The simplest, fastest repository for training/finetuning medium-sized GPTs.
☆188Jan 19, 2026Updated last month
Alternatives and similar repositories for nanoGPT-mup
Users that are interested in nanoGPT-mup are comparing it to the libraries listed below
Sorting:
- ☆20Nov 4, 2025Updated 4 months ago
- maximal update parametrization (µP)☆1,685Jul 17, 2024Updated last year
- ☆13Jun 3, 2024Updated last year
- supporting pytorch FSDP for optimizers☆84Dec 8, 2024Updated last year
- Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.☆18Jul 24, 2025Updated 7 months ago
- Fluid Language Model Benchmarking☆26Sep 16, 2025Updated 5 months ago
- Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…☆355Jul 29, 2024Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆92Oct 30, 2024Updated last year
- ☆124May 28, 2024Updated last year
- codes and plots for "Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs"☆10Dec 30, 2024Updated last year
- ☆53Nov 3, 2024Updated last year
- The official Languini Kitchen repository☆14May 6, 2024Updated last year
- High-performance tokenized language data-loader for Python C++ extension☆14Jul 22, 2024Updated last year
- 🚀 Collection of libraries used with fms-hf-tuning to accelerate fine-tuning and training of large models.☆13Jan 30, 2026Updated last month
- An implementation of the Llama architecture, to instruct and delight☆21May 31, 2025Updated 9 months ago
- GoldFinch and other hybrid transformer components☆45Jul 20, 2024Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Apr 17, 2024Updated last year
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆86Jul 28, 2024Updated last year
- Minimal but scalable implementation of large language models in JAX☆35Nov 28, 2025Updated 3 months ago
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆24Mar 25, 2025Updated 11 months ago
- ☆23Oct 15, 2024Updated last year
- ☆21Mar 3, 2025Updated last year
- [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers☆15Feb 12, 2026Updated 3 weeks ago
- A library for unit scaling in PyTorch☆133Jul 11, 2025Updated 7 months ago
- Scaling Data-Constrained Language Models☆342Jun 28, 2025Updated 8 months ago
- ☆215Aug 14, 2024Updated last year
- ☆63Oct 3, 2024Updated last year
- Stick-breaking attention☆62Jul 1, 2025Updated 8 months ago
- 🧱 Modula software package☆323Aug 18, 2025Updated 6 months ago
- Understand and test language model architectures on synthetic tasks.☆257Feb 24, 2026Updated last week
- ☆24Jun 4, 2024Updated last year
- My attempt to improve the speed of the newton schulz algorithm, starting from the dion implementation.☆32Dec 5, 2025Updated 3 months ago
- Official code release for "SuperBPE: Space Travel for Language Models"☆89Jan 9, 2026Updated last month
- ☆91Aug 18, 2024Updated last year
- ☆282Apr 25, 2023Updated 2 years ago
- ☆252Dec 2, 2024Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆89Sep 26, 2024Updated last year
- Efficient optimizers☆285Dec 20, 2025Updated 2 months ago
- H-Net Dynamic Hierarchical Architecture☆81Sep 11, 2025Updated 5 months ago