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SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
Paper • 2312.07987 • Published • 41 -
Interfacing Foundation Models' Embeddings
Paper • 2312.07532 • Published • 15 -
Point Transformer V3: Simpler, Faster, Stronger
Paper • 2312.10035 • Published • 20 -
TheBloke/quantum-v0.01-GPTQ
Text Generation • Updated • 17 • 2
Collections
Discover the best community collections!
Collections including paper arxiv:2312.07987
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Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Paper • 2312.03818 • Published • 33 -
Scaling Laws of Synthetic Images for Model Training ... for Now
Paper • 2312.04567 • Published • 8 -
Large Language Models for Mathematicians
Paper • 2312.04556 • Published • 13 -
LooseControl: Lifting ControlNet for Generalized Depth Conditioning
Paper • 2312.03079 • Published • 15
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togethercomputer/StripedHyena-Hessian-7B
Text Generation • Updated • 147 • 65 -
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention
Paper • 2312.08618 • Published • 15 -
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
Paper • 2312.07987 • Published • 41 -
LLM360: Towards Fully Transparent Open-Source LLMs
Paper • 2312.06550 • Published • 57
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QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models
Paper • 2310.16795 • Published • 27 -
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Paper • 2308.12066 • Published • 4 -
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference
Paper • 2303.06182 • Published • 1 -
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate
Paper • 2112.14397 • Published • 1
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Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 25 -
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
Paper • 2308.16137 • Published • 40 -
Scaling Transformer to 1M tokens and beyond with RMT
Paper • 2304.11062 • Published • 3 -
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Paper • 2309.14509 • Published • 18
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 27 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 44 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 97 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 12
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CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 85 -
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 54 -
Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 38 -
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 88