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Collections including paper arxiv:2208.07339

A little guide to building Large Language Models in 2024

Resources mentioned by @thomwolf in https://x.com/Thom_Wolf/status/1773340316835131757

Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 58
A Survey on Data Selection for Language Models

Paper • 2402.16827 • Published Feb 26 • 3
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Paper • 2402.00159 • Published Jan 31 • 55
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Paper • 2306.01116 • Published Jun 1, 2023 • 28

🔧 Optimization Mechanics 🔧

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Paper • 2210.17323 • Published Oct 31, 2022 • 5
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Paper • 2208.07339 • Published Aug 15, 2022 • 4
Hydragen: High-Throughput LLM Inference with Shared Prefixes

Paper • 2402.05099 • Published Feb 7 • 16
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Paper • 2401.10774 • Published Jan 19 • 50

llm/quantization

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

Paper • 2402.17764 • Published Feb 27 • 566
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Paper • 2208.07339 • Published Aug 15, 2022 • 4

LLMs Compression

Sota LLMs Compression

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Paper • 2301.00774 • Published Jan 2, 2023 • 2
LLM-Pruner: On the Structural Pruning of Large Language Models

Paper • 2305.11627 • Published May 19, 2023 • 1
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Paper • 2208.07339 • Published Aug 15, 2022 • 4

QuIP: 2-Bit Quantization of Large Language Models With Guarantees

Paper • 2307.13304 • Published Jul 25, 2023 • 1
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Paper • 2306.03078 • Published Jun 5, 2023 • 2
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Paper • 2308.13137 • Published Aug 25, 2023 • 14
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Paper • 2306.00978 • Published Jun 1, 2023 • 5

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Paper • 2312.11514 • Published Dec 12, 2023 • 253
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Paper • 2312.12456 • Published Dec 16, 2023 • 40
Accelerating LLM Inference with Staged Speculative Decoding

Paper • 2308.04623 • Published Aug 8, 2023 • 20
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Paper • 2208.07339 • Published Aug 15, 2022 • 4

Papers: Quantization

FP8-LM: Training FP8 Large Language Models

Paper • 2310.18313 • Published Oct 27, 2023 • 30
LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Paper • 2310.16836 • Published Oct 25, 2023 • 10
TEQ: Trainable Equivalent Transformation for Quantization of LLMs

Paper • 2310.10944 • Published Oct 17, 2023 • 9
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers

Paper • 2309.16119 • Published Sep 28, 2023 • 1

Stuff I (TheProjectsGuy) have summarized (for time pass). Mostly papers. I do not guarantee that the summaries are fully correct (as I am no expert).

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

Paper • 2402.02519 • Published Feb 4
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 152
Optimal Transport Aggregation for Visual Place Recognition

Paper • 2311.15937 • Published Nov 27, 2023
GOAT: GO to Any Thing

Paper • 2311.06430 • Published Nov 10, 2023 • 14

Neural Network Compression & Quantization

Tracks papers and links about neural network compression and quantization technics

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Paper • 2208.07339 • Published Aug 15, 2022 • 4
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Paper • 2210.17323 • Published Oct 31, 2022 • 5
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Paper • 2211.10438 • Published Nov 18, 2022 • 2
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Paper • 2306.00978 • Published Jun 1, 2023 • 5

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Paper • 2309.07430 • Published Sep 14, 2023 • 25
MindAgent: Emergent Gaming Interaction

Paper • 2309.09971 • Published Sep 18, 2023 • 11
Cure the headache of Transformers via Collinear Constrained Attention

Paper • 2309.08646 • Published Sep 15, 2023 • 12
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 37

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