catid / doraLinks
Implementation of DoRA
☆301Updated last year
Alternatives and similar repositories for dora
Users that are interested in dora are comparing it to the libraries listed below
Sorting:
- ☆221Updated last year
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)☆147Updated 11 months ago
- PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention…☆291Updated last year
- LoRA and DoRA from Scratch Implementations☆209Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆461Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆388Updated last year
- Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…☆158Updated last year
- Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind☆177Updated 11 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆199Updated last year
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆124Updated last year
- ☆225Updated last year
- Official PyTorch implementation of QA-LoRA☆138Updated last year
- MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning☆358Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆243Updated last year
- ☆269Updated last year
- ☆202Updated 8 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆431Updated last year
- ☆194Updated 2 weeks ago
- A family of compressed models obtained via pruning and knowledge distillation☆348Updated 9 months ago
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆206Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆509Updated last year
- PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)☆373Updated last month
- X-LoRA: Mixture of LoRA Experts☆236Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆169Updated last year
- Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793☆433Updated 3 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆398Updated last year
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆103Updated 2 years ago
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆135Updated last year
- Beyond Language Models: Byte Models are Digital World Simulators☆328Updated last year
- Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with I…☆367Updated last year