CLAIRE-Labo / StructuredFFNLinks
The official code of "Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers"
☆19Updated last year
Alternatives and similar repositories for StructuredFFN
Users that are interested in StructuredFFN are comparing it to the libraries listed below
Sorting:
- ☆53Updated last year
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆70Updated last year
- ☆48Updated last year
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- Combining SOAP and MUON☆16Updated 7 months ago
- ☆122Updated last year
- ☆67Updated 10 months ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated 3 months ago
- A toolkit for scaling law research ⚖☆52Updated 8 months ago
- ☆44Updated 7 years ago
- Accelerated First Order Parallel Associative Scan☆190Updated last year
- A library for unit scaling in PyTorch☆130Updated 2 months ago
- Parallel Associative Scan for Language Models☆18Updated last year
- ☆58Updated last year
- research impl of Native Sparse Attention (2502.11089)☆61Updated 7 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆70Updated last month
- supporting pytorch FSDP for optimizers☆83Updated 10 months ago
- An implementation of the Llama architecture, to instruct and delight☆21Updated 4 months ago
- ☆40Updated last month
- Fast, Modern, and Low Precision PyTorch Optimizers☆113Updated last month
- Muon fsdp 2☆44Updated 2 months ago
- HomebrewNLP in JAX flavour for maintable TPU-Training☆50Updated last year
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 6 months ago
- ☆56Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆164Updated 3 months ago
- Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible…☆82Updated last month
- sigma-MoE layer☆20Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆129Updated 9 months ago