Ferret

Ferret

Apple
Qwen2.5-Max

Qwen2.5-Max

Alibaba
+
+

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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

Qwen2.5-Max is a large-scale Mixture-of-Experts (MoE) model developed by the Qwen team, pretrained on over 20 trillion tokens and further refined through Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). In evaluations, it outperforms models like DeepSeek V3 in benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, while also demonstrating competitive results in other assessments, including MMLU-Pro. Qwen2.5-Max is accessible via API through Alibaba Cloud and can be explored interactively on Qwen Chat.

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 researchers, developers, and enterprises seeking a high-performance Mixture-of-Experts model for advanced reasoning, coding, and language tasks, accessible via API and interactive chat

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

Free
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

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-max/

Alternatives

Selene 1

Selene 1

atla

Alternatives

DeepSeek R2

DeepSeek R2

DeepSeek
Qwen2.5-Max

Qwen2.5-Max

Alibaba
ERNIE 4.5

ERNIE 4.5

Baidu
Gen-3

Gen-3

Runway
ERNIE X1

ERNIE X1

Baidu
Qwen3.5-Omni

Qwen3.5-Omni

Alibaba
Qwen2

Qwen2

Alibaba
GLM-4.5V

GLM-4.5V

Zhipu AI
Qwen3.6

Qwen3.6

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Qwen Chat

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Qwen Chat
Claim Ferret and update features and information
Claim Ferret and update features and information
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Claim Qwen2.5-Max and update features and information