Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Create your model in real-time as an interactive graph, enabling you to observe the data traversing through the visualized structure of your model. You can also modify the architecture at its most fundamental level. Graphbook offers complete transparency without hidden complexities, allowing you to see everything clearly. It performs live checks on data types and shapes, providing clear and comprehensible error messages that facilitate quick and efficient debugging. By eliminating the need to manage software dependencies and environmental setups, Graphbook enables you to concentrate on the architecture of your model and the flow of data while providing the essential computing resources. Cerbrec Graphbook serves as a visual integrated development environment (IDE) for AI modeling, simplifying what can often be a tedious development process into a more approachable experience. With an expanding community of machine learning practitioners and data scientists, Graphbook supports developers in fine-tuning language models like BERT and GPT, whether working with text or tabular data. Everything is seamlessly managed from the start, allowing you to visualize your model's behavior just as it will operate in practice, ensuring a smoother development journey. Additionally, the platform promotes collaboration by allowing users to share insights and techniques within the community.

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

Amazon Web Services (AWS)
ChatGLM
DeepSeek
Gemma
LLaVA
Llama
Llama 3
MLflow
Microsoft for Startups Founders Hub
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
NVIDIA DRIVE
OpenAI
PaliGemma 2
Phi-2
Qwen
TensorBoard
TensorWave
Yi-Large

Integrations

Amazon Web Services (AWS)
ChatGLM
DeepSeek
Gemma
LLaVA
Llama
Llama 3
MLflow
Microsoft for Startups Founders Hub
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
NVIDIA DRIVE
OpenAI
PaliGemma 2
Phi-2
Qwen
TensorBoard
TensorWave
Yi-Large

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

Cerbrec

Website

cerbrec.com

Vendor Details

Company Name

hoshi-hiyouga

Website

github.com/hiyouga/LLaMA-Factory

Product Features

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Product Features

Alternatives

Alternatives

Tinker Reviews

Tinker

Thinking Machines Lab