changjonathanc / flex-nano-vllmLinks
FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
☆327Updated last month
Alternatives and similar repositories for flex-nano-vllm
Users that are interested in flex-nano-vllm are comparing it to the libraries listed below
Sorting:
- Load compute kernels from the Hub☆354Updated 2 weeks ago
- ☆225Updated last month
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆195Updated 6 months ago
- An extension of the nanoGPT repository for training small MOE models.☆222Updated 9 months ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆276Updated last month
- ☆178Updated last year
- 👷 Build compute kernels☆196Updated last week
- Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support☆214Updated last week
- PyTorch-native post-training at scale☆577Updated this week
- ☆629Updated this week
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆462Updated this week
- ☆941Updated last month
- Simple & Scalable Pretraining for Neural Architecture Research☆305Updated 3 weeks ago
- Simple MPI implementation for prototyping or learning☆296Updated 4 months ago
- ☆568Updated 3 months ago
- ring-attention experiments☆160Updated last year
- Normalized Transformer (nGPT)☆195Updated last year
- Memory optimized Mixture of Experts☆72Updated 5 months ago
- Dion optimizer algorithm☆409Updated last week
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆351Updated 7 months ago
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆223Updated 6 months ago
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆340Updated last week
- Efficient LLM Inference over Long Sequences☆394Updated 6 months ago
- MoE training for Me and You and maybe other people☆298Updated 2 weeks ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆249Updated 11 months ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆365Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆108Updated 2 months ago
- ☆205Updated last year
- PyTorch building blocks for the OLMo ecosystem☆634Updated this week
- Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"☆573Updated 2 months ago