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DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 18 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 93 -
DataComp-LM: In search of the next generation of training sets for language models
Paper • 2406.11794 • Published • 50 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 128
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FineWeb: decanting the web for the finest text data at scale
🍷Generate high-quality web text data for LLM training
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HuggingFaceFW/fineweb
Viewer • Updated • 25B • 317k • 2.02k -
HuggingFaceFW/fineweb-edu
Viewer • Updated • 3.3B • 499k • 648 -
HuggingFaceFW/fineweb-edu-score-2
Viewer • Updated • 13.1B • 160k • 72
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MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 126 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 52 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 14 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 66
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Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
Paper • 2401.12474 • Published • 36 -
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 25 -
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Paper • 2310.00746 • Published • 1 -
LESS: Selecting Influential Data for Targeted Instruction Tuning
Paper • 2402.04333 • Published • 3
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LoRA+: Efficient Low Rank Adaptation of Large Models
Paper • 2402.12354 • Published • 6 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 21 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 13 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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Effective pruning of web-scale datasets based on complexity of concept clusters
Paper • 2401.04578 • Published -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
A Survey on Data Selection for LLM Instruction Tuning
Paper • 2402.05123 • Published • 3 -
LESS: Selecting Influential Data for Targeted Instruction Tuning
Paper • 2402.04333 • Published • 3
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World Model on Million-Length Video And Language With RingAttention
Paper • 2402.08268 • Published • 38 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 80 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 105 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48
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SMOTE: Synthetic Minority Over-sampling Technique
Paper • 1106.1813 • Published • 1 -
Scikit-learn: Machine Learning in Python
Paper • 1201.0490 • Published • 1 -
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Paper • 1406.1078 • Published -
Distributed Representations of Sentences and Documents
Paper • 1405.4053 • Published
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Cached Transformers: Improving Transformers with Differentiable Memory Cache
Paper • 2312.12742 • Published • 14 -
ProTIP: Progressive Tool Retrieval Improves Planning
Paper • 2312.10332 • Published • 8 -
Paloma: A Benchmark for Evaluating Language Model Fit
Paper • 2312.10523 • Published • 13 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 93