☆71Jul 11, 2024Updated last year
Alternatives and similar repositories for LTE
Users that are interested in LTE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source Code for the JAIR Paper "Does CLIP Know my Face?" (Demo: https://huggingface.co/spaces/AIML-TUDA/does-clip-know-my-face)☆15Jul 9, 2024Updated last year
- Code for the paper "Function-Space Learning Rates"☆23Jun 3, 2025Updated last year
- Linear Attention Sequence Parallelism (LASP)☆87Jun 4, 2024Updated 2 years ago
- Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation, ICML 2024☆24Jun 26, 2024Updated 2 years ago
- ☆33Jul 8, 2024Updated 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.
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆150Apr 8, 2025Updated last year
- A repository for research on medium sized language models.☆78May 23, 2024Updated 2 years ago
- ☆47Aug 29, 2024Updated last year
- ☆12Feb 11, 2026Updated 4 months ago
- ☆51Oct 29, 2023Updated 2 years ago
- This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.☆108Jul 1, 2024Updated 2 years ago
- ☆22Apr 24, 2025Updated last year
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆474Apr 21, 2024Updated 2 years ago
- This repository contains code for the MicroAdam paper.☆21Dec 14, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆14Aug 16, 2023Updated 2 years ago
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆32Nov 4, 2024Updated last year
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,698Oct 28, 2024Updated last year
- ☆14Mar 31, 2024Updated 2 years ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆279Nov 3, 2023Updated 2 years ago
- ☆234Jun 24, 2024Updated 2 years ago
- The Benefits of a Concise Chain of Thought on Problem Solving in Large Language Models☆25Nov 25, 2024Updated last year
- ☆23Nov 26, 2024Updated last year
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆166Apr 13, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆107Jun 20, 2025Updated last year
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆205Jul 17, 2024Updated last year
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆53Dec 22, 2025Updated 6 months ago
- ☆17Apr 7, 2025Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Apr 15, 2024Updated 2 years ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆26Sep 13, 2024Updated last year
- DeiT implementation for Q-ViT☆26Apr 21, 2025Updated last year
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆87Mar 5, 2024Updated 2 years ago
- ☆17Aug 4, 2025Updated 11 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- NeurIPS 2026 paper: The Geometry of Consolidation — follow-up to HIDE and No-Escape.☆110May 5, 2026Updated last month
- Tiny ASIC implementation for "The Era of 1-bit LLMs All Large Language Models are in 1.58 Bits" matrix multiplication unit☆192Apr 19, 2024Updated 2 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Dec 4, 2022Updated 3 years ago
- ☆18Aug 19, 2024Updated last year
- Unit Scaling demo and experimentation code☆16Mar 12, 2024Updated 2 years ago
- ☆10Nov 21, 2022Updated 3 years ago
- ☆219Nov 25, 2025Updated 7 months ago