flash
Image-Text-to-Text • 763B • Updated • 512k • • 3.55k -
mlabonne/LFM2.5-230M-Chess
Text Generation • 0.2B • Updated • 970 • 27
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T1: Terminal Agent Reinforcement Learning for Long-Horizon TasksOrganizations
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deepseek-ai/DeepSeek-V4-Pro
Text Generation • 1.6T • Updated • 562k • • 5.59k -
Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling
Paper • 2605.13301 • Published • 165 -
microsoft/Fara-7B
Image-Text-to-Text • 8B • Updated • 8.75k • 620 -
openbmb/MiniCPM5-1B
Text Generation • 1B • Updated • 599k • 1.14k
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SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers
Paper • 2609.01343 • Published • 90 -
LiquidAI/LFM2.5-350M
Text Generation • 0.4B • Updated • 82.6k • 424 -
deepseek-ai/DeepSeek-V4.1-Flash
Image-Text-to-Text • 763B • Updated • 512k • • 3.55k -
mlabonne/LFM2.5-230M-Chess
Text Generation • 0.2B • Updated • 970 • 27
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deepseek-ai/DeepSeek-V4-Pro
Text Generation • 1.6T • Updated • 562k • • 5.59k -
Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling
Paper • 2605.13301 • Published • 165 -
microsoft/Fara-7B
Image-Text-to-Text • 8B • Updated • 8.75k • 620 -
openbmb/MiniCPM5-1B
Text Generation • 1B • Updated • 599k • 1.14k
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