snowflakedb / ArcticTrainingLinks
ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
☆105Updated this week
Alternatives and similar repositories for ArcticTraining
Users that are interested in ArcticTraining are comparing it to the libraries listed below
Sorting:
- ☆99Updated this week
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆132Updated 9 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆116Updated 6 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆59Updated 7 months ago
- KV cache compression for high-throughput LLM inference☆129Updated 3 months ago
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆117Updated last week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆249Updated this week
- Manage scalable open LLM inference endpoints in Slurm clusters☆258Updated 10 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆75Updated 9 months ago
- The official repo for "LLoCo: Learning Long Contexts Offline"☆116Updated 11 months ago
- Official repository for "Scaling Retrieval-Based Langauge Models with a Trillion-Token Datastore".☆201Updated 3 weeks ago
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆106Updated 2 months ago
- ☆210Updated 4 months ago
- Complex Function Calling Benchmark.☆109Updated 4 months ago
- Simple extension on vLLM to help you speed up reasoning model without training.☆152Updated this week
- Inference server benchmarking tool☆67Updated last month
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆126Updated 6 months ago
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆149Updated last month
- Triton-based implementation of Sparse Mixture of Experts.☆216Updated 6 months ago
- ☆188Updated 3 months ago
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆53Updated last month
- ☆50Updated 7 months ago
- Reproducible, flexible LLM evaluations☆204Updated 3 weeks ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆147Updated 2 months ago
- Benchmark suite for LLMs from Fireworks.ai☆75Updated 2 weeks ago
- ☆41Updated 4 months ago
- The HELMET Benchmark☆149Updated last month
- Async pipelined version of Verl☆91Updated last month
- PyTorch building blocks for the OLMo ecosystem☆222Updated this week