Open Source

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Learn to use MLLM-Jailbreak-Bench, a reproducible and model-agnostic framework for measuring harmful output in multimodal large language models.

How to Evaluate Multimodal LLM Safety with MLLM-Jailbreak-Bench

Discover MLLM-Jailbreak-Bench, an evaluation framework for assessing multimodal LLM safety across five attack categories. Understand how to measure Attack Success Rate, refusal quality, and calibration error to identify real safety gaps and avoid false positives. Get started with installation and quick-start instructions.

Examining the escalating power struggle between African governments, global tech platforms, and the urgent need for indigenous digital solutions.

Africa's Digital Crossroads: Who Holds the Power?

As African states confront tech giants over data, regulation, and sovereignty, this analysis delves into the challenges and opportunities for building local digital ecosystems, protecting user rights, and fostering innovation on the continent.

Explore the Diffusion Transformer with Flow Matching that powers high-fidelity 48 kHz audio generation from natural language.

How MOSS-SoundEffect v2.0 Revolutionizes Text-to-Audio Synthesis

Discover MOSS-SoundEffect v2.0, a cutting-edge text-to-audio model using a 1.3B-parameter Diffusion Transformer and Flow Matching for superior sound generation. Learn about its capabilities, multilingual support, and optimal settings for creating diverse audio content.

Discover the innovative ternary weight architecture of Bonsai Image Ternary 4B, achieving 6.4x model size reduction with high visual fidelity and rapid inference on consumer hardware.

How Bonsai 4B's Ternary Weights Revolutionize Compact Text-to-Image AI

Explore Bonsai Image Ternary 4B, a 1.21 GB Diffusion Transformer using ternary weights for efficient text-to-image generation. Learn how this model delivers fast, high-quality results without negative prompts, running natively on Linux and Windows with CUDA.

Explore MiniCPM5-1B, a 1B-parameter LLM designed for on-device deployment, featuring state-of-the-art performance and a unique 'Think'/'No Think' dual-mode chat template.

What is MiniCPM5-1B and How Does Its Dual-Mode Architecture Work?

Discover MiniCPM5-1B, an efficient 1B-parameter causal language model optimized for local and resource-constrained environments. Learn about its Llama-based architecture, impressive 131K context window, and innovative 'Think' and 'No Think' modes that enable it to function as both a fast assistant and a deliberate reasoner from a single checkpoint.

Discover how SmallCode leverages small local LLMs for effective programming tasks on consumer hardware, offering advanced context management and interactive features.

What is SmallCode? A Terminal-Native AI Coding Agent

Explore SmallCode, a terminal-native AI coding agent designed to make 8B–35B parameter local language models powerful for programming. Learn about its context budget management, patch-first editing, TODO-driven planning, and interactive TUI, enabling efficient development fully locally.

Discover how FigMirror replicates reference image styles with your data to produce editable Matplotlib scripts and camera-ready PDFs.

How FigMirror Automates Publication-Quality Figure Generation

Learn about FigMirror, a tool that automates the creation of publication-quality figures. Understand its agentic Drawer-Reviewer loop, Grounded Measurement, and Aesthetic Library, and explore its Web UI and skill-only installation modes for coding agents.

Discover how the ADHD AI skill employs divergent and convergent thinking to generate innovative solutions for complex design, naming, and debugging tasks.

What is ADHD and How to Use This AI Skill for Broad Ideation

Explore ADHD, an AI skill designed to prevent cognitive anchoring by forcing broad ideation through parallel cognitive frames. Learn its two-phase process (Diverge, Focus), installation methods, and practical usage examples for open-ended problems in design and coding.

Learn how OpenTeam transforms your AI accounts into a local multi-agent discussion room for enhanced productivity and creative problem-solving.

What is OpenTeam and How to Get Started?

Discover OpenTeam, a Manifest V3 Chrome extension that reuses your existing AI sessions (ChatGPT, Claude, Gemini, etc.) for multi-agent discussions. Explore its features like instant model comparison, collaborative modes, advisor personas, and local-first storage. Learn how to install it from source and set up CLI control for programmatic interaction.

Discover GSD Pi, a command-line interface (CLI) agent that streamlines the entire software development lifecycle, from planning to implementation and verification, all from your local machine.

What is GSD Pi? A Local-First AI Coding Agent for Terminal Users

Learn about GSD Pi, a local-first AI coding agent that operates from your terminal. This article explains its features, how to get started, and practical usage for managing your project lifecycle with milestones, coding sessions, and built-in verification, keeping all state on your machine.

Explore the technical innovations, ethical considerations, and practical applications of uncensored large language models, focusing on a community-driven variant of Qwen3.5.

Understanding Uncensored LLMs: A Deep Dive into Qwen3.5-35B-A3B-Heretic-V2

Learn about the architecture and capabilities of uncensored language models, specifically Qwen3.5-35B-A3B-Heretic-V2. Discover how multi-token prediction and various quantization formats enhance performance and accessibility, while understanding the implications of removing safety filters for research and development.

Discover how agentic AI, local execution, and Mixture of Experts (MoE) architectures like Qwen3.6 35B A3B are making powerful AI accessible on consumer hardware.

How Agentic AI and MoE Models Are Revolutionizing Local AI

Explore the shift from passive to active AI with agentic models, the benefits of local execution for privacy, latency, and cost, and how MoE architectures like Qwen3.6 35B A3B overcome parameter puzzles to deliver large-scale intelligence on modest machines. Understand the future of AI that thinks big but fits small.