NVIDIA-NeMo / AutomodelLinks
Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
☆245Updated this week
Alternatives and similar repositories for Automodel
Users that are interested in Automodel are comparing it to the libraries listed below
Sorting:
- Training library for Megatron-based models with bi-directional Hugging Face conversion capability☆347Updated this week
- Load compute kernels from the Hub☆359Updated this week
- Memory optimized Mixture of Experts☆72Updated 5 months ago
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆267Updated last week
- Efficient LLM Inference over Long Sequences☆393Updated 6 months ago
- ☆133Updated 7 months ago
- Megatron's multi-modal data loader☆304Updated last week
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆225Updated 7 months ago
- KV cache compression for high-throughput LLM inference☆148Updated 11 months ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆278Updated last month
- QeRL enables RL for 32B LLMs on a single H100 GPU.☆473Updated last month
- The evaluation framework for training-free sparse attention in LLMs☆108Updated 3 months ago
- ArcticInference: vLLM plugin for high-throughput, low-latency inference☆368Updated last week
- Accelerating MoE with IO and Tile-aware Optimizations☆522Updated last week
- Block Diffusion for Ultra-Fast Speculative Decoding☆313Updated last week
- ☆224Updated last month
- Official implementation for Training LLMs with MXFP4☆116Updated 8 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆218Updated this week
- LM engine is a library for pretraining/finetuning LLMs☆108Updated this week
- Triton-based implementation of Sparse Mixture of Experts.☆259Updated 3 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆136Updated last year
- Miles is an enterprise-facing reinforcement learning framework for large-scale MoE post-training and production workloads, forked from an…☆714Updated this week
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆328Updated 2 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆146Updated last year
- ring-attention experiments☆161Updated last year
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆352Updated 8 months ago
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆217Updated 7 months ago
- A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).☆340Updated 3 weeks ago
- ☆219Updated 11 months ago
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆343Updated 3 weeks ago