LLaMA-Factoryhoshi-hiyouga
|
Windows AI FoundryMicrosoft
|
|||||
Related Products
|
||||||
About
LLaMA-Factory is an open source platform designed to streamline and enhance the fine-tuning process of over 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It supports various fine-tuning techniques, including Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, allowing users to customize models efficiently. It has demonstrated significant performance improvements; for instance, its LoRA tuning offers up to 3.7 times faster training speeds with better Rouge scores on advertising text generation tasks compared to traditional methods. LLaMA-Factory's architecture is designed for flexibility, supporting a wide range of model architectures and configurations. Users can easily integrate their datasets and utilize the platform's tools to achieve optimized fine-tuning results. Detailed documentation and diverse examples are provided to assist users in navigating the fine-tuning process effectively.
|
About
Windows AI Foundry is a unified, reliable, and secure platform supporting the AI developer lifecycle from model selection, fine-tuning, optimizing, and deployment across CPU, GPU, NPU, and cloud. It integrates tools like Windows ML, enabling developers to bring their own models and deploy them efficiently across the silicon partner ecosystem, including AMD, Intel, NVIDIA, and Qualcomm, spanning CPU, GPU, and NPU. Foundry Local allows developers to pull in their favorite open source models and make their apps smarter. It offers ready-to-use AI APIs powered by on-device models, optimized for efficiency and performance on Copilot+ PC devices with minimal setup required. These APIs include capabilities such as text recognition (OCR), image super resolution, image segmentation, image description, and object erasing. Developers can customize Windows inbox models with their own data using LoRA for Phi Silica.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
AI researchers and developers wanting a solution to fine-tune a wide array of language and vision-language models
|
Audience
Developers wanting a solution to integrate AI capabilities into their applications
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
Free
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company Informationhoshi-hiyouga
github.com/hiyouga/LLaMA-Factory
|
Company InformationMicrosoft
Founded: 1975
United States
developer.microsoft.com/en-us/windows/ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
||||||
|
||||||
|
||||||
Categories |
Categories |
|||||
Integrations
AMD Radeon ProRender
ChatGLM
DeepSeek
Gemma
Intel Open Edge Platform
LLaVA
Llama
Llama 3
MLflow
Mistral AI
|
Integrations
AMD Radeon ProRender
ChatGLM
DeepSeek
Gemma
Intel Open Edge Platform
LLaVA
Llama
Llama 3
MLflow
Mistral AI
|
|||||
|
|