Open-RS Collection Model weights & datasets in the paper "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t" • 8 items • Updated 8 days ago • 11
Distributed Inference and Fine-tuning of Large Language Models Over The Internet Paper • 2312.08361 • Published Dec 13, 2023 • 28
Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters Paper • 2406.05955 • Published Jun 10, 2024 • 27
SmolLM2 Collection State-of-the-art compact LLMs for on-device applications: 1.7B, 360M, 135M • 16 items • Updated Feb 20 • 251
MobileLLM Collection Optimizing Sub-billion Parameter Language Models for On-Device Use Cases (ICML 2024) https://arxiv.org/abs/2402.14905 • 9 items • Updated Nov 27, 2024 • 111
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss Paper • 2410.17243 • Published Oct 22, 2024 • 93
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents Paper • 2407.04363 • Published Jul 5, 2024 • 31
LLM Compiler Collection Meta LLM Compiler is a state-of-the-art LLM that builds upon Code Llama with improved performance for code optimization and compiler reasoning. • 4 items • Updated Jun 27, 2024 • 151
Latent Consistency Models LoRAs Collection Latent Consistency Models for Stable Diffusion - LoRAs and full fine-tuned weights • 4 items • Updated Nov 10, 2023 • 102
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases Paper • 2402.14905 • Published Feb 22, 2024 • 128