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About

The open-source AI model you can fine-tune, distill and deploy anywhere is now available in more versions. Choose from 1B, 3B, 11B or 90B, or continue building with Llama 3.1. Llama 3.2 is a collection of large language models (LLMs) pretrained and fine-tuned in 1B and 3B sizes that are multilingual text only, and 11B and 90B sizes that take both text and image inputs and output text. Develop highly performative and efficient applications from our latest release. Use our 1B or 3B models for on device applications such as summarizing a discussion from your phone or calling on-device tools like calendar. Use our 11B or 90B models for image use cases such as transforming an existing image into something new or getting more information from an image of your surroundings.

About

Ximilar is the first MLaaS platform for training and fine-tuning vision-language models without coding, enabling multimodal AI without in-house research teams. Build and train custom models on your own image and text data, then deploy via a single API click. Chain multiple models into automated workflows using Flows. Key capabilities: — Vision-language model fine-tuning on custom datasets — Image classification, annotation, and object detection — Visual search handling thousands of queries per second — Text-to-image search using natural language queries — Automated tagging and product description generation — OCR and text extraction from images — Fashion AI for apparel tagging and visual search — Defect detection for manufacturing and quality control — Classification, grading, and pricing of collectible items Built on Intel Xeon® with TensorFlow and OpenVINO. Deploy via API or offline. GDPR-compliant, EU servers. 15B+ images processed. Clients in 40+ countries.

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

Users interested in a powerful open source large language model

Audience

E-commerce, fashion, collectibles, photography, manufacturing and quality control, home decor, healthcare, real estate, and automotive — businesses automating image and vision-language AI at scale.

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

$0
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
www.llama.com

Company Information

Ximilar
Founded: 2016
Czech Republic
www.ximilar.com

Alternatives

BitNet

BitNet

Microsoft

Alternatives

Dexit

Dexit

314e Corporation
Lens

Lens

Moondream
Florence-2

Florence-2

Microsoft
LLaMA-Factory

LLaMA-Factory

hoshi-hiyouga

Categories

Categories

Computer Vision Features

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Integrations

PHP
Python
AiAssistWorks
Amazon Bedrock
Azure Marketplace
Batteries Included
Code Llama
Decopy AI
GitHub
Go
HTML
Java
Lakera
ModelMatch
Postman
RunPod
SQL
TypeScript
Visual Basic
WebLLM

Integrations

PHP
Python
AiAssistWorks
Amazon Bedrock
Azure Marketplace
Batteries Included
Code Llama
Decopy AI
GitHub
Go
HTML
Java
Lakera
ModelMatch
Postman
RunPod
SQL
TypeScript
Visual Basic
WebLLM
Claim Llama 3.2 and update features and information
Claim Llama 3.2 and update features and information
Claim Ximilar and update features and information
Claim Ximilar and update features and information