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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 120 -
Multi-Head Mixture-of-Experts
Paper • 2404.15045 • Published • 53 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 230 -
Learn Your Reference Model for Real Good Alignment
Paper • 2404.09656 • Published • 79
Collections
Discover the best community collections!
Collections including paper arxiv:2404.09173
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Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 62 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 42 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 92
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 566 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 94 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 101 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 42
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TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 42 -
Ring Attention with Blockwise Transformers for Near-Infinite Context
Paper • 2310.01889 • Published • 8 -
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 62
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MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 119 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 44 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 9 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 62
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Nemotron-4 15B Technical Report
Paper • 2402.16819 • Published • 40 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 49 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 10 -
Reformer: The Efficient Transformer
Paper • 2001.04451 • Published