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Large-scale LLM inference engine

Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)

scalable and robust tree-based speculative decoding algorithm

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

[COLM 2024] TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

REST: Retrieval-Based Speculative Decoding, NAACL 2024

[NeurIPS'23] Speculative Decoding with Big Little Decoder

Codes for our paper "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation" (EMNLP 2023 Findings)

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration

Implementation of the paper Fast Inference from Transformers via Speculative Decoding, Leviathan et al. 2023.

minimal C implementation of speculative decoding based on llama2.c

PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation

Dynasurge: Dynamic Tree Speculation for Prompt-Specific Decoding

Accelerating LLM inference with techniques like speculative decoding, quantization, and kernel fusion, focusing on implementing state-of-the-art research papers.

Verification of the effect of speculative decoding in Japanese.

Implementation of Speculative Sampling in "Accelerating Large Language Model Decoding with Speculative Sampling"

一个简单的投机推理实现

Unofficial implementation of Token Recycling self-speculative decoding method.

Reproducibility Project for [NeurIPS'23] Speculative Decoding with Big Little Decoder