kriskrisliu / PAT_Pruning-Aware-Tuning

Related projects ⓘ

Alternatives and complementary repositories for PAT_Pruning-Aware-Tuning

• CASIA-IVA-Lab / FLAP
  [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
  ☆37Updated 10 months ago
• raymin0223 / fast_robust_early_exit
  Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
  ☆53Updated last month
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆32Updated 3 months ago
• kyegomez / FlashAttention20Triton
  Triton implementation of Flash Attention2.0
  ☆22Updated last year
• hdong920 / LESS
  ☆45Updated 6 months ago
• yxli2123 / LoSparse
  ☆47Updated last year
• kssteven418 / LTP
  [KDD'22] Learned Token Pruning for Transformers
  ☆93Updated last year
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆44Updated last year
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆41Updated 2 years ago
• yuchaoli / PST
  Source code for IJCAI 2022 Long paper: Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.
  ☆13Updated 2 years ago
• hemingkx / SpecDec
  Codes for our paper "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation" (EMNLP 2023 Findings)
  ☆33Updated 11 months ago
• zyxxmu / DSnoT
  Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…
  ☆37Updated 7 months ago
• Lucky-Lance / SPP
  [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  ☆16Updated 5 months ago
• kamanphoebe / Look-into-MoEs
  A Closer Look into Mixture-of-Experts in Large Language Models
  ☆40Updated 3 months ago
• RUCAIBox / QuantizedEmpirical
  ☆13Updated last year
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆17Updated 4 months ago
• WowCZ / LongMIT
  LongMIT: Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets
  ☆34Updated last month
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆38Updated this week
• zhangsichengsjtu / AFPQ
  AFPQ code implementation
  ☆18Updated last year
• ArminAzizi98 / LaMDA
  ☆11Updated 2 weeks ago
• sail-sg / regmix
  🧬 RegMix: Data Mixture as Regression for Language Model Pre-training
  ☆88Updated last month
• thunlp / Ouroboros
  Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)
  ☆76Updated last month
• bojone / tiger
  A Tight-fisted Optimizer
  ☆47Updated last year
• thu-coai / MiniPLM
  ☆18Updated last week
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆38Updated last year
• thunlp / MoEfication
  ☆108Updated 4 months ago
• pprp / Pruner-Zero
  Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆74Updated 5 months ago
• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆118Updated 4 months ago
• hdong920 / GRIFFIN
  ☆31Updated 2 months ago
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆36Updated 8 months ago