# Faster Text Generation with Self-Speculative Decoding

DevFeed: [Faster Text Generation with Self-Speculative Decoding](<https://devfeed.tech/articles/faster-text-generation-with-self-speculative-decoding-7307.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/layerskip>)

Author: Aritra Roy Gosthipaty; Mostafa Elhoushi; Pedro Cuenca; Vaibhav Srivastav

Published: 2024-11-20T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [text-generation](<https://devfeed.tech/topics/text-generation.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Transformers](<https://devfeed.tech/topics/transformers.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>)

Tags: [benchmark](<https://devfeed.tech/tags/benchmark.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [latency](<https://devfeed.tech/tags/latency.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [research](<https://devfeed.tech/tags/research.md>), [text-generation](<https://devfeed.tech/tags/text-generation.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

## AI overview

This article explains self-speculative decoding, a technique that uses the early layers of a large language model to generate draft tokens and its deeper layers to verify them. With specialized training, the approach can accelerate text generation, reduce computational costs and latency, save memory, and enable inference on smaller GPUs. The article also demonstrates the method with the transformers library, code examples, benchmarks, and practical deployment guidance.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.