IBM / ColPretLinks
Efficient Scaling laws and collaborative pretraining.
☆18Updated 2 months ago
Alternatives and similar repositories for ColPret
Users that are interested in ColPret are comparing it to the libraries listed below
Sorting:
- ☆20Updated last month
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆30Updated 2 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆40Updated last month
- The repository contains code for Adaptive Data Optimization☆29Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆17Updated 8 months ago
- ☆19Updated 8 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆85Updated last year
- ☆33Updated 11 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- Universal Neurons in GPT2 Language Models☆31Updated last year
- ☆35Updated last year
- ☆106Updated last year
- ☆16Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆45Updated 7 months ago
- Minimum Description Length probing for neural network representations☆20Updated 10 months ago
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆25Updated last year
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆20Updated last year
- ☆89Updated last year
- ☆53Updated last year
- ☆23Updated 10 months ago
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- ☆29Updated last month
- ☆20Updated 4 months ago
- ☆42Updated 5 months ago
- ☆17Updated last year
- ☆15Updated last year
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆31Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year