lucidrains / MEGABYTE-pytorch
Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
☆624Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for MEGABYTE-pytorch
- Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch☆394Updated this week
- LOMO: LOw-Memory Optimization☆979Updated 4 months ago
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,045Updated 10 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆594Updated 3 months ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆435Updated 6 months ago
- The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”☆939Updated 9 months ago
- Transformers with Arbitrarily Large Context☆641Updated 3 months ago
- Code for the ALiBi method for transformer language models (ICLR 2022)☆507Updated last year
- Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"☆537Updated 6 months ago
- Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate …☆624Updated last year
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆205Updated 3 months ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆623Updated 9 months ago
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆225Updated 2 months ago
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆476Updated 3 weeks ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆558Updated 8 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,353Updated 7 months ago
- ☆527Updated 10 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆384Updated 6 months ago
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆293Updated 5 months ago
- Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.☆378Updated 5 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆647Updated last month
- Rectified Rotary Position Embeddings☆341Updated 6 months ago
- [NIPS2023] RRHF & Wombat☆798Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆721Updated 3 months ago
- Official implementation of TransNormerLLM: A Faster and Better LLM☆229Updated 9 months ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆782Updated 4 months ago
- distributed trainer for LLMs☆545Updated 6 months ago
- Scaling Data-Constrained Language Models☆321Updated last month
- batched loras☆336Updated last year
- ☆454Updated last year