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Collections including paper arxiv:2401.06066

Transformers & MoE

SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Paper • 2312.07987 • Published Dec 13, 2023 • 40
Interfacing Foundation Models' Embeddings

Paper • 2312.07532 • Published Dec 12, 2023 • 10
Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 17
TheBloke/quantum-v0.01-GPTQ

Text Generation • Updated Dec 18, 2023 • 14 • 2

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning

Paper • 2311.12631 • Published Nov 21, 2023 • 13
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11 • 42

Mixture of Experts

Memory Augmented Language Models through Mixture of Word Experts

Paper • 2311.10768 • Published Nov 15, 2023 • 16
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 157
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

Paper • 2401.04081 • Published Jan 8 • 70
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11 • 42

Ultra-Long Sequence Distributed Transformer

Paper • 2311.02382 • Published Nov 4, 2023 • 2
Ziya2: Data-centric Learning is All LLMs Need

Paper • 2311.03301 • Published Nov 6, 2023 • 16
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning

Paper • 2311.02103 • Published Nov 1, 2023 • 16
Extending Context Window of Large Language Models via Semantic Compression

Paper • 2312.09571 • Published Dec 15, 2023 • 12

QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models

Paper • 2310.16795 • Published Oct 25, 2023 • 26
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

Paper • 2308.12066 • Published Aug 23, 2023 • 4
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

Paper • 2303.06182 • Published Mar 10, 2023 • 1
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate

Paper • 2112.14397 • Published Dec 29, 2021 • 1

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 17
LLM Augmented LLMs: Expanding Capabilities through Composition

Paper • 2401.02412 • Published Jan 4 • 36
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11 • 42
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 20

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