Antares

Antares

Cisco
Qwen2

Qwen2

Alibaba
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+

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About

Antares is a family of open-weight security small language models purpose-built to localize known vulnerabilities inside large codebases. Antares-350M and Antares-1B are compact enough to run locally or on premises, helping teams keep proprietary source code inside their environment while reducing inference cost and runtime. Starting from a vulnerability description, advisory, or CWE category, the model follows an iterative investigation process similar to a human analyst, it searches for relevant code patterns, reads candidate files, incorporates new evidence, changes direction when a path is unproductive, and narrows the search to the files most likely to contain the weakness. Antares returns a ranked list of potentially vulnerable source files together with the terminal exploration trace that produced the result, making findings easier to review and prioritize.

About

Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.

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

University cybersecurity labs that need efficient, locally deployable models for locating vulnerabilities in sensitive codebases

Audience

AI developers interested in a powerful LLM

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

No information available.
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

Cisco
Founded: 1984
United States
blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen2

Alternatives

Alternatives

CodeQwen

CodeQwen

Alibaba
Laguna XS.2

Laguna XS.2

Poolside
Devstral Small 2

Devstral Small 2

Mistral AI
Mathstral

Mathstral

Mistral AI
Qwen3.6

Qwen3.6

Alibaba
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

C#
C++
Clojure
Elixir
F#
Go
Horay.ai
Hugging Face
Julia
MindMac
ModelScope
Molmo
PHP
R
Rust
SQL
SSSModel
Scala
TypeScript
Visual Basic

Integrations

C#
C++
Clojure
Elixir
F#
Go
Horay.ai
Hugging Face
Julia
MindMac
ModelScope
Molmo
PHP
R
Rust
SQL
SSSModel
Scala
TypeScript
Visual Basic
Claim Antares and update features and information
Claim Antares and update features and information
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Claim Qwen2 and update features and information