Ferret

Ferret

Apple
Pixtral Large

Pixtral Large

Mistral AI
+
+

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About

An End-to-End MLLM that Accept Any-Form Referring and Ground Anything in Response. Ferret Model - Hybrid Region Representation + Spatial-aware Visual Sampler enable fine-grained and open-vocabulary referring and grounding in MLLM. GRIT Dataset (~1.1M) - A Large-scale, Hierarchical, Robust ground-and-refer instruction tuning dataset. Ferret-Bench - A multimodal evaluation benchmark that jointly requires Referring/Grounding, Semantics, Knowledge, and Reasoning.

About

Pixtral Large is a 124-billion-parameter open-weight multimodal model developed by Mistral AI, building upon their Mistral Large 2 architecture. It integrates a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, enabling advanced understanding of documents, charts, and natural images while maintaining leading text comprehension capabilities. With a context window of 128,000 tokens, Pixtral Large can process at least 30 high-resolution images simultaneously. The model has demonstrated state-of-the-art performance on benchmarks such as MathVista, DocVQA, and VQAv2, surpassing models like GPT-4o and Gemini-1.5 Pro. Pixtral Large is available under the Mistral Research License for research and educational use, and under the Mistral Commercial License for commercial applications.

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 and LLM developers

Audience

AI developers interested in a powerful multimodal model

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

No images available

Pricing

Free
Open source
Free Version
Free Trial

Pricing

Free
Open source
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

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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

Apple
Founded: 1976
United States
github.com/apple/ml-ferret

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/pixtral-large/

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Categories

Categories

Integrations

AI-FLOW
APIPark
AiAssistWorks
BlueGPT
Diaflow
EvalsOne
GaiaNet
Groq
HoneyHive
Langflow
LibreChat
Literal AI
Msty
NexalAI
PI Prompts
Pipeshift
SydeLabs
Wordware
bolt.diy
thisorthis.ai

Integrations

AI-FLOW
APIPark
AiAssistWorks
BlueGPT
Diaflow
EvalsOne
GaiaNet
Groq
HoneyHive
Langflow
LibreChat
Literal AI
Msty
NexalAI
PI Prompts
Pipeshift
SydeLabs
Wordware
bolt.diy
thisorthis.ai
Claim Ferret and update features and information
Claim Ferret and update features and information
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Claim Pixtral Large and update features and information