AI Research Atlas

ESFT: Expert-Specialized Fine-Tuning for MoE

DeepSeek · 2 July 2024

Fine-tune only the experts a task routes to and freeze the rest; matches or beats full fine-tuning of a DeepSeek MoE at lower cost.

Finds that routing for a given task concentrates on few experts, then tunes just those. Works best with fine-grained experts like DeepSeekMoE's. Adapter checkpoints for DeepSeek-V2-Lite were posted on Hugging Face.

Date
Tuesday, 2 July 2024
Lab
DeepSeek
Kind
paper
Access
open weights

Figures

MeasureValueMeasured by
PaperarXiv 2407.01906
Submitted 2024-07-02; claims tuning efficiency up and performance on par with or above full-parameter fine-tuning
company

Hugging Face ESFT adapter repos were created 2024-07-04. Results are the authors' own, on DeepSeek-V2-Lite.

Sources

  1. arxiv.org/abs/2407.01906
  2. huggingface.co/api/models?author=deepseek-ai&sort=createdAt&direction=-1&limit=1000

This record was checked against its sources on 6 October 2026. How we check

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