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Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
Paper • 2608.09444 • Published • 13 -
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.23k • 2 -
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 495 -
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 471 • 1
Kristian Schwethelm
KristianS7
AI & ML interests
Large Language Models
Recent Activity
updated a model 6 days ago
KristianS7/Ouro-2.6B-Thinking updated a model 6 days ago
KristianS7/Ouro-1.4B-Thinking updated a model 6 days ago
KristianS7/Ouro-2.6BOrganizations
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Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
Paper • 2608.09444 • Published • 13 -
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.23k • 2 -
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 495 -
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 471 • 1
Data and models for the paper "How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models"
models 6
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 471 • 1
KristianS7/Ouro-2.6B-Thinking
Text Generation • 3B • Updated • 526
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.23k • 2
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 495
KristianS7/huginn-0125
Text Generation • 4B • Updated • 1.08k
KristianS7/ppo-LunarLander-v2
Reinforcement Learning • Updated