imoneoi / bf16_fused_adamLinks
BFloat16 Fused Adam Operator for PyTorch
☆15Updated 10 months ago
Alternatives and similar repositories for bf16_fused_adam
Users that are interested in bf16_fused_adam are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- ☆49Updated last year
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated 2 years ago
- ☆19Updated 4 months ago
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 6 months ago
- DPO, but faster 🚀☆44Updated 9 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated 11 months ago
- ☆118Updated last year
- Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)☆35Updated 6 months ago
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆65Updated last year
- ☆63Updated 5 months ago
- Using FlexAttention to compute attention with different masking patterns☆44Updated 11 months ago
- Collection of autoregressive model implementation☆86Updated 4 months ago
- GoldFinch and other hybrid transformer components☆45Updated last year
- ☆39Updated last year
- RWKV-7: Surpassing GPT☆95Updated 9 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- ☆63Updated 11 months ago
- A repository for research on medium sized language models.☆77Updated last year
- ☆34Updated last year
- ☆40Updated 5 months ago
- Here we will test various linear attention designs.☆62Updated last year
- ☆85Updated last year
- research impl of Native Sparse Attention (2502.11089)☆61Updated 6 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆129Updated 9 months ago
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆44Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆128Updated last year
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆34Updated 3 weeks ago