eth-easl / fmengine
Utilities for Training Very Large Models
☆57Updated 4 months ago
Alternatives and similar repositories for fmengine:
Users that are interested in fmengine are comparing it to the libraries listed below
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆36Updated last year
- Using FlexAttention to compute attention with different masking patterns☆40Updated 4 months ago
- PyTorch building blocks for OLMo☆49Updated this week
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆35Updated last year
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆67Updated 8 months ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆56Updated this week
- This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…☆31Updated last year
- Supercharge huggingface transformers with model parallelism.☆76Updated 3 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆40Updated last year
- Make triton easier☆44Updated 7 months ago
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- Embedding Recycling for Language models☆38Updated last year
- ☆48Updated 11 months ago
- Train, tune, and infer Bamba model☆80Updated last week
- ☆85Updated 8 months ago
- SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…☆45Updated last year
- A place to store reusable transformer components of my own creation or found on the interwebs☆44Updated this week
- ☆47Updated 5 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆67Updated 9 months ago
- Repository containing the SPIN experiments on the DIBT 10k ranked prompts☆24Updated 10 months ago
- Triton Implementation of HyperAttention Algorithm☆46Updated last year
- Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers☆78Updated 6 months ago
- ☆49Updated 10 months ago
- Here we will test various linear attention designs.☆58Updated 9 months ago
- Truly flash T5 realization!☆61Updated 8 months ago
- Linear Attention Sequence Parallelism (LASP)☆76Updated 7 months ago
- A fast implementation of T5/UL2 in PyTorch using Flash Attention☆78Updated last week
- ☆31Updated 7 months ago
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆42Updated 6 months ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year