Alternatives and similar repositories for relora

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

• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆135Updated last year
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆396Updated last year
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆611Updated last year
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆752Updated 9 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆635Updated 10 months ago
• yxli2123 / LoftQ
  ☆222Updated 11 months ago
• catid / dora
  Implementation of DoRA
  ☆294Updated 11 months ago
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆689Updated 9 months ago
• nikhil-ghosh-berkeley / loraplus
  ☆219Updated 11 months ago
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆386Updated 10 months ago
• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆824Updated last year
• imoneoi / multipack_sampler
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆188Updated 9 months ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆429Updated 4 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.
  ☆547Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆258Updated last year
• Vahe1994 / SpQR
  ☆542Updated 5 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆365Updated last year
• sabetAI / BLoRA
  batched loras
  ☆343Updated last year
• 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…
  ☆1,014Updated 7 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆727Updated 8 months ago
• jondurbin / bagel
  A bagel, with everything.
  ☆320Updated last year
• jongwooko / distillm
  Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)
  ☆217Updated 2 months ago
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,108Updated last year
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆249Updated last year
• bojone / rerope
  Rectified Rotary Position Embeddings
  ☆367Updated last year
• epfml / landmark-attention
  Landmark Attention: Random-Access Infinite Context Length for Transformers
  ☆421Updated last year
• huggingface / datablations
  Scaling Data-Constrained Language Models
  ☆334Updated 8 months ago
• r-three / t-few
  Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
  ☆451Updated last year
• DachengLi1 / LongChat
  Official repository for LongChat and LongEval
  ☆518Updated last year
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆461Updated last year