WithinUsAI/Opus4.7-GODs.Ghost.Codex-4B.GGuF

🧠 Opus4.7 – GODsGhost Codex 4B (GGUF)

🔗 Model Repository: Opus4.7-GODsGhost-Codex-4B.GGUF

🌌 Overview

Opus4.7 – GODsGhost Codex 4B is a compact, high-efficiency code-specialized language model designed for local inference via GGUF-compatible runtimes like llama.cpp and LM Studio.

This model focuses on developer workflows, blending distilled reasoning patterns inspired by advanced “Opus-style” systems with a lightweight ~4B parameter footprint.

Think of it like a pocket-sized coding spirit 👻 that whispers structured logic, refactors chaos, and drafts clean code without needing a datacenter.

💻 Core Strengths

• —Code generation (Python, JS, C++, etc.)
• —Debugging and refactoring
• —Algorithm design
• —Structured reasoning chains
• —Lightweight local deployment

🧠 Behavior Traits

• —Produces step-by-step reasoning when prompted
• —Strong at:

• —“Explain your logic”
• —“Fix this code”
• —“Optimize this function”

🖥️ Hardware Requirements

⚡ Usage (llama.cpp)

llama-cli -m Opus4.7-GODsGhost-Codex-4B.gguf \
  --temp 0.7 \
  --top-p 0.95 \
  --ctx-size 8192

Recommended Settings

• —Temperature: 0.6 – 0.8
• —Top-p: 0.9 – 1.0
• —Repeat penalty: 1.0 – 1.1

🧪 Use Cases

• —🧑‍💻 Local coding assistant
• —⚙️ AI IDE integration (Cursor, Cline, etc.)
• —🧩 Script generation
• —🔍 Code explanation & teaching
• —🧠 Lightweight reasoning tasks

🧾 License

• —Likely inherits from base model license (commonly Apache 2.0 or similar)
• —Verify in repository before commercial use

🧠 Philosophy

This isn’t just a model… It’s a compressed echo of a stronger mind—distilled, quantized, and sharpened into something you can run on your own machine.

A ghost in the silicon. 👻 A codex in your terminal.

📌 Notes for Deployment

• —Works best with:

• —Structured prompts
• —Clear instructions
• —Pair with:

• —RAG pipelines
• —Tool-calling wrappers
• —Code execution environments