nengwp / Lion-vs-AdamLinks
Lion and Adam optimization comparison
☆64Updated 2 years ago
Alternatives and similar repositories for Lion-vs-Adam
Users that are interested in Lion-vs-Adam are comparing it to the libraries listed below
Sorting:
- A Tight-fisted Optimizer☆50Updated 2 years ago
- 基于Gated Attention Unit的Transformer模型(尝鲜版)☆98Updated 2 years ago
- Official implementation of TransNormerLLM: A Faster and Better LLM☆247Updated last year
- This is a personal reimplementation of Google's Infini-transformer, utilizing a small 2b model. The project includes both model and train…☆58Updated last year
- Rectified Rotary Position Embeddings☆380Updated last year
- ☆213Updated last year
- [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)☆126Updated last year
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆124Updated 9 months ago
- Converting Mixtral-8x7B to Mixtral-[1~7]x7B☆22Updated last year
- Implementation of "Attention Is Off By One" by Evan Miller☆196Updated 2 years ago
- (Unofficial) PyTorch implementation of grouped-query attention (GQA) from "GQA: Training Generalized Multi-Query Transformer Models from …☆181Updated last year
- [EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer☆63Updated 2 years ago
- [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling☆87Updated 2 years ago
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆330Updated 8 months ago
- Low-bit optimizers for PyTorch☆132Updated 2 years ago
- A prototype repo for hybrid training of pipeline parallel and distributed data parallel with comments on core code snippets. Feel free to…☆57Updated 2 years ago
- Train llm (bloom, llama, baichuan2-7b, chatglm3-6b) with deepspeed pipeline mode. Faster than zero/zero++/fsdp.☆98Updated last year
- Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales☆32Updated 2 years ago
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆104Updated last year
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆133Updated 6 months ago
- ☆197Updated last year
- ☆105Updated last year
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- ☆118Updated last year
- Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models☆137Updated last year
- A Tight-fisted Optimizer (Tiger), implemented in PyTorch.☆12Updated last year
- A MoE impl for PyTorch, [ATC'23] SmartMoE☆71Updated 2 years ago
- The complete training code of the open-source high-performance Llama model, including the full process from pre-training to RLHF.☆67Updated 2 years ago
- ☆62Updated last year
- ☆106Updated 3 months ago