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  1. Home
  2. /Repositories
  3. /huggingface/peft
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 7d ago

huggingface/peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 45%Beyond LoRA: Can you beat the most popular fine-tuning technique? →
  • PossiblePossibly related (embedding) · 47%Hugging Face Models on Foundry Managed Compute →
  • PossiblePossibly related (embedding) · 48%DynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures - Apple Machine Learning Research →

Covers

newsBeyond LoRA: Can you beat the most popular fine-tuning technique?newsHugging Face Models on Foundry Managed ComputenewsDynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures - Apple Machine Learning Research

Related across the graph

newsHugging Face Models on Foundry Managed ComputenewsDynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures - Apple Machine Learning ResearchnewsBeyond LoRA: Can you beat the most popular fine-tuning technique?
Knowledge path·NHugging Face Models on Foundry Managed Compute→NDynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures - Apple Machine Learning Research→NBeyond LoRA: Can you beat the most popular fine-tuning technique?→Rhuggingface/peft

Topics

adapterdiffusionfine-tuningllmloraparameter-efficient-learningpeftpythonpytorchtransformers

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Graph trust82Primary
Graph score21563