SmerkyG / gptcore
Fast modular code to create and train cutting edge LLMs
☆64Updated 8 months ago
Alternatives and similar repositories for gptcore:
Users that are interested in gptcore are comparing it to the libraries listed below
- RWKV, in easy to read code☆61Updated last month
- RWKV-7: Surpassing GPT☆71Updated 2 months ago
- RWKV in nanoGPT style☆184Updated 7 months ago
- Griffin MQA + Hawk Linear RNN Hybrid☆85Updated 8 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆115Updated 4 months ago
- ☆75Updated 6 months ago
- ☆49Updated 10 months ago
- ☆180Updated this week
- RWKV infctx trainer, for training arbitary context sizes, to 10k and beyond!☆140Updated 5 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆90Updated last month
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆96Updated 3 months ago
- My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated☆31Updated 5 months ago
- JAX bindings for Flash Attention v2☆83Updated 6 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆111Updated last month
- Implementation of the Llama architecture with RLHF + Q-learning☆157Updated last year
- Normalized Transformer (nGPT)☆145Updated 2 months ago
- Evaluating the Mamba architecture on the Othello game☆44Updated 8 months ago
- Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead☆210Updated 2 weeks ago
- ☆78Updated 9 months ago
- ☆53Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆102Updated last month
- FlashRNN - Fast RNN Kernels with I/O Awareness☆69Updated last month
- GoldFinch and other hybrid transformer components☆42Updated 5 months ago
- Understand and test language model architectures on synthetic tasks.☆175Updated this week
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆95Updated 3 weeks ago
- supporting pytorch FSDP for optimizers☆75Updated last month
- Triton Implementation of HyperAttention Algorithm☆46Updated last year
- Evaluating LLMs with Dynamic Data☆72Updated 2 months ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆55Updated last month
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆67Updated 7 months ago