-
Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
Paper • 2608.09444 • Published • 10 -
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.51k • 2 -
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 492 -
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 495 • 1
Kristian Schwethelm
KristianS7
AI & ML interests
Large Language Models
Recent Activity
new activity 3 days ago
KristianS7/prepacked-fineweb-edu-llama2-32K-T2048:Add paper, project page and code links updated a model 16 days ago
KristianS7/Ouro-2.6B-Thinking updated a model 16 days ago
KristianS7/Ouro-1.4B-ThinkingOrganizations
-
Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
Paper • 2608.09444 • Published • 10 -
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.51k • 2 -
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 492 -
KristianS7/Ouro-1.4B-Thinking
Text Generation • 1B • Updated • 495 • 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 • 495 • 1
KristianS7/Ouro-2.6B-Thinking
Text Generation • 3B • Updated • 541 • 1
KristianS7/Ouro-1.4B
Text Generation • 1B • Updated • 3.51k • 2
KristianS7/Ouro-2.6B
Text Generation • 3B • Updated • 492
KristianS7/huginn-0125
Text Generation • 4B • Updated • 1.18k • 1
KristianS7/ppo-LunarLander-v2
Reinforcement Learning • Updated