princeton-nlp / LLM-ShearingLinks
[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
☆617Updated last year
Alternatives and similar repositories for LLM-Shearing
Users that are interested in LLM-Shearing are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of QA-LoRA☆137Updated 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…☆1,026Updated 8 months ago
- A simple and effective LLM pruning approach.☆763Updated 10 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆431Updated 5 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆731Updated 8 months ago
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated 11 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,258Updated 3 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆332Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆463Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆897Updated 4 months ago
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆411Updated 8 months ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆653Updated last year
- Codebase for Merging Language Models (ICML 2024)☆832Updated last year
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆640Updated 11 months ago
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆456Updated 8 months ago
- ☆223Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆295Updated 3 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆857Updated 2 weeks ago
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆221Updated 3 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆692Updated 10 months ago
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆336Updated 8 months ago
- ☆264Updated last year
- Official repository for ORPO☆455Updated last year
- Scalable toolkit for efficient model alignment☆814Updated 3 weeks ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆456Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆810Updated 10 months ago
- Rectified Rotary Position Embeddings☆373Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆556Updated 6 months ago