Alternatives and similar repositories for BigLittleDecoder

Users that are interested in BigLittleDecoder are comparing it to the libraries listed below

• Infini-AI-Lab / Sirius
  Sirius, an efficient correction mechanism, which significantly boosts Contextual Sparsity models on reasoning tasks while maintaining its…
  ☆21Updated last year
• raymin0223 / fast_robust_early_exit
  Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
  ☆64Updated last year
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆290Updated 10 months ago
• jaymody / speculative-sampling
  Simple implementation of Speculative Sampling in NumPy for GPT-2.
  ☆98Updated 2 years ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆169Updated last year
• epfml / dynamic-sparse-flash-attention
  ☆149Updated 2 years ago
• yxli2123 / LoSparse
  ☆61Updated 2 years ago
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆120Updated last year
• dilab-zju / self-speculative-decoding
  Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**
  ☆208Updated 9 months ago
• shreyansh26 / Speculative-Sampling
  Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind
  ☆105Updated last year
• FasterDecoding / TEAL
  ☆147Updated 9 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆85Updated last year
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆217Updated last year
• henryzhongsc / longctx_bench
  Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…
  ☆86Updated 8 months ago
• thunlp / Ouroboros
  Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)
  ☆111Updated 7 months ago
• stanford-futuredata / stk
  ☆112Updated last year
• insuhan / hyper-attn
  ☆83Updated last year
• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆101Updated 2 years ago
• linfeng93 / BiTA
  An innovative method expediting LLMs via streamlined semi-autoregressive generation and draft verification.
  ☆26Updated 7 months ago
• hdong920 / GRIFFIN
  ☆38Updated last year
• FasterDecoding / SnapKV
  ☆287Updated 4 months ago
• haochengxi / Train_Transformers_with_INT4
  ☆156Updated 2 years ago
• zankner / Hydra
  ☆48Updated last year
• ScalingIntelligence / CATS
  ☆30Updated last year
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆192Updated 2 years ago
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆74Updated 4 months ago
• hdong920 / LESS
  ☆53Updated last year
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆80Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆92Updated 3 months ago
• thunlp / MoEfication
  ☆141Updated last year