peft-fine-tuning
OpenRaiser
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <…
ResearchClaude Code
1.4KGitHub
OPENAGENTSKILL / DIRECTORY
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unsloth
OpenRaiser
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
1.4KGitHub
RAG FiT
IntelLabs
Framework for enhancing LLMs for RAG tasks using fine-tuning.
ResearchReview before use
770GitHub
RAG Retrieval
NovaSearch-Team
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
ResearchReview before use
1.1KGitHub
nature-literature-pipeline
Yuan1z0825
Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival. Combines a configurable eng…
ResearchClaude Code
38.7KGitHub
GraphGen
InternScience
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
ResearchReview before use
1KGitHub
External platform skills
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