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
Rapidfireai
RapidFireAI
RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning
ResearchReview before use
165GitHub
RAG Retrieval
NovaSearch-Team
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
ResearchReview before use
1.1KGitHub
GraphGen
InternScience
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
ResearchReview before use
1KGitHub
oma-observability
first-fluke
Intent-based observability + traceability router across layers, boundaries, and signals. Routes to vendor-specific skills via category taxonomy; owns transport tuning, m…
ResearchClaude Code
1.3KGitHub
Restai
apocas
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics et…
512GitHub
Fed RAG
VectorInstitute
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
ResearchReview before use
148GitHub
Machine Learning Library
ATOM00blue
A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normal…
ResearchReview before use
141GitHub
External platform skills
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