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LiangrunFlora avatar

LiangrunFlora/Slow-Fast-Sampling

0
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42 stars·2 forks·Python·8 views

Slow Fast Sampling

Official PyTorch implementation of the paper "Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles" (Slow Fast Sampling).

Features

  • Language Diffusion Models - Accelerating diffusion LLMs with slow-fast sampling.
  • Inference Optimization - Three-principle acceleration for diffusion LLMs.

Star history

Star history chart for liangrunflora/slow-fast-samplingStar history chart for liangrunflora/slow-fast-sampling

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does liangrunflora/slow-fast-sampling do?

Official PyTorch implementation of the paper "Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles" (Slow Fast Sampling).

What are the main features of liangrunflora/slow-fast-sampling?

The main features of liangrunflora/slow-fast-sampling are: Language Diffusion Models, Inference Optimization.

What are some open-source alternatives to liangrunflora/slow-fast-sampling?

Open-source alternatives to liangrunflora/slow-fast-sampling include: s-sahoo/eso-lms — Subham Sekhar Sahoo \ 1 , Zhihan Yang \ 2 , Yash Akhauri †1 , Johnna Liu †1 , Deepansha Singh †1 , Zhoujun Cheng †3 ,… s-sahoo/duo — By Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin Chiu, Volodymyr Kuleshov. liusulin/ddpd — Code repository for the paper Think While You Generate: Discrete Diffusion with Planned Denoising, by Sulin Liu, Juno… bytedance-seed/stable-diffcoder — Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model. cychomatica/freedave — Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models. crys-chen/dpad — Efficiency: DPad-enhanced dLLMs achieve up to a 61.39× speedup over vanilla dLLM baselines. Accuracy: DPad-enhanced…