Alternatives and similar repositories for wanda:

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

• IST-DASLab / sparsegpt
  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
  ☆775Updated 7 months ago
• horseee / LLM-Pruner
  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…
  ☆979Updated 5 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆597Updated last year
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆129Updated last year
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆416Updated 2 months ago
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆789Updated 5 months ago
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆680Updated 7 months ago
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,216Updated 2 weeks ago
• Vahe1994 / SpQR
  ☆542Updated 3 months ago
• SafeAILab / EAGLE
  Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.
  ☆1,057Updated this week
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆382Updated 8 months ago
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,369Updated 8 months ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆278Updated 2 weeks ago
• yxli2123 / LoftQ
  ☆220Updated 9 months ago
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,095Updated last year
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆362Updated last year
• haoliuhl / ringattention
  Large Context Attention
  ☆693Updated 2 months ago
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆448Updated 11 months ago
• Cornell-RelaxML / quip-sharp
  ☆528Updated 4 months ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆361Updated 3 months ago
• IST-DASLab / gptq
  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
  ☆2,063Updated 11 months ago
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆248Updated 3 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆619Updated 8 months ago
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆646Updated 9 months ago
• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆801Updated 10 months ago
• feifeibear / LLMSpeculativeSampling
  Fast inference from large lauguage models via speculative decoding
  ☆692Updated 7 months ago
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆543Updated last year
• FMInference / DejaVu
  ☆310Updated 11 months ago
• haochengxi / Train_Transformers_with_INT4
  ☆145Updated last year
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆979Updated 8 months ago