AirLLM 2.8T LLM inference with single 4GB GPU
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.
CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! βοΈ
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
csghub-server is the backend server for CSGHub which helps user to manage datasets, modes, and also run Model Inference, Finetune and Application Spaces.
Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.
Open-weight, Jev-inspired decision model finetuned on top of Qwen3.5 4B
ComfyUI nodes for Viggle-Animate minimax H3 finetune
Low VRAM SDXL Fine-Tuning Toolkit 2026: Train Full-Quality AI Models on 12GB GPUs
The 2026 VRAM-Smart Fine-Tuning Suite for SDXL and ANIMA on 12GB GPUs
Math Riddle Generation 2026: Fine-Tuned GPT-2 for Automated Puzzle Solving
MusicGen Pro Trainer 2026: The Ultimate AI Music Studio Guide
Master LLM Fine-Tuning Trainer 2026: Advanced NLP Optimization Toolkit
Fine-Tuning Transformers in 2026: Hands-On LLM Training, LoRA, and PEFT Guide
Optimized ESP32-S3/P4 fully offline speech to text and text to speech system for Micropython and AtomVM, featuring a finetuned STT model for noisy environments, plus a data generation/field capture/model finetuning framework. Includes high performance 4/8bit int kernels for Xtensa/RiscV PIE vector units