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Collections including paper arxiv:2404.07143

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 55
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Paper • 2312.12456 • Published Dec 16, 2023 • 40
Cached Transformers: Improving Transformers with Differentiable Memory Cache

Paper • 2312.12742 • Published Dec 20, 2023 • 11
Mini-GPTs: Efficient Large Language Models through Contextual Pruning

Paper • 2312.12682 • Published Dec 20, 2023 • 7

Research Papers

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Paper • 2402.10176 • Published Feb 15 • 33
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 50
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 46
Matryoshka Representation Learning

Paper • 2205.13147 • Published May 26, 2022 • 7

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 570
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 154
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 44
Don't Make Your LLM an Evaluation Benchmark Cheater

Paper • 2311.01964 • Published Nov 3, 2023 • 1

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Paper • 2309.09400 • Published Sep 17, 2023 • 77
PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 51
Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 37
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Paper • 2309.12307 • Published Sep 21, 2023 • 83

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