A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Appears on
Quick read
Latest capture 2026-08-03 03:05
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
6 observed captures since 2026-05-25. Observed captures are shown by default.
Stars from first capture +1955
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Ongoing research training transformer models at scale
Fast inference engine for Transformer models
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Efficient Triton Kernels for LLM Training
A Next-Generation Training Engine Built for Ultra-Large MoE Models
llama.cpp fork with additional SOTA quants and improved performance
