RobertCsordas / moeLinks
Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
☆38Updated last month
Alternatives and similar repositories for moe
Users that are interested in moe are comparing it to the libraries listed below
Sorting:
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆98Updated 9 months ago
- A repository for research on medium sized language models.☆77Updated last year
- sigma-MoE layer☆20Updated last year
- GoldFinch and other hybrid transformer components☆45Updated 11 months ago
- ☆82Updated 10 months ago
- ☆45Updated last year
- Using FlexAttention to compute attention with different masking patterns☆44Updated 9 months ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated 2 years ago
- ☆48Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆37Updated 4 months ago
- Official code for the paper "Attention as a Hypernetwork"☆39Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆37Updated last year
- ☆55Updated last year
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- ☆81Updated last year
- Here we will test various linear attention designs.☆60Updated last year
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆48Updated 2 years ago
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated 10 months ago
- ☆35Updated last year
- Griffin MQA + Hawk Linear RNN Hybrid☆87Updated last year
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆54Updated last year
- Understanding the correlation between different LLM benchmarks☆29Updated last year
- ☆32Updated last year
- Utilities for Training Very Large Models☆58Updated 9 months ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆32Updated 10 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆89Updated last year
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- ☆20Updated last year