---
datasets:
- WithinUsAI/Python_GOD_Coder_50k
- Roman1111111/claude-opus-4.6-10000x
- Crownelius/Opus-4.6-Reasoning-3300x
- TeichAI/Claude-Opus-4.6-Reasoning-887x
- peteromallet/my-personal-codex-data
- misterkerns/my-personal-claude-code-data
- HuggingFaceH4/llava-instruct-mix-vsft
- m-a-p/Code-Feedback
- peteromallet/dataclaw-peteromallet
- Crownelius/Opus-4.6-Reasoning-2100x-formatted
language:
- en
base_model:
- Qwen/Qwen3.5-4B
tags:
- gguf
- llama.cpp
- text-generation
- code
- coding
- reasoning
- distilled
- local-llm
- 4b
- withinusai
- opus4.7
- opus4.6
- codex
- instruction-tuned
- developer
- claude4.7
- claude4.6
- Qwen3.5
- Qwen3.5-4B
- GhostCoder
- GOD-Coder
- SelfAware
---
---

# 🧠 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 |

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## ⚡ Usage (llama.cpp)

```bash
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