jikepjikep_16HEX/ gemma-4-26b-nightshift-heretic-uncensored-a4b-moe-q4:latest

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😈 Uncensored Gemma 4 26B (A4B MoE) for Ollama. 👁️ Native Vision, 🛠️ Tool Calling, GGUF, Rust, Linux, Windows AI Coding Agents & Multimodal Local AI Development. 🚀

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ollama run jikepjikep_16HEX/gemma-4-26b-nightshift-heretic-uncensored-a4b-moe-q4

Details

yesterday

4938abd78f9a · 18GB ·

model
gemma4
·
25.8B
·
Q4_K_M
system
[SYSTEM PARADIGM: 16HEX GOLD STANDARD] You operate as the High Architect of the Eastern IT School. Y
params
{ "num_ctx": 8192, "num_predict": 2048, "repeat_penalty": 1.2, "stop": [ "<t

Readme

👁️‍🗨️ Gemma-4-26B-A4B Nightshift Heretic Uncensored

An uncensored Gemma 4 26B A4B Mixture-of-Experts (MoE) model for Ollama, engineered for multimodal AI, vision understanding, AI Coding Agents, Rust systems programming, Linux development, native Tool Calling, Function Calling, and 256K long-context reasoning.

Built for developers who need fast local inference, advanced image understanding, deterministic code generation, and practical engineering workflows on consumer hardware.

🚀 Overview

Nightshift Heretic transforms Google’s Gemma 4 MoE architecture into a highly optimized local AI model for software engineering, multimodal reasoning, and autonomous development.

Using a 128-expert Mixture-of-Experts architecture, the model activates only the experts required for each token, providing excellent efficiency while maintaining strong reasoning, coding, and vision capabilities.

Optimized for Ollama, GGUF, Rust, Linux, CLI development, AI Coding Agents, MCP workflows, and offline AI environments.

⚡ Key Features

  • 😈 Uncensored reasoning with minimal refusal behavior
  • 👁️ Native multimodal Vision support (images, screenshots, diagrams, documents)
  • ⚡ Efficient A4B Mixture-of-Experts architecture
  • 🛠 Native Tool Calling
  • 🤖 Function Calling support
  • 🦀 Optimized for Rust systems programming
  • 🐧 Linux, Ubuntu and CLI development
  • 🔧 GGUF optimized for Ollama
  • 📚 Ultra-long 256K context window
  • 🚀 Deterministic code generation
  • 📄 OCR-ready document understanding
  • 📊 Chart and diagram interpretation
  • 🖥 Optimized for local workstation inference

👁️ Vision Capabilities

Designed for modern multimodal workflows including:

  • Screenshot analysis
  • Technical documentation
  • OCR and document extraction
  • UI inspection
  • Code screenshot understanding
  • Architecture diagrams
  • Flowcharts
  • Technical drawings
  • Charts and graphs
  • Image-grounded reasoning
  • Vision-guided AI agents

💻 Optimized For

  • Ollama
  • Claude Code
  • OpenClaw
  • Codex App
  • OpenCode
  • Hermes
  • MCP-compatible workflows
  • AI Coding Agents
  • Local AI
  • Offline AI
  • Software Engineering
  • Systems Programming
  • Terminal Automation
  • Vision-based AI workflows

🦀 Programming Languages & Technologies

Primary languages:

  • Rust
  • C
  • C++
  • Zig
  • Python
  • Go
  • Bash
  • PowerShell
  • JavaScript
  • TypeScript

Frequently used technologies:

  • Cargo
  • Tokio
  • Axum
  • Docker
  • Git
  • CMake
  • LLVM
  • SQL
  • Linux APIs

Excellent performance for:

  • async programming
  • memory safety
  • unsafe Rust
  • zero-copy pipelines
  • multithreading
  • backend services
  • networking
  • embedded systems
  • reverse engineering
  • performance optimization

⚙️ Native Tool & Vision Calling

Supports modern AI agent workflows with native Tool Calling, Function Calling, and multimodal reasoning.

Ideal backend for:

  • Claude Code
  • OpenClaw
  • Vision-enabled automation
  • MCP tool ecosystems
  • Local AI assistants
  • Autonomous coding pipelines

📊 Benchmarks

Benchmark Score
GPQA Diamond 79.2
IFBench 72.4
AA-LCR 55.7
Active Parameters 3.8B / 26B

⚙️ Configuration

Parameter Value
Architecture Gemma 4 26B A4B MoE
Experts 128
Active Parameters 3.8B
Format GGUF
Runtime Ollama
Context Window 256K
Modality Native Text + Vision
Temperature 0.2
Tool Calling Native
Function Calling Supported

🎯 Best Use Cases

  • 👁️ Multimodal AI Coding Assistant
  • 🤖 AI Coding Agents
  • 🦀 Rust Development
  • 🐧 Linux Development
  • 📷 Image & Screenshot Analysis
  • 📄 OCR & Document Processing
  • 📊 Diagram Interpretation
  • 🔍 Reverse Engineering
  • ⚙️ Backend Development
  • 🌐 Network Services
  • 💾 Embedded Systems
  • 🚀 Local AI
  • 🔒 Offline AI
  • 🧠 Long-Context Reasoning
  • 🛠 Technical Automation

🔑 Keywords

Ollama, Gemma 4, Gemma-4-26B, GGUF, A4B, Mixture of Experts, MoE, Vision AI, Multimodal AI, Local AI, Offline AI, AI Coding Assistant, AI Coding Agents, Rust, Linux, Ubuntu, Tool Calling, Function Calling, MCP, OCR, Screenshot Analysis, Document AI, Software Engineering, Systems Programming, CLI Development, Backend Development.

🔬 Design Philosophy

Nightshift Heretic prioritizes objective technical reasoning, deterministic software engineering, and efficient multimodal workflows.

The model is designed to produce accurate source code, analyze technical images and documents, understand long-context projects, and support modern AI-assisted development without unnecessary conversational overhead.

Built for developers who expect high-performance local AI, strong vision capabilities, and practical engineering results from Ollama.