cofe-ai / Mu-scaling
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
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆76Updated last year
- ☆98Updated 5 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆47Updated 9 months ago
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆60Updated 4 months ago
- ☆45Updated 9 months ago
- Official completion of “Training on the Benchmark Is Not All You Need”.☆30Updated 2 months ago
- Towards Systematic Measurement for Long Text Quality☆33Updated 6 months ago
- The code and data for the paper JiuZhang3.0☆42Updated 9 months ago
- An Experiment on Dynamic NTK Scaling RoPE☆62Updated last year
- Feeling confused about super alignment? Here is a reading list☆42Updated last year
- This is a personal reimplementation of Google's Infini-transformer, utilizing a small 2b model. The project includes both model and train…☆56Updated 11 months ago
- Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment☆74Updated 9 months ago
- A prototype repo for hybrid training of pipeline parallel and distributed data parallel with comments on core code snippets. Feel free to…☆55Updated last year
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆40Updated 4 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆45Updated 2 months ago
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆117Updated last month
- ☆59Updated 6 months ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆73Updated 9 months ago
- ☆80Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆36Updated 11 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆80Updated 6 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆78Updated last year
- Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process☆24Updated 7 months ago
- Code for paper "Patch-Level Training for Large Language Models"☆81Updated 4 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆158Updated 9 months ago
- A collection of instruction data and scripts for machine translation.☆20Updated last year
- Reformatted Alignment☆115Updated 6 months ago
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆54Updated 8 months ago
- The official repository of the Omni-MATH benchmark.☆77Updated 3 months ago