xichen-fy / Fira

Related projects ⓘ

Alternatives and complementary repositories for Fira

• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆59Updated 6 months ago
• sail-sg / SimLayerKV
  The official implementation of paper: SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction.
  ☆36Updated 3 weeks ago
• pprp / Pruner-Zero
  Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆71Updated 5 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆25Updated 4 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆28Updated 5 months ago
• thu-nics / MoA
  The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆94Updated last month
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆49Updated 3 weeks ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆36Updated 3 weeks ago
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆90Updated 2 months ago
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆101Updated last month
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆64Updated 5 months ago
• VITA-Group / llm-kick
  [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.
  ☆17Updated 8 months ago
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆32Updated 2 months ago
• rayleizhu / vllm-ra
  [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts
  ☆34Updated 8 months ago
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆123Updated 6 months ago
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆66Updated 5 months ago
• ChenMnZ / PrefixQuant
  An algorithm for static activation quantization of LLMs
  ☆68Updated this week
• Gaffey / ExCP
  Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".
  ☆41Updated 4 months ago
• FFY0 / AdaKV
  The Official Implementation of Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
  ☆35Updated this week
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆40Updated last month
• wutaiqiang / MoSLoRA
  ☆74Updated 4 months ago
• mutonix / pyramidinfer
  ☆31Updated 2 months ago
• pan-x-c / EE-LLM
  EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).
  ☆47Updated 5 months ago
• YouAreSpecialToMe / QST
  Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
  ☆35Updated last week
• yxli2123 / LoSparse
  ☆46Updated last year
• October2001 / Awesome-KV-Cache-Compression
  📰 Must-read papers on KV Cache Compression (constantly updating 🤗).
  ☆123Updated this week
• waltonfuture / Diff-eRank
  Code for https://arxiv.org/abs/2401.17139 (NeurIPS 2024)
  ☆23Updated this week
• Zefan-Cai / Awesome-LLM-KV-Cache
  Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.
  ☆96Updated this week
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆146Updated 4 months ago
• LZY-the-boys / Twin-Merging
  [NeurIPS2024] Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
  ☆33Updated 3 weeks ago