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Collections including paper arxiv:2404.16710

Models continually pretrained using LayerSkip - https://arxiv.org/abs/2404.16710

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Paper • 2404.16710 • Published Apr 25 • 73
facebook/layerskip-llama2-7B

Text Generation • Updated 22 days ago • 268 • 10
facebook/layerskip-llama2-13B

Text Generation • Updated 22 days ago • 62 • 5
facebook/layerskip-llama2-70B

Text Generation • Updated 6 days ago • 69 • 4

Inference speed increase LLM

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Paper • 2404.16710 • Published Apr 25 • 73

Generation Nation

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Paper • 2409.08239 • Published Sep 12 • 16
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Paper • 2404.16710 • Published Apr 25 • 73

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3 • 31
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17 • 25
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27 • 121
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17 • 21

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24 • 38
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30 • 117
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26 • 47
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28 • 42

Ternary LLMs & Knowledge distillation & SOTA

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1 • 143
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Paper • 2404.16710 • Published Apr 25 • 73
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory

Paper • 2405.08707 • Published May 14 • 27

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7 • 13
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 4

Speculative Decoding

Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting

Paper • 2404.18911 • Published Apr 29 • 29
Accelerating LLM Inference with Staged Speculative Decoding

Paper • 2308.04623 • Published Aug 8, 2023 • 23
An Emulator for Fine-Tuning Large Language Models using Small Language Models

Paper • 2310.12962 • Published Oct 19, 2023 • 14
The Curious Case of Neural Text Degeneration

Paper • 1904.09751 • Published Apr 22, 2019 • 3

Personal reading list

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Paper • 2404.16710 • Published Apr 25 • 73
Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published Apr 25 • 52

Papers - Inference - Draft Model - Early Exit - Dropout

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Paper • 2404.16710 • Published Apr 25 • 73

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