Dl Transformer Finetune

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 <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

模型微调服务 | Model Fine-tuning Service. LLM LoRA/QLoRA 微调 | LLM LoRA/QLoRA fine-tuning. 7B/13B 模型微调 | 7B/13B model fine-tuning. Stable Diffusion LoRA 训练 | Stable...

Create, finalize, and execute detailed project plans with sub-plans, checkpoints, progress tracking, and change control across sessions using file-based work...

Create, schedule, and monitor ETL pipelines extracting from APIs, databases, files, and streams, with transform and load support to warehouses and APIs.

Locally fine-tune Ollama models, prompts, and LoRAs using custom datasets and evaluation metrics without requiring cloud resources.

Adjust tradebot parameters incrementally to improve tradability safely based on market regime and diagnostic signals while maintaining risk controls.