CLAIRE-Labo / flash_attention
A basic pure pytorch implementation of flash attention
☆16Updated 6 months ago
Alternatives and similar repositories for flash_attention:
Users that are interested in flash_attention are comparing it to the libraries listed below
- ☆78Updated 10 months ago
- Triton Implementation of HyperAttention Algorithm☆47Updated last year
- ☆37Updated last year
- Official implementation of "The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs"☆22Updated last week
- Code for the paper "Function-Space Learning Rates"☆19Updated 3 weeks ago
- ☆26Updated last year
- ☆30Updated 5 months ago
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆49Updated last month
- ☆31Updated 4 months ago
- ☆19Updated last month
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆31Updated last year
- LL3M: Large Language and Multi-Modal Model in Jax☆72Updated last year
- ☆78Updated 8 months ago
- ☆26Updated last month
- Minimal but scalable implementation of large language models in JAX☆34Updated 6 months ago
- [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"☆97Updated 3 weeks ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆29Updated last month
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated 11 months ago
- ☆31Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆123Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated 8 months ago
- Focused on fast experimentation and simplicity☆72Updated 4 months ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆37Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆83Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆55Updated 11 months ago
- ☆53Updated last year
- Minimal (truly) muP implementation, consistent with TP4 and TP5 papers notation☆12Updated this week
- supporting pytorch FSDP for optimizers☆80Updated 5 months ago