evanatyourservice / llm-jaxLinks
Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.
☆18Updated 4 months ago
Alternatives and similar repositories for llm-jax
Users that are interested in llm-jax are comparing it to the libraries listed below
Sorting:
- ☆47Updated last year
- Collection of autoregressive model implementation☆85Updated 7 months ago
- ☆28Updated last year
- ☆82Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated 11 months ago
- ☆89Updated last year
- ☆19Updated last week
- ☆50Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated last year
- train with kittens!☆63Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆87Updated 3 years ago
- https://x.com/BlinkDL_AI/status/1884768989743882276☆28Updated 7 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated 5 months ago
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆108Updated 9 months ago
- H-Net Dynamic Hierarchical Architecture☆80Updated 2 months ago
- A repository for research on medium sized language models.☆78Updated last year
- NanoGPT (124M) quality in 2.67B tokens☆28Updated 2 months ago
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆66Updated 3 weeks ago
- ☆55Updated last year
- Fork of Flame repo for training of some new stuff in development☆19Updated last week
- DPO, but faster 🚀☆46Updated last year
- NanoGPT-speedrunning for the poor T4 enjoyers☆73Updated 7 months ago
- ☆66Updated 8 months ago
- supporting pytorch FSDP for optimizers☆84Updated last year
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna☆59Updated last month
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆174Updated 5 months ago
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆32Updated 6 months ago
- ☆53Updated last year
- ☆16Updated last year