pratyushasharma / laserLinks
The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
☆388Updated last year
Alternatives and similar repositories for laser
Users that are interested in laser are comparing it to the libraries listed below
Sorting:
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆660Updated last year
- Official PyTorch implementation of QA-LoRA☆138Updated last year
- ☆223Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆626Updated last year
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆205Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆437Updated 6 months ago
- ☆269Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆423Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆467Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆458Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆243Updated last year
- ☆199Updated 8 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆739Updated 10 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆167Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆431Updated 9 months ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆428Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- A library for easily merging multiple LLM experts, and efficiently train the merged LLM.☆488Updated 11 months ago
- The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…☆374Updated last year
- ☆311Updated last year
- Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with I…☆367Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆698Updated 11 months ago
- PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention…☆290Updated last year
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)☆146Updated 10 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆397Updated last year
- Multipack distributed sampler for fast padding-free training of LLMs☆199Updated 11 months ago
- ☆95Updated 2 years ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆198Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆347Updated 8 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆645Updated last year