工具程式
描述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.
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.
版本4.2.0
作業系統Ubuntu, Windows 11 64bit
檔案大小427.05 MB
日期Nov 28, 2025
描述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.
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.
版本4.1.1
作業系統Ubuntu, Windows 11 64bit
檔案大小520.03 MB
日期Sep 9, 2025
描述AI TOP Utility 4.1.0:
1. Dataset Creator: Automatically transforms unorganized datasets into structured Q&A lists, ready for fine-tuning with optimal efficiency. Supported Languages: English, Simplified Chinese, Traditional Chinese, German, Japanese, Korean;
2. 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;
3. Validation: Helps users quickly validate the quality of fine-tuned models from LLM/LMM fine-tuning;
4. 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;
5. Model Download: A new feature that automatically downloads Hugging Face models for training and deployment;
6. SSD Mounting: Allows users to automatically mount 1 to 2 NVMe SSDs, offloading training memory to SSDs for improved performance;
7. Multi-node Optimization: Reduces VRAM usage and increases model training speed when using multiple GPU cards or cluster-based training;
8. 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);
9. 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;
10. Machine Learning: Prebuilt ML project templates let users build end-to-end ML workflows with zero coding;
11. Bug Fixes: Resolved various issues to improve stability and performance.
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.
1. Dataset Creator: Automatically transforms unorganized datasets into structured Q&A lists, ready for fine-tuning with optimal efficiency. Supported Languages: English, Simplified Chinese, Traditional Chinese, German, Japanese, Korean;
2. 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;
3. Validation: Helps users quickly validate the quality of fine-tuned models from LLM/LMM fine-tuning;
4. 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;
5. Model Download: A new feature that automatically downloads Hugging Face models for training and deployment;
6. SSD Mounting: Allows users to automatically mount 1 to 2 NVMe SSDs, offloading training memory to SSDs for improved performance;
7. Multi-node Optimization: Reduces VRAM usage and increases model training speed when using multiple GPU cards or cluster-based training;
8. 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);
9. 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;
10. Machine Learning: Prebuilt ML project templates let users build end-to-end ML workflows with zero coding;
11. Bug Fixes: Resolved various issues to improve stability and performance.
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.
版本4.1.0
作業系統Ubuntu, Windows 11 64bit
檔案大小518.20 MB
日期Aug 2, 2025
描述AI TOP Utility 4.0.0:
1. Dataset Creator: Automatically transforms unorganized datasets into structured Q&A lists, ready for fine-tuning with optimal efficiency;
2. 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;
3. Validation: Helps users quickly validate the quality of fine-tuned models from LLM/LMM fine-tuning;
4. 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;
5. Model Download: A new feature that automatically downloads Hugging Face models for training and deployment;
6. SSD Mounting: Allows users to automatically mount 1 to 2 NVMe SSDs, offloading training memory to SSDs for improved performance;
7. Multi-node Optimization: Reduces VRAM usage and increases model training speed when using multiple GPU cards or cluster-based training;
8. 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);
9. 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;
10. Machine Learning: Prebuilt ML project templates let users build end-to-end ML workflows with zero coding;
11. Bug Fixes: Resolved various issues to improve stability and performance.
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.
版本4.0.0
作業系統Linux, Windows 11 64bit
檔案大小436.32 MB
日期Jun 13, 2025
描述AI TOP Utility 3.2.2:
1. Dataset Creator: Automatically transforms unorganized datasets into structured Q&A lists, ready for fine-tuning with optimal efficiency;
2. 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;
3. Validation: Helps users quickly validate the quality of fine-tuned models from LLM/LMM fine-tuning;
4. 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;
5. Model Download: A new feature that automatically downloads Hugging Face models for training and deployment;
6. SSD Mounting: Allows users to automatically mount 1 to 2 NVMe SSDs, offloading training memory to SSDs for improved performance;
7. Multi-node Optimization: Reduces VRAM usage and increases model training speed when using multiple GPU cards or cluster-based training;
8. 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);
9. Bug Fixes: Resolved various issues to improve stability and performance.
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.
版本3.2.2
作業系統Linux, Windows 11 64bit
檔案大小420.23 MB
日期Apr 22, 2025
描述AI TOP Utility 3.1.0:
1. New GPU Support: Added compatibility for the NVIDIA Gigabyte GeForce RTX 50 series;
2. Dashboard Enhancement: Introduced CPU and GPU temperature monitoring;
3. Bug Fixes & Improvements: Resolved various issues to enhance stability and performance;
📌 Please update your AI TOP Motherboard to the latest BIOS version for optimal functionality.
版本3.1.0b
作業系統Linux, Windows 11 64bit
檔案大小385.20 MB
日期Mar 10, 2025
描述AI TOP Utility 3.0.0:
1. Download Model: A new feature that helps users automatically download Hugging Face models for training and deployment;
2. Mount SSD: A new feature that allows users to automatically mount 1~2 NVMe SSDs to offload training memory to SSDs;
3. Multinode Optimization: A new feature to reduce VRAM usage and increase model training speed when using multiple GPUs cards or clustering training;
4. Bug Fixes: Resolved various issues to improve stability and performance.
*Please update to the latest BIOS version for AI TOP Motherboards to ensure regular use.
版本3.0.0
作業系統Linux, Windows 11 64bit
檔案大小384.23 MB
日期Feb 10, 2025
描述AI TOP Utility 2.0.1:
1. Update newest BIOS of AI TOP motherboards for stable version.
2. Key Features: Dataset Creator, LLM/LMM Finetuning, Validations, Multimodal RAG
3. Fix bugs.
版本2.0.1
作業系統Linux, Windows 11 64bit
檔案大小378.20 MB
日期Dec 30, 2024