open-lm-engine / lm-engineLinks
LM engine is a library for pretraining/finetuning LLMs
☆74Updated this week
Alternatives and similar repositories for lm-engine
Users that are interested in lm-engine are comparing it to the libraries listed below
Sorting:
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆92Updated 3 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- ☆14Updated 3 months ago
- train with kittens!☆63Updated last year
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆147Updated last year
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆254Updated last week
- NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference☆68Updated 10 months ago
- ☆46Updated last year
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆260Updated last week
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆155Updated 6 months ago
- The evaluation framework for training-free sparse attention in LLMs☆102Updated 2 weeks ago
- The official repo for "LLoCo: Learning Long Contexts Offline"☆117Updated last year
- nanoGPT-like codebase for LLM training☆109Updated 5 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆86Updated 3 years ago
- EvaByte: Efficient Byte-level Language Models at Scale☆110Updated 6 months ago
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆64Updated 6 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- ☆52Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated last year
- Memory optimized Mixture of Experts☆68Updated 3 months ago
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆69Updated last year
- ☆121Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated 10 months ago
- A MAD laboratory to improve AI architecture designs 🧪☆131Updated 10 months ago
- ☆108Updated last year
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆231Updated last week
- Code for studying the super weight in LLM☆119Updated 10 months ago
- ☆127Updated last year