Unsloth Dynamic 2.0 Quants Collection New 2.0 version of our Dynamic GGUF + Quants. Dynamic 2.0 achieves superior accuracy & SOTA quantization performance. • 66 items • Updated 5 days ago • 284
One Small Step in Latent, One Giant Leap for Pixels: Fast Latent Upscale Adapter for Your Diffusion Models Paper • 2511.10629 • Published Nov 13 • 122
On the Theoretical Limitations of Embedding-Based Retrieval Paper • 2508.21038 • Published Aug 28 • 20
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model Paper • 2504.08685 • Published Apr 11 • 130
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions Paper • 2403.16627 • Published Mar 25, 2024 • 22
In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss Paper • 2402.10790 • Published Feb 16, 2024 • 42
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Paper • 2403.03507 • Published Mar 6, 2024 • 189
Design2Code: How Far Are We From Automating Front-End Engineering? Paper • 2403.03163 • Published Mar 5, 2024 • 98
Beyond Language Models: Byte Models are Digital World Simulators Paper • 2402.19155 • Published Feb 29, 2024 • 53
In deep reinforcement learning, a pruned network is a good network Paper • 2402.12479 • Published Feb 19, 2024 • 19
Lumiere: A Space-Time Diffusion Model for Video Generation Paper • 2401.12945 • Published Jan 23, 2024 • 86