cofe-ai / Mu-scalingLinks
Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales
☆32Updated last year
Alternatives and similar repositories for Mu-scaling
Users that are interested in Mu-scaling are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆77Updated last year
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆48Updated 11 months ago
- ☆100Updated 8 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 7 months ago
- The code and data for the paper JiuZhang3.0☆45Updated last year
- ☆47Updated 11 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated 5 months ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆138Updated 3 months ago
- An Experiment on Dynamic NTK Scaling RoPE☆64Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆73Updated 2 weeks ago
- code for Scaling Laws of RoPE-based Extrapolation☆73Updated last year
- Towards Systematic Measurement for Long Text Quality☆35Updated 8 months ago
- Code for preprint "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆39Updated 3 weeks ago
- [ACL 2025, Main Conference] Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process☆28Updated 10 months ago
- This is a personal reimplementation of Google's Infini-transformer, utilizing a small 2b model. The project includes both model and train…☆56Updated last year
- ☆36Updated 8 months ago
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆38Updated 3 weeks ago
- Code for paper "Patch-Level Training for Large Language Models"☆86Updated 6 months ago
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆153Updated 11 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆80Updated last year
- ☆29Updated 5 months ago
- ☆35Updated last year
- Feeling confused about super alignment? Here is a reading list☆42Updated last year
- CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models☆40Updated last year
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆157Updated 8 months ago
- [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models☆47Updated 6 months ago
- Official completion of “Training on the Benchmark Is Not All You Need”.☆32Updated 5 months ago
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆38Updated 8 months ago
- A collection of instruction data and scripts for machine translation.☆20Updated last year