☆35May 24, 2024Updated 2 years ago
Alternatives and similar repositories for llm-surgeon
Users that are interested in llm-surgeon are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Bitune: Bidirectional Instruction-Tuning☆27Jun 19, 2025Updated last year
- ☆30Jul 22, 2024Updated 2 years ago
- [ICLR 2025] Official implementation of paper "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆25Mar 16, 2025Updated last year
- [ICML 2025] From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories and Applications☆52Oct 30, 2025Updated 9 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆51Apr 9, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆43Feb 4, 2025Updated last year
- [EMNLP 2024] Official implementation of "Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimiza…☆28Feb 21, 2025Updated last year
- Are gradient information useful for pruning of LLMs?☆48Aug 23, 2025Updated 11 months ago
- Github Repo for OATS: Outlier-Aware Pruning through Sparse and Low Rank Decomposition☆20Apr 16, 2025Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆48Jun 4, 2024Updated 2 years ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆71Mar 27, 2025Updated last year
- An implementation of the DISP-LLM method from the NeurIPS 2024 paper: Dimension-Independent Structural Pruning for Large Language Models.☆25Aug 6, 2025Updated last year
- ☆42Oct 31, 2024Updated last year
- This repo contains the code for studying the interplay between quantization and sparsity methods☆26Feb 26, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆42Mar 28, 2024Updated 2 years ago
- Official implementation of ICML'24 paper "LQER: Low-Rank Quantization Error Reconstruction for LLMs"☆19Jul 11, 2024Updated 2 years ago
- ☆11Mar 25, 2024Updated 2 years ago
- ☆61Jun 10, 2024Updated 2 years ago
- ☆54Nov 5, 2024Updated last year
- Implementation of NM sparsity recipe presented in the paper "Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers".☆11Feb 5, 2024Updated 2 years ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆16Feb 15, 2025Updated last year
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆34Jun 9, 2025Updated last year
- A block pruning framework for LLMs.☆28May 17, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This repository contains the code for our ICML 2025 paper——LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection🎉☆26May 29, 2025Updated last year
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆31Feb 17, 2025Updated last year
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- Official Code of The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks[ICML2022]☆16Sep 20, 2022Updated 3 years ago
- ☆23Apr 18, 2022Updated 4 years ago
- This repository contains code for the MicroAdam paper.