PrimeIntellect-ai / primeLinks
prime is a framework for efficient, globally distributed training of AI models over the internet.
☆837Updated 5 months ago
Alternatives and similar repositories for prime
Users that are interested in prime are comparing it to the libraries listed below
Sorting:
- OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training☆540Updated 9 months ago
- Distributed Training Over-The-Internet☆961Updated last week
- Async RL Training at Scale☆709Updated this week
- Atropos is a Language Model Reinforcement Learning Environments framework for collecting and evaluating LLM trajectories through diverse …☆726Updated this week
- Checkpoint-engine is a simple middleware to update model weights in LLM inference engines☆775Updated this week
- Minimalistic large language model 3D-parallelism training☆2,267Updated last month
- ☆843Updated last week
- 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
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆659Updated 5 months ago
- An Open Source Toolkit For LLM Distillation☆740Updated 3 months ago
- [NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards☆1,194Updated 2 weeks ago
- Minimalistic 4D-parallelism distributed training framework for education purpose☆1,856Updated last month
- Scalable toolkit for efficient model reinforcement☆931Updated last week
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆915Updated 5 months ago
- OLMoE: Open Mixture-of-Experts Language Models☆886Updated last month
- A Self-adaptation Framework🐙 that adapts LLMs for unseen tasks in real-time!☆1,155Updated 8 months ago
- Pretraining and inference code for a large-scale depth-recurrent language model☆836Updated last week
- Post-training with Tinker☆1,028Updated last week
- Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"☆538Updated 2 weeks ago
- Muon is Scalable for LLM Training☆1,336Updated 2 months ago
- ☆572Updated last year
- Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.☆325Updated last year
- Official implementation of Half-Quadratic Quantization (HQQ)☆883Updated last month
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆296Updated 2 months ago
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆820Updated 2 months ago
- Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU.☆668Updated this week
- A project to improve skills of large language models☆587Updated this week
- Recipes to scale inference-time compute of open models☆1,111Updated 5 months ago
- Efficient LLM Inference over Long Sequences☆390Updated 3 months ago
- A throughput-oriented high-performance serving framework for LLMs☆904Updated last month