Mixture-of-Agents Enhances Large Language Model Capabilities Paper • 2406.04692 • Published Jun 7 • 55
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report Paper • 2405.00732 • Published Apr 29 • 118
Quantized-FT-Orca-Math Collection Models trained during quantization aware fine-tuning experiments using PyTorch's FSDP. • 8 items • Updated Aug 20 • 7
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone Paper • 2404.14219 • Published Apr 22 • 253
Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models Paper • 2402.14714 • Published Feb 22 • 4
PERL: Parameter Efficient Reinforcement Learning from Human Feedback Paper • 2403.10704 • Published Mar 15 • 57
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Paper • 2402.17764 • Published Feb 27 • 602
Gemma: Open Models Based on Gemini Research and Technology Paper • 2403.08295 • Published Mar 13 • 47
Design2Code: How Far Are We From Automating Front-End Engineering? Paper • 2403.03163 • Published Mar 5 • 93
AtP*: An efficient and scalable method for localizing LLM behaviour to components Paper • 2403.00745 • Published Mar 1 • 11
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases Paper • 2402.14905 • Published Feb 22 • 126
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling Paper • 2402.12226 • Published Feb 19 • 40
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects Paper • 2402.09052 • Published Feb 14 • 16
Premise Order Matters in Reasoning with Large Language Models Paper • 2402.08939 • Published Feb 14 • 25
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model Paper • 2401.16420 • Published Jan 29 • 55
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Paper • 2401.10774 • Published Jan 19 • 54
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Paper • 2401.10891 • Published Jan 19 • 59