Collection by 
Oct 9, 2024
Collections
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Collection by 
Feb 12, 2024
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MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 152 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 74 -
hustvl/Vim-tiny
Updated • 22
Collection by 
Feb 28, 2024
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BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 51 -
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Paper • 2401.18079 • Published • 8 -
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
Paper • 2402.08958 • Published • 4 -
OneBit: Towards Extremely Low-bit Large Language Models
Paper • 2402.11295 • Published • 24
Collection by 
Feb 9, 2024
Collection by 
Feb 9, 2024
Collection by Oct 9, 2024
Collection by 
Feb 9, 2024
Collection by Feb 12, 2024
-
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 152 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 74 -
hustvl/Vim-tiny
Updated • 22
Collection by 
Feb 9, 2024
Collection by Feb 28, 2024
-
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Paper • 2402.04291 • Published • 51 -
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Paper • 2401.18079 • Published • 8 -
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers
Paper • 2402.08958 • Published • 4 -
OneBit: Towards Extremely Low-bit Large Language Models
Paper • 2402.11295 • Published • 24
Collection by 
Feb 9, 2024
Collection by Feb 9, 2024
Collection by 
Feb 9, 2024
Collection by Feb 9, 2024
Collection by 
Feb 9, 2024