lora

Multiple Choice Learning of Low Rank Adapters for Language Modeling

[CVPR 2025 Highlight] Meta LoRA / MetaPEFT: Meta-Learning Hyperparameters for Parameter-Efficient Fine-Tuning (LoRA, Adapter, Prompt Tuning) — Automatic hyperparameter optimization via bi-level meta-learning

Generate multi-speaker conversational datasets for LLM fine-tuning. N-persona support, topic variation, conversation continuation, creative briefs with web search, character pools, Docker support. ShareGPT format with configurable role mapping.

KONASH: Train knowledge agents that search, retrieve, and reason. Based on KARL (Databricks, 2026).

A Lightweight, Configuration-Driven, Flexible Fine-Tuning Framework for 🤗 Diffusers

fine-tuning of the Segment-Anything model by MetaAI

Finetuned Deepseek 8b model for finance reasoning

CPU-first, eager-execution tensor/autograd runtime and LLM inference engine written in pure Zig

LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.

This is AlpaGasus2-QLoRA based on LLaMA2 with AlpaGasus mechanism using QLoRA!

Fine-tune a local LLM on your own app's data in 15 minutes. Runs entirely on-device, zero cloud after training. Apple Silicon + CUDA.

Madlab is an advanced AI development studio designed to streamline the process of dataset management, model training, and evaluation. It combines a robust Node.js/Express backend with a powerful Python-based training engine and a modern React frontend.

HypeLoRA: Hypernetwork-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning

CosyVoice3 LoRA fine-tuning companion repo — PEFT integration, 9 known pitfalls from IMDA NSC production runs, corrected from failed full-SFT attempt

An MCP server for dataset generation, fine-tuning, RL, and evaluation of LLMs — directly from your coding agent.

🍯 自进化 AI 能力研究平台：蜜罐系统 → 沙箱评测引擎 → 训练数据集与 LoRA 微调流水线 / Self-Evolving AI Security Research Platform

Bug detection and fixing using prompt engineering and fine-tuning with Llama 3 and a custom mutation-based dataset. Includes a user-friendly interface and performance evaluation metrics.

Low-Resource LLM Fine-Tuning using Unsloth and LoRA/QLoRA (WSL2/Linux) 🧠

Realism Adapter for Flux.1 Dev

[ACL 2026 Oral] Official code, UIQ benchmark, and pretrained checkpoints for "Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval" (Yoo et al., Sogang University)