RyokoAI / BigKnow2022Links
BigKnow2022: Bringing Language Models Up to Speed
☆16Updated 2 years ago
Alternatives and similar repositories for BigKnow2022
Users that are interested in BigKnow2022 are comparing it to the libraries listed below
Sorting:
- ☆20Updated last year
- Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719☆22Updated last year
- Official Repository for Efficient Linear-Time Attention Transformers.☆18Updated last year
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆40Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆57Updated last year
- An Experiment on Dynamic NTK Scaling RoPE☆64Updated 2 years ago
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆58Updated last week
- ☆39Updated last year
- triton ver of gqa flash attn, based on the tutorial☆12Updated last year
- ☆11Updated 2 years ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆29Updated last week
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated 2 years ago
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated 2 years ago
- ☆27Updated 5 months ago
- The official code repo and data hub of top_nsigma sampling strategy for LLMs.☆26Updated 10 months ago
- GoldFinch and other hybrid transformer components☆45Updated last year
- A repository for research on medium sized language models.☆77Updated last year
- ☆13Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆40Updated 2 years ago
- ☆27Updated 2 months ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆33Updated last year
- Transformers at any scale☆42Updated last year
- Here we will test various linear attention designs.☆62Updated last year
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆35Updated 2 years ago
- Code for ICML 25 paper "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆48Updated 5 months ago
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- ☆14Updated 3 years ago
- A large-scale RWKV v7(World, PRWKV, Hybrid-RWKV) inference. Capable of inference by combining multiple states(Pseudo MoE). Easy to deploy…☆46Updated 2 months ago
- DPO, but faster 🚀☆46Updated last year