LucasPrietoAl / grokking-at-the-edge-of-numerical-stabilityLinks
☆103Updated 3 months ago
Alternatives and similar repositories for grokking-at-the-edge-of-numerical-stability
Users that are interested in grokking-at-the-edge-of-numerical-stability are comparing it to the libraries listed below
Sorting:
- ☆53Updated last year
- Token Omission Via Attention☆127Updated last year
- DeMo: Decoupled Momentum Optimization☆196Updated 11 months ago
- ☆81Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated 10 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆110Updated 6 months ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆193Updated last year
- Mixture of A Million Experts☆49Updated last year
- Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"☆85Updated 2 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated 11 months ago
- PyTorch implementation of models from the Zamba2 series.☆185Updated 9 months ago
- A MAD laboratory to improve AI architecture designs 🧪☆132Updated 10 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆171Updated 4 months ago
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆107Updated 8 months ago
- NanoGPT-speedrunning for the poor T4 enjoyers☆72Updated 6 months ago
- Normalized Transformer (nGPT)☆192Updated 11 months ago
- Understand and test language model architectures on synthetic tasks.☆237Updated last month
- RWKV-7: Surpassing GPT☆98Updated 11 months ago
- H-Net Dynamic Hierarchical Architecture☆80Updated 2 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆131Updated last week
- Collection of autoregressive model implementation☆86Updated 6 months ago
- Attention Kernels for Symmetric Power Transformers☆126Updated last month
- supporting pytorch FSDP for optimizers☆83Updated 11 months ago
- 📄Small Batch Size Training for Language Models☆63Updated last month
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 9 months ago
- This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"☆252Updated this week
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- ☆87Updated last year
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆66Updated last year
- research impl of Native Sparse Attention (2502.11089)☆63Updated 8 months ago