AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Paper • 2410.20424 • Published 14 days ago • 36
PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs Paper • 2410.05265 • Published Oct 7 • 29
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices Paper • 2410.00531 • Published Oct 1 • 28
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models Paper • 2409.17066 • Published Sep 25 • 27
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models Paper • 2409.17481 • Published Sep 26 • 46
LLM Pruning and Distillation in Practice: The Minitron Approach Paper • 2408.11796 • Published Aug 21 • 53
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning Paper • 2312.11420 • Published Dec 18, 2023 • 2
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation Paper • 2406.16855 • Published Jun 24 • 54
view article Article Overview of natively supported quantization schemes in 🤗 Transformers Sep 12, 2023 • 10
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention Paper • 2405.12981 • Published May 21 • 28
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models Paper • 2405.01535 • Published May 2 • 116
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Model Paper • 2402.17412 • Published Feb 27 • 21
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers Paper • 2401.11605 • Published Jan 21 • 21