-
Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
Paper • 2608.09444 • Published • 6 -
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 4k • 2 -
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 475 -
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 501 • 1
Kristian Schwethelm
KristianS7
AI & ML interests
Large Language Models
Recent Activity
new activity 2 days ago
KristianS7/Ouro-1.4B:Add trained pre-loop exit gate liked a model 5 days ago
nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 new activity 9 days ago
KristianS7/prepacked-fineweb-edu-llama2-32K-T2048:Add paper, project page and code linksOrganizations
-
Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
Paper • 2608.09444 • Published • 6 -
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 4k • 2 -
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 475 -
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 501 • 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
Text Generation • 1B • Updated • 4k • 2
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 501 • 1
KristianS7/Ouro-2.6B-Thinking
Text Generation • 3B • Updated • 572 • 1
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 475
KristianS7/huginn-0125
Text Generation • 4B • Updated • 479 • 1
KristianS7/ppo-LunarLander-v2
Reinforcement Learning • Updated