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README.md

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+
 ---
 license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+tags:
+  - gguf
+  - code
+  - text-generation
+  - edge-ai
+  - qwen
+model_creator: MLM8372984732947
+model_name: Echo-CodeEX-GGUF
+pipeline_tag: text-generation
+language:
+  - en
 ---
+
+# 💻 Echo-CodeEX (0.5B Parameters - GGUF)
+
+**Echo-CodeEX** is a specialized, edge-optimized 0.5B parameter variant engineered explicitly for offline programming assistance, code execution logic, and structured syntax manipulation. Built upon a fine-tuned **Qwen-2.5-Instruct** architecture and fully merged into a standalone GGUF binary, it balances lightning-fast syntax completion with low-resource hardware execution.
+
+## ✨ Key Features
+
+* **Syntax Grounded:** Fine-tuned specifically to prioritize code construction, structural scripting loops, and algorithmic optimizations over open-ended narrative generation.
+* **Unified GGUF Engine:** Zero dependencies on external floating adapter weights or complex Python multi-layer environments. Loadable instantly across standard local runtimes (`llama.cpp`, `node-llama-cpp`, `Ollama`).
+* **Fill-in-the-Middle (FIM) Ready:** Inherits raw structural token patterns from the Qwen architecture, enabling seamless inline logic insertions and multi-line code predictions.
+
+---
+
+## 🧠 Code Prompt Engineering Structure
+
+To bypass open-ended conversational filler and force direct code output, structure your inputs strictly within the **ChatML layout**. Define the system parameters explicitly to receive clean code blocks:
+
+```text
+<|im_start|>system
+You are Echo-CodeEX, an expert code generation assistant. Respond only with structured code blocks and clean syntax commentaries.<|im_end|>
+<|im_start|>user
+Write a clean Python function to parse JSON strings safely.<|im_end|>
+<|im_start|>assistant
+```
+
+## 💻 Sample Implementation (Node.js)
+You can spin this specialized model up locally inside your developer environment using node-llama-cpp:
+
+```JavaScript
+import {LlamaModel, LlamaContext, LlamaSequence} from "node-llama-cpp";
+import path from "path";
+
+const model = new LlamaModel({
+    modelPath: path.join(__dirname, "echo-codeex.gguf")
+});
+
+const context = new LlamaContext({model});
+const sequence = new LlamaSequence({context});
+
+const prompt = `<|im_start|>system\nYou are Echo-CodeEX.<|im_end|>\n<|im_start|>user\nWrite a basic bash script to check if a file exists.\n<|im_end|>\n<|im_start|>assistant\n`;
+const tokens = model.tokenize(prompt);
+
+console.log("Generating script output...");
+const response = await sequence.evaluate(tokens, {
+    temperature: 0.1 // Kept low to enforce syntax consistency over creativity
+});
+print(model.detokenize(response));
+```
+## 📄 License
+This model's merged weights are distributed under the `Apache 2.0 License`, fully compliant with the core permissions and commercial deployment conditions set by the original Qwen development team.