WithinUsAI/Opus4.7-GODsGhostCodex-4B.GGUF

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🧠 Opus4.7 – GODsGhost Codex 4B (GGUF)

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

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🌌 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.

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💻 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”

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🖥️ Hardware Requirements

Quant	RAM Needed	Notes
Q4_K_M	~3–4 GB	Best balance
Q5_K_M	~4–5 GB	Better quality
Q8_0	~6–8 GB	Highest fidelity

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⚡ 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

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🧪 Use Cases

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

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🧾 License

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

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🧠 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.

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📌 Notes for Deployment

• Works best with:

  • Structured prompts
  • Clear instructions

• Pair with:

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

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