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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Specifically designed to deploy AI seamlessly across all types of data, our solution maximizes the potential of your unstructured information, enabling you to access, prepare, train, optimize, and implement AI without constraints. We have integrated our top-tier file and object storage options, such as PowerScale, ECS, and ObjectScale, with our PowerEdge servers and a contemporary, open data lakehouse framework. This combination empowers you to harness AI for your unstructured data, whether on-site, at the edge, or in any cloud environment, ensuring unparalleled performance and limitless scalability. Additionally, you can leverage a dedicated team of skilled data scientists and industry professionals who can assist in deploying AI applications that yield significant benefits for your organization. Moreover, safeguard your systems against cyber threats with robust software and hardware security measures alongside immediate threat detection capabilities. Utilize a unified data access point to train and refine your AI models, achieving the highest efficiency wherever your data resides, whether that be on-premises, at the edge, or in the cloud. This comprehensive approach not only enhances your AI capabilities but also fortifies your organization's resilience against evolving security challenges.

Description

LLaMA-Factory is an innovative open-source platform aimed at simplifying and improving the fine-tuning process for more than 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It accommodates a variety of fine-tuning methods such as Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, empowering users to personalize models with ease. The platform has shown remarkable performance enhancements; for example, its LoRA tuning achieves training speeds that are up to 3.7 times faster along with superior Rouge scores in advertising text generation tasks when compared to conventional techniques. Built with flexibility in mind, LLaMA-Factory's architecture supports an extensive array of model types and configurations. Users can seamlessly integrate their datasets and make use of the platform’s tools for optimized fine-tuning outcomes. Comprehensive documentation and a variety of examples are available to guide users through the fine-tuning process with confidence. Additionally, this platform encourages collaboration and sharing of techniques among the community, fostering an environment of continuous improvement and innovation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AMD Radeon ProRender
Accenture AI Refinery
Adobe Acrobat
Apache Iceberg
ChatGLM
Databricks
DeepSeek
Gemma
LLaVA
Llama
Llama 3
Microsoft 365
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
OpenAI
Phi-2
Starburst Enterprise
TensorBoard
VMware Cloud

Integrations

AMD Radeon ProRender
Accenture AI Refinery
Adobe Acrobat
Apache Iceberg
ChatGLM
Databricks
DeepSeek
Gemma
LLaVA
Llama
Llama 3
Microsoft 365
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
OpenAI
Phi-2
Starburst Enterprise
TensorBoard
VMware Cloud

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dell

Founded

1984

Country

United States

Website

www.dell.com/en-us/dt/solutions/artificial-intelligence/storage-for-ai.htm

Vendor Details

Company Name

hoshi-hiyouga

Website

github.com/hiyouga/LLaMA-Factory

Product Features

Product Features

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Alternatives

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