mmatena / model_mergingLinks
☆73Updated 3 years ago
Alternatives and similar repositories for model_merging
Users that are interested in model_merging are comparing it to the libraries listed below
Sorting:
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆103Updated 2 years ago
- ☆31Updated last year
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆28Updated last year
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆47Updated 10 months ago
- ☆35Updated last year
- ☆187Updated last year
- ☆96Updated last year
- ☆51Updated last year
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆79Updated 8 months ago
- Test-time-training on nearest neighbors for large language models☆45Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆176Updated last year
- AI Logging for Interpretability and Explainability🔬☆125Updated last year
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated last year
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆18Updated last year
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆90Updated 2 years ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆88Updated 9 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆74Updated 10 months ago
- ☆44Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆84Updated 2 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆66Updated 5 months ago
- ☆50Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆81Updated last year
- ☆14Updated last year
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated 10 months ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆142Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆217Updated 9 months ago
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆79Updated last year
- ☆98Updated last year
- Function Vectors in Large Language Models (ICLR 2024)☆177Updated 4 months ago
- ☆60Updated 5 months ago