🧠 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
| 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 |
⚡ 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