Alternatives and similar repositories for DarwinLM

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

• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆28Updated last year
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆42Updated last year
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• Nota-NetsPresso / shortened-llm
  Compressed LLMs for Efficient Text Generation [ICLR'24 Workshop]
  ☆88Updated last year
• UNITES-Lab / MC-SMoE
  [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆99Updated 5 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆80Updated last year
• AkideLiu / MiniCache
  ☆10Updated last year
• FasterDecoding / TEAL
  ☆154Updated 9 months ago
• Lucky-Lance / SPP
  [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
  ☆21Updated last year
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆96Updated last year
• jiwonsong-dev / SLEB
  [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
  ☆37Updated 10 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
  ☆111Updated last year
• CASE-Lab-UMD / Unified-MoE-Compression
  The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".
  ☆83Updated 8 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆47Updated last year
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆170Updated last year
• ylsung / rsq
  Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"
  ☆20Updated 5 months ago
• hdong920 / LESS
  ☆53Updated last year
• VILA-Lab / GBLM-Pruner
  Are gradient information useful for pruning of LLMs?
  ☆47Updated 3 months ago
• hdong920 / GRIFFIN
  ☆39Updated last year
• Infini-AI-Lab / Kinetics
  Kinetics: Rethinking Test-Time Scaling Laws
  ☆82Updated 4 months ago
• BaiTheBest / SparseLLM
  Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)
  ☆67Updated 8 months ago
• yangyifei729 / LaCo
  Official implementation for LaCo (EMNLP 2024 Findings)
  ☆20Updated 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
• sramshetty / ShortGPT
  Unofficial implementations of block/layer-wise pruning methods for LLMs.
  ☆72Updated last year
• 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.
  ☆25Updated 7 months ago
• SalesforceAIResearch / GemFilter
  ☆85Updated 3 weeks ago
• Infini-AI-Lab / S2FT
  ☆19Updated 11 months ago
• BaohaoLiao / ApiQ
  [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs
  ☆15Updated last year
• SempraETY / Pruning-via-Merging
  ☆23Updated last year
• Dao-AILab / grouped-latent-attention
  ☆132Updated 6 months ago