A simple, performant, and scalable Jax LLM!
Appears on
Quick read
Latest capture 2026-09-04 10:53
5 paths
Agent instructions and tool configuration found in this repository.
1 observed capture since 2026-09-04. Observed captures are shown by default.
Stars from first capture 0
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Go ahead and axolotl questions
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
llama.cpp fork with additional SOTA quants and improved performance
Ongoing research training transformer models at scale
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.
SGLang is a high-performance serving framework for large language models and multimodal models.
