How 🤗 Accelerate runs very large models thanks to PyTorch

Introducing 🤗 Accelerate

Accelerate your models with 🤗 Optimum Intel and OpenVINO

Accelerate Large Model Training using PyTorch Fully Sharded Data Parallel

AMD + 🤗: Large Language Models Out-of-the-Box Acceleration with AMD GPU

How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF

arXiv:2607. 19712v1 Announce Type: new Abstract: In RLHF pipelines, reward scoring blocks policy updates.

How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF

In RLHF pipelines, reward scoring blocks policy updates. Slow scoring bottlenecks the entire loop, since no update runs until every rollout gets a score.

Accelerate Large Model Training using DeepSpeed

Accelerating PyTorch distributed fine-tuning with Intel technologies

KernelBench-Verified: Do LLM-Generated Kernels Actually Beat PyTorch?

arXiv:2607. 16241v1 Announce Type: cross Abstract: Recent large language models (LLMs) can generate custom CUDA kernels that appear to outperform PyTorch on benchmarks such as KernelBench.

Towards Engineering Scaling Laws with Pretraining Data Composition

arXiv:2606. 19781v1 Announce Type: cross Abstract: Neural scaling laws describe how model performance improves as a power law in compute, model size, and dataset size.

Accelerating PyTorch Transformers with Intel Sapphire Rapids - part 1

Accelerating PyTorch Transformers with Intel Sapphire Rapids - part 2