lora

47 proyectos comparten este topic de GitHub

Las líneas conectan a los miembros que están mediblemente relacionados entre sí. El tamaño de los puntos refleja las estrellas.

🧬 Miembros

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

AirLLM 70B inference with single 4GB GPU

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lo…

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

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4,…

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

Using Low-rank adaptation to quickly fine-tune diffusion models.

SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

🦞 Just talk to your agent — it learns and EVOLVES 🧬.

Generate, animate and schedule your AI characters 🤖

OneTrainer is a one-stop solution for all your Diffusion training needs.

LLM Finetuning with peft

A Unified Library for Parameter-Efficient and Modular Transfer Learning

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient…

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an…

Large-scale LLM inference engine

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR…

An Open-sourced Knowledgable Large Language Model Framework.

Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input

Serving multiple LoRA finetuned LLM as one

Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.

[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

LLM-Finetuning-Toolkit

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"

🐋MindChat（漫谈）：漫谈人生路, 笑对风霜途

Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026…

END-TO-END-GENERATIVE-AI-PROJECTS

End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects

ai-engineer-notebooks

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set —…

A library for easily merging multiple LLM experts, and efficiently train the merged LLM.

AI-Toolkit-Easy-Install

One-click Portable Windows installation of 'AI-Toolkit by Ostris'

Low-rank adaptation for Erasing COncepts from diffusion models.

Local-first AI image organizer and generative media library manager for ComfyUI, A1111, InvokeAI & more.…

Krea 2, MiniMax & Klein 9B LoRA - LoKR Studio — train, profile, repair, and extract Krea 2, Flux 2 Klein 9B…

AI character studio on a node canvas. Build consistent characters, train LoRAs, and generate on your own GPU.

Project_Chronos

⚡ Zero-Stall MoE Inference via Lookahead Prediction & Async DMA Prefetching. Optimized for SSD I/O with…

Full-featured DAW, DJ, and VJ app interoperable w/Ableton, Reaper, Resolume & more. Stable Audio 3, Magenta…

World's most accurate password guessing AI tool. A PyTorch implementation of PassLLM (USENIX 2025) that…

A native macOS lab for teaching tiny language models to think — build the architecture, train the weights,…

Image-AI-Generator-2026

AI Image Generator is a powerful and user-friendly desktop application designed to help creators produce…

Local-first desktop manager for AI image libraries

🔗 Familias relacionadas

peft 16 qlora 10 qwen 74 huggingface 80 instruction-tuning 28 llama3 29 quantization 36 ai-art 44

Medido a partir de los temas de GitHub compartidos por ambos proyectos, ponderado por cuán raros son cada uno de los temas.