Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Abliterated Large V2 is a large language model developed by Abliteration AI for cybersecurity research, software engineering, and complex autonomous AI agent tasks. The model is derived from GLM 5.3 and uses a process known as abliteration to modify neural network weights associated with refusal behavior. This approach is intended to reduce content restrictions that can interfere with authorized security assessments, adversarial testing, and technical research. Its one-million-token context window supports processing large codebases, extensive technical documents, and multistep agent execution histories. The model provides advanced reasoning capabilities for programming, debugging, vulnerability reproduction, and technical problem-solving. Its cybersecurity applications include penetration testing research, security control evaluation, AI red teaming, and vulnerability validation in authorized environments. Native function calling and structured output capabilities allow developers to integrate the model with automated tools and external systems. Abliterated Large V2 is hosted using FP8 numerical precision and supports OpenAI-compatible and Anthropic-style API interfaces. The platform also provides automatic prompt caching and a zero-data-retention policy for API prompts and responses by default.
Description
Hinoki Offensive One (HO1) is a specialized AI model in the field of cybersecurity, tailored for offensive security operations while also facilitating defensive testing and research initiatives. This innovative tool is readily available through a range of developer platforms, such as Claude Code, OpenAI Codex, OpenCode, Visual Studio Code, and Cursor, allowing security experts to seamlessly integrate it into their coding and agent workflows. The official product site highlights its ability to perform multi-step task execution and its assessments against various cybersecurity benchmarks. HO1 is specifically designed for use by security researchers, penetration testers, and defenders who conduct authorized evaluations, vulnerability research, and security testing. Given its offensive features, it emphasizes the necessity of clear authorization, established safeguards, and responsible-use policies during deployment. Additionally, Hinoki provides comparative analyses with other cybersecurity-oriented and general-purpose AI models, aiding technical users in evaluating the model's performance for security-related activities. The emphasis on responsible deployment ensures that ethical considerations remain at the forefront of its usage.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Abliteration.ai
Yes
Claude Code
No
Cursor
No
OpenAI Codex
No
OpenCode
No
Venice.ai
Yes
Visual Studio Code
No
Integrations
Abliteration.ai
No
Claude Code
Yes
Cursor
Yes
OpenAI Codex
Yes
OpenCode
Yes
Venice.ai
No
Visual Studio Code
Yes
Pricing Details
$3 per 1M tokens (input)
$3.00 per 1 million input tokens, $5.00 per 1 million output tokens, and $0.30 per 1 million cached input tokens
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Abliteration.ai
Founded
2025
Country
United States
Website
abliteration.ai/
Vendor Details
Company Name
Hinoki
Founded
2026
Country
United States
Website
hinoki.security/