Antares

Antares

Cisco
Mixtral 8x7B

Mixtral 8x7B

Mistral AI
+
+

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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

Mixtral 8x7B is a high-quality sparse mixture of experts model (SMoE) with open weights. Licensed under Apache 2.0. Mixtral outperforms Llama 2 70B on most benchmarks with 6x faster inference. It is the strongest open-weight model with a permissive license and the best model overall regarding cost/performance trade-offs. In particular, it matches or outperforms GPT-3.5 on most standard benchmarks.

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

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

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

Mistral AI
Founded: 2023
France
mistral.ai/news/mixtral-of-experts/

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Categories

Categories

Integrations

1min.AI
Amazon Bedrock
Arize Phoenix
BlueGPT
Fello AI
Go
HumanLayer
LM-Kit.NET
ManagePrompt
Mirascope
Neurooo
Nutanix Enterprise AI
PromptPal
R
ReByte
RouteLLM
Ruby
Rust
SydeLabs
VESSL AI

Integrations

1min.AI
Amazon Bedrock
Arize Phoenix
BlueGPT
Fello AI
Go
HumanLayer
LM-Kit.NET
ManagePrompt
Mirascope
Neurooo
Nutanix Enterprise AI
PromptPal
R
ReByte
RouteLLM
Ruby
Rust
SydeLabs
VESSL AI
Claim Antares and update features and information
Claim Antares and update features and information
Claim Mixtral 8x7B and update features and information
Claim Mixtral 8x7B and update features and information