AI TOP 100 Z890 Barebone-IN

AI TOP Utility 4.2.0
1. Newly supports certain legacy GIGABYTE motherboards using the latest BIOS.
2. LLM/LMM Fine-tuning: Added support for Qwen-2.5-VL training.
3. Validation: Feature removed, replaced by Inference.
4. Multimodal RAG: Optimized RAG functionality, improved document library loading issues.
5. Inference: Fixed text-to-text LoRA model loading program, added LoRA model mounting feature for text-to-image.
6. Model Download: Focused on GIGABYTE tested and verified models, each model is provided with the link to its Hugging Face repo, and disclose error messages.
7. Machine Learning: Changed to the most recommended package for each topic.
📌Available on Linux (Ubuntu 24.04.2 LTS) and WSL2 (Ubuntu 24.04.2 LTS) on Windows 11.
📌Please update to the latest BIOS version for AI TOP Motherboards to ensure the stable use.

AI TOP Utility 4.1.1:
1. Support other old GIGABYTE motherboards with the newest BIOS; 2. Dataset Creator: Automatically transforms unorganized datasets into structured Q&A lists, ready for fine-tuning with optimal efficiency. Support Languages: English, S. Chinese, T. Chinese, German, Japanese, Korean; 3. LLM/LMM Fine-tuning: AI TOP Utility now supports the latest 405B-parameter models, enabling both LLMs for text generation and LMMs for generating images and videos; 4. Validation: Helps users quickly validate the quality of fine-tuned models from LLM/LMM fine-tuning; 5. Multimodal RAG: Utilizes the new RAG feature to select the most suitable models for fine-tuning, with in-app validation for instant performance feedback and fast improvements; 6. Model Download: A new feature that automatically downloads Hugging Face models for training and deployment; 7. SSD Mounting: Allows users to automatically mount 1 to 2 NVMe SSDs, offloading training memory to SSDs for improved performance; 8. Multi-node Optimization: Reduces VRAM usage and increases model training speed when using multiple GPU cards or cluster-based training; 9. Model Converter: Converts various model formats (.safetensors, .bin) into the GGUF format using different quantization methods (f32, f16, bf16, or 8-bit) to reduce model size or improve performance, and is optimized for deployment on Linux and Windows (LM-Studio); 10. Inference: Supports real-time inference for state-of-the-art models with different formats (safetensors, GGUF). Remote access via QR code from smartphones, laptops, or tablets — no internet required, ensuring secure and private usage; 11. Machine Learning: Prebuilt ML project templates let users build end-to-end ML workflows with zero coding; 12. Bug Fixes: Resolved various issues to improve stability and performance;
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.