Google Gemma-3-270m model variants on different fine-tuning
Swee.LOL
sweelol
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AI & ML interests
Hub for Distilled Open Source LLMs
Organizations
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Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective
Paper • 2505.15045 • Published • 55 -
MMaDA: Multimodal Large Diffusion Language Models
Paper • 2505.15809 • Published • 97 -
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Paper • 2505.21600 • Published • 71 -
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
Paper • 2505.22453 • Published • 46
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ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 143 -
ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
Paper • 2506.05010 • Published • 80 -
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
Paper • 2506.05301 • Published • 59 -
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Paper • 2505.16933 • Published • 34
Google Gemma-3-270m model variants on different fine-tuning
-
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 143 -
ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
Paper • 2506.05010 • Published • 80 -
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
Paper • 2506.05301 • Published • 59 -
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Paper • 2505.16933 • Published • 34
-
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective
Paper • 2505.15045 • Published • 55 -
MMaDA: Multimodal Large Diffusion Language Models
Paper • 2505.15809 • Published • 97 -
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing
Paper • 2505.21600 • Published • 71 -
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO
Paper • 2505.22453 • Published • 46