locuslab / wandaLinks
A simple and effective LLM pruning approach.
☆838Updated last year
Alternatives and similar repositories for wanda
Users that are interested in wanda are comparing it to the libraries listed below
Sorting:
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆863Updated last year
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,097Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆635Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆454Updated 11 months ago
- Official PyTorch implementation of QA-LoRA☆143Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆885Updated last month
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆711Updated last year
- ☆235Updated last year
- Explorations into some recent techniques surrounding speculative decoding☆296Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,314Updated 10 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆390Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆321Updated 10 months ago
- Codebase for Merging Language Models (ICML 2024)☆863Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆473Updated last year
- ☆551Updated last year
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,138Updated 2 years ago
- ☆576Updated last year
- Awesome list for LLM pruning.☆279Updated 3 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆362Updated 2 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆392Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,580Updated last year
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,003Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆470Updated last year
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆498Updated last year
- Fast inference from large lauguage models via speculative decoding☆878Updated last year
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆665Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆367Updated 10 months ago
- Awesome LLM compression research papers and tools.☆1,753Updated 2 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆397Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆551Updated last year