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Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
Paper • 2608.09444 • Published • 6 -
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.58k • 2 -
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 489 -
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 494 • 1
Kristian Schwethelm
KristianS7
AI & ML interests
Large Language Models
Recent Activity
liked a model 3 days ago
nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 new activity 7 days ago
KristianS7/prepacked-fineweb-edu-llama2-32K-T2048:Add paper, project page and code links updated a model 20 days ago
KristianS7/Ouro-2.6B-ThinkingOrganizations
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Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
Paper • 2608.09444 • Published • 6 -
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.58k • 2 -
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 489 -
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 494 • 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 • 494 • 1
KristianS7/Ouro-2.6B-Thinking
Text Generation • 3B • Updated • 558 • 1
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.58k • 2
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 489
KristianS7/huginn-0125
Text Generation • 4B • Updated • 439 • 1
KristianS7/ppo-LunarLander-v2
Reinforcement Learning • Updated