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Mar 31, 2024
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Collection by 
Mar 31, 2024
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Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Paper • 2306.12929 • Published • 13 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 2 -
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Paper • 2310.08041 • Published • 1 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 631
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Mar 31, 2024
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Mar 31, 2024
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Mar 31, 2024
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Mar 2
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Jun 30
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Mar 31, 2024
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Oct 19, 2024
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MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Paper • 2403.19651 • Published • 26 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 30 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47
Collection by Mar 31, 2024
Collection by Mar 2
Collection by Mar 31, 2024
-
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
Paper • 2306.12929 • Published • 13 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 2 -
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Paper • 2310.08041 • Published • 1 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 631
Collection by Mar 2
Collection by Mar 31, 2024
Collection by Jun 30
Collection by Mar 31, 2024
Collection by Mar 31, 2024
Collection by Mar 31, 2024
Collection by Oct 19, 2024
-
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Paper • 2403.19651 • Published • 26 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 30 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47