open-lm-engine / lm-engineLinks
LM engine is a library for pretraining/finetuning LLMs
☆102Updated 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:
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆146Updated last year
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆131Updated last year
- Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support☆214Updated this week
- Memory optimized Mixture of Experts☆72Updated 5 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆90Updated last year
- ☆47Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆108Updated 2 months ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆90Updated 5 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆157Updated 8 months ago
- Official implementation for Training LLMs with MXFP4☆116Updated 8 months ago
- ☆15Updated 5 months ago
- Simple & Scalable Pretraining for Neural Architecture Research☆305Updated 3 weeks ago
- The official repo for "LLoCo: Learning Long Contexts Offline"☆118Updated last year
- train with kittens!☆63Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆135Updated last year
- ☆113Updated last month
- Docker image NVIDIA GH200 machines - optimized for vllm serving and hf trainer finetuning☆52Updated 10 months ago
- ☆54Updated last year
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆273Updated this week
- Write a fast kernel and run it on Discord. See how you compare against the best!☆64Updated last week
- ☆124Updated last year
- ☆219Updated 11 months ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆79Updated last year
- Triton-based implementation of Sparse Mixture of Experts.☆259Updated 2 months ago
- NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference☆69Updated last year
- Code for studying the super weight in LLM☆121Updated last year
- Load compute kernels from the Hub☆352Updated last week
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆340Updated last week