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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Dedico is a privately-held software development firm based in Switzerland, aiming to provide software and web development, as well as various IT services to businesses worldwide. Our solutions are crafted with a focus on security, scalability, adaptability, expansion, and authenticity to meet the needs of diverse enterprises. By offering high-quality and reliable software services at competitive prices, we ensure that our clients receive excellent value for their investment, leading to increased customer satisfaction. At Dedico, we cultivate a dynamic environment conducive to software development advancement, tailoring our processes to align with client requirements. We adhere to a strict standard of excellence for every project we undertake, firmly believing that quality work attracts new clients. Ultimately, Dedico is committed to establishing long-term partnerships with businesses by consistently delivering exceptional results that foster trust and growth.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ChatGLM No 
DeepSeek No 
Gemma No 
LLaVA No 
Llama No 
Llama 3 No 
MLflow No 
Mistral AI No 
Mixtral 8x22B No 
Mixtral 8x7B No 
OpenAI No 
PaliGemma 2 No 
Phi-2 No 
Qwen No 
TensorBoard No 
TensorWave No 
Yi-Large No 

Integrations

ChatGLM Yes 
DeepSeek Yes 
Gemma Yes 
LLaVA Yes 
Llama Yes 
Llama 3 Yes 
MLflow Yes 
Mistral AI Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
OpenAI Yes 
PaliGemma 2 Yes 
Phi-2 Yes 
Qwen Yes 
TensorBoard Yes 
TensorWave Yes 
Yi-Large Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Dedico Network

Country

India

Website

dedicogroup.com/product/inventory

Vendor Details

Company Name

hoshi-hiyouga

Website

github.com/hiyouga/LLaMA-Factory

Product Features

Inventory Management

Alerts/Notifications Yes 
Barcoding / RFID No 
Forecasting Yes 
Inventory Optimization Yes 
Kitting No 
Manufacturing Inventory Management Yes 
Mobile Access Yes 
Multi-Channel Management Yes 
Product Identification No 
Reorder Management No 
Reporting/Analytics Yes 
Retail Inventory Management Yes 
Supplier Management No 
Warehouse Management No 

Product Features

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Alternatives

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