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Collections including paper arxiv:2304.01373

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 17
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 14

Pythia Scaling Suite

Pythia is the first LLM suite designed specifically to enable scientific research on LLMs. To learn more see https://github.com/EleutherAI/pythia

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Paper • 2304.01373 • Published Apr 3, 2023 • 9
EleutherAI/pythia-14m

Text Generation • Updated Jul 26, 2023 • 128k • 20
EleutherAI/pythia-70m

Updated Nov 21, 2023 • 87.9k • 64
EleutherAI/pythia-160m

Text Generation • Updated Jul 9, 2023 • 146k • • 30

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Paper • 2304.01373 • Published Apr 3, 2023 • 9
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Paper • 2502.11089 • Published 26 days ago • 142

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

Paper • 2405.19327 • Published May 29, 2024 • 49
LLM360/K2

Text Generation • Updated Jul 29, 2024 • 333 • 87
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 83
LLM360: Towards Fully Transparent Open-Source LLMs

Paper • 2312.06550 • Published Dec 11, 2023 • 57

Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 10
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Paper • 1909.08053 • Published Sep 17, 2019 • 2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 11
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Paper • 2304.01373 • Published Apr 3, 2023 • 9

Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28, 2024 • 20
Linear Transformers with Learnable Kernel Functions are Better In-Context Models

Paper • 2402.10644 • Published Feb 16, 2024 • 81
Repeat After Me: Transformers are Better than State Space Models at Copying

Paper • 2402.01032 • Published Feb 1, 2024 • 24
Zoology: Measuring and Improving Recall in Efficient Language Models

Paper • 2312.04927 • Published Dec 8, 2023 • 2

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Paper • 2304.01373 • Published Apr 3, 2023 • 9
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 244
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 46
microsoft/phi-2

Text Generation • Updated Apr 29, 2024 • 394k • • 3.29k

Crystal_Alchemist

nvidia/nemo-megatron-gpt-20B

Updated Sep 21, 2022 • 17 • 32
Runtime error

1

1

Openai Clip Vit Large Patch14

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nvidia/nemo-megatron-mt5-3B

Updated Dec 1, 2022 • 67 • 12
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Paper • 2307.01952 • Published Jul 4, 2023 • 85

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