snowflakedb / ArcticTrainingLinks
ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
☆190Updated 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☆203Updated this week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆258Updated last week
- ☆206Updated 5 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆138Updated 11 months ago
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆134Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆265Updated 9 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆323Updated 3 months ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆268Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆164Updated 4 months ago
- Load compute kernels from the Hub☆220Updated this week
- PyTorch building blocks for the OLMo ecosystem☆269Updated this week
- KV cache compression for high-throughput LLM inference☆134Updated 6 months ago
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆217Updated this week
- BABILong is a benchmark for LLM evaluation using the needle-in-a-haystack approach.☆208Updated 3 months ago
- ☆215Updated 6 months ago
- Efficient LLM Inference over Long Sequences☆385Updated last month
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆61Updated 9 months ago
- Benchmark suite for LLMs from Fireworks.ai☆76Updated this week
- Scalable toolkit for efficient model reinforcement☆558Updated this week
- Simple extension on vLLM to help you speed up reasoning model without training.☆172Updated 2 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago
- Simple and efficient DeepSeek V3 SFT using pipeline parallel and expert parallel, with both FP8 and BF16 trainings☆68Updated last week
- Easy and Efficient Quantization for Transformers☆198Updated last month
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆123Updated 8 months ago
- LLM KV cache compression made easy☆566Updated this week
- Multipack distributed sampler for fast padding-free training of LLMs☆199Updated 11 months ago
- Storing long contexts in tiny caches with self-study☆121Updated this week
- A project to improve skills of large language models☆501Updated this week
- Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache☆113Updated 3 weeks ago
- code for training & evaluating Contextual Document Embedding models☆196Updated 2 months ago