epfml / pamLinks
☆17Updated last year
Alternatives and similar repositories for pam
Users that are interested in pam are comparing it to the libraries listed below
Sorting:
- Xmixers: A collection of SOTA efficient token/channel mixers☆11Updated last month
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆33Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆40Updated last year
- Kinetics: Rethinking Test-Time Scaling Laws☆79Updated last month
- ☆22Updated 5 months ago
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆19Updated 2 months ago
- HGRN2: Gated Linear RNNs with State Expansion☆54Updated last year
- Open-sourcing code associated with the AAAI-25 paper "On the Expressiveness and Length Generalization of Selective State-Space Models on …☆14Updated 3 months ago
- Flash-Linear-Attention models beyond language☆16Updated last month
- ☆14Updated 2 years ago
- Here we will test various linear attention designs.☆62Updated last year
- AdaSplash: Adaptive Sparse Flash Attention (aka Flash Entmax Attention)☆19Updated last month
- Official PyTorch implementation of CD-MOE☆12Updated 5 months ago
- Implementation of Hyena Hierarchy in JAX☆10Updated 2 years ago
- ☆29Updated last year
- Beyond KV Caching: Shared Attention for Efficient LLMs☆19Updated last year
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆52Updated 9 months ago
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆29Updated last year
- Using FlexAttention to compute attention with different masking patterns☆44Updated 11 months ago
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)☆33Updated 10 months ago
- ☆106Updated last year
- [ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang☆14Updated last year
- ☆49Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆40Updated last year
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)☆31Updated 2 years ago
- Are gradient information useful for pruning of LLMs?☆46Updated last week