epfml / llm-optimizer-benchmarkLinks
Benchmarking Optimizers for LLM Pretraining
☆47Updated last week
Alternatives and similar repositories for llm-optimizer-benchmark
Users that are interested in llm-optimizer-benchmark are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆86Updated last year
- FROM $f(x)$ AND $g(x)$ TO $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones☆46Updated last month
- Long Context Extension and Generalization in LLMs☆62Updated last year
- Using FlexAttention to compute attention with different masking patterns☆47Updated last year
- ☆53Updated last year
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- Replicating O1 inference-time scaling laws☆91Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆67Updated 8 months ago
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆30Updated 3 months ago
- ☆33Updated 11 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆40Updated 2 months ago
- Defeating the Training-Inference Mismatch via FP16☆166Updated last month
- ☆38Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- Code repository for "RL Grokking Recipe: How RL Unlocks and Transfers New Algorithms in LLMs""☆23Updated 2 months ago
- ☆91Updated last year
- Physics of Language Models, Part 4☆280Updated 3 weeks ago
- Exploration of automated dataset selection approaches at large scales.☆51Updated 9 months ago
- [ICML 2025] From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories and Applications☆52Updated 2 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆89Updated last year
- The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…☆78Updated 11 months ago
- ☆60Updated 6 months ago
- ☆20Updated last month
- Research work aimed at addressing the problem of modeling infinite-length context☆34Updated last week
- [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches☆59Updated 9 months ago
- ☆108Updated 3 months ago
- The repository contains code for Adaptive Data Optimization☆30Updated last year
- ☆107Updated last year
- ☆51Updated last year