lucidrains / ring-attention-pytorch
Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
☆476Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for ring-attention-pytorch
- Transformers with Arbitrarily Large Context☆641Updated 3 months ago
- Ring attention implementation with flash attention☆585Updated last week
- Helpful tools and examples for working with flex-attention☆469Updated 3 weeks ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆193Updated this week
- [ICML 2024] CLLMs: Consistency Large Language Models☆353Updated this week
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆293Updated 5 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆483Updated 3 weeks ago
- This repository contains the experimental PyTorch native float8 training UX☆211Updated 3 months ago
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆214Updated 3 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆647Updated last month
- Triton-based implementation of Sparse Mixture of Experts.☆185Updated last month
- Official PyTorch implementation of QA-LoRA☆117Updated 8 months ago
- Microsoft Automatic Mixed Precision Library☆525Updated last month
- Annotated version of the Mamba paper☆457Updated 8 months ago
- Some preliminary explorations of Mamba's context scaling.☆191Updated 9 months ago
- Pipeline Parallelism for PyTorch☆726Updated 2 months ago
- Explorations into some recent techniques surrounding speculative decoding☆211Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆262Updated last year
- Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers☆195Updated 3 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆305Updated 3 months ago
- Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters☆335Updated last week
- ☆132Updated last year
- DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆373Updated 2 weeks ago
- Scalable toolkit for efficient model alignment☆620Updated this week
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆357Updated this week
- ☆199Updated 5 months ago
- Understand and test language model architectures on synthetic tasks.☆162Updated 6 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆350Updated 8 months ago
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI☆256Updated last week
- Scaling Data-Constrained Language Models☆321Updated last month