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Collections including paper arxiv:2312.08361

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AtP*: An efficient and scalable method for localizing LLM behaviour to components

Paper • 2403.00745 • Published Mar 1 • 8
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 582
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Paper • 2402.16840 • Published Feb 26 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 108

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Paper • 2312.08361 • Published Dec 13, 2023 • 24
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 27
Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 25
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 582

aMUSEd: An Open MUSE Reproduction

Paper • 2401.01808 • Published Jan 3 • 27
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3 • 27
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Paper • 2401.00604 • Published Dec 31, 2023 • 4
LARP: Language-Agent Role Play for Open-World Games

Paper • 2312.17653 • Published Dec 24, 2023 • 29

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

Paper • 2312.15166 • Published Dec 23, 2023 • 56
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

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Paper • 2312.08361 • Published Dec 13, 2023 • 24
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes

Paper • 2312.06353 • Published Dec 11, 2023 • 5
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache

Paper • 2401.02669 • Published Jan 5 • 14
LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Paper • 2312.11514 • Published Dec 12, 2023 • 255

Language Models

Exponentially Faster Language Modelling

Paper • 2311.10770 • Published Nov 15, 2023 • 117
stabilityai/stable-video-diffusion-img2vid-xt

Image-to-Video • Updated 17 days ago • 129k • 2.43k
LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Paper • 2311.13384 • Published Nov 22, 2023 • 48
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

Paper • 2311.12454 • Published Nov 21, 2023 • 27

Efficient Inference

Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Paper • 2311.04934 • Published Nov 7, 2023 • 26
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Paper • 2311.08692 • Published Nov 15, 2023 • 12
Exponentially Faster Language Modelling

Paper • 2311.10770 • Published Nov 15, 2023 • 117
Memory Augmented Language Models through Mixture of Word Experts

Paper • 2311.10768 • Published Nov 15, 2023 • 16

A Unified View of Long-Sequence Models towards Modeling Million-Scale Dependencies

Paper • 2302.06218 • Published Feb 13, 2023 • 1
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training

Paper • 2306.10209 • Published Jun 16, 2023 • 2
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System

Paper • 2205.10034 • Published May 20, 2022 • 1
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training

Paper • 2303.06318 • Published Mar 11, 2023 • 1

S^{3}: Increasing GPU Utilization during Generative Inference for Higher Throughput

Paper • 2306.06000 • Published Jun 9, 2023 • 1
Fast Distributed Inference Serving for Large Language Models

Paper • 2305.05920 • Published May 10, 2023 • 1
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline

Paper • 2305.13144 • Published May 22, 2023 • 1
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

Paper • 2303.06182 • Published Mar 10, 2023 • 1

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