snowflakedb / ArcticTrainingLinks
ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
☆231Updated this week
Alternatives and similar repositories for ArcticTraining
Users that are interested in ArcticTraining are comparing it to the libraries listed below
Sorting:
- ArcticInference: vLLM plugin for high-throughput, low-latency inference☆283Updated this week
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆236Updated last week
- ☆222Updated 3 weeks ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆270Updated 3 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆344Updated 5 months ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆273Updated last year
- A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM☆60Updated this week
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆254Updated this week
- Efficient LLM Inference over Long Sequences☆390Updated 3 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆147Updated last year
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆197Updated 4 months ago
- PyTorch building blocks for the OLMo ecosystem☆307Updated last week
- BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.☆215Updated last month
- Benchmark suite for LLMs from Fireworks.ai☆82Updated last week
- An extension of the nanoGPT repository for training small MOE models.☆202Updated 7 months ago
- Load compute kernels from the Hub☆304Updated 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
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated last year
- REST: Retrieval-Based Speculative Decoding, NAACL 2024☆210Updated last month
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆248Updated 8 months ago
- ☆218Updated 9 months ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆342Updated 10 months ago
- The code for the paper ROUTERBENCH: A Benchmark for Multi-LLM Routing System☆145Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆130Updated 10 months ago
- Memory optimized Mixture of Experts☆68Updated 3 months ago
- Reproducible, flexible LLM evaluations☆257Updated this week
- A family of compressed models obtained via pruning and knowledge distillation☆352Updated 11 months ago
- Training library for Megatron-based models☆125Updated this week
- Pytorch DTensor native training library for LLMs/VLMs with OOTB Hugging Face support☆135Updated this week
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year