Update README.md

README.md

@@ -23,17 +23,17 @@ Converted using the latest llama.cpp (CUDA-accelerated quantization).
 ### Available Files
 
 **16-bit**
-- `uCoder-8b-base-BF16.gguf` → Highest precision float (similar to original, ~16 GB)
+- `uCoder-8b-base-BF16.gguf` → **Highest precision float (similar to original, ~16 GB)**
 
 **8-bit**
-- `uCoder-8b-base-Q8_0.gguf` → Near-lossless
+- `uCoder-8b-base-Q8_0.gguf` → **Near-lossless**
 
 **6-bit**
 - `uCoder-8b-base-Q6_K.gguf`
 
 **5-bit**
 - `uCoder-8b-base-Q5_K_S.gguf`
-- `uCoder-8b-base-Q5_K_M.gguf` → Great quality
+- `uCoder-8b-base-Q5_K_M.gguf` → **Great quality**
 
 **4-bit** (most popular range)
 - `uCoder-8b-base-Q4_K_M.gguf` → **Recommended balance**
@@ -47,7 +47,42 @@ Converted using the latest llama.cpp (CUDA-accelerated quantization).
 **2-bit**
 - `uCoder-8b-base-Q2_K.gguf`
 
-### Usage
-Use with llama.cpp, LM Studio, Ollama, etc.
+## Original Model Information
 
-This is a **base** model — best for code/further fine-tuning.
+
+# uCoder-8b-base
+
+![Model Architecture](https://img.shields.io/badge/Model-Qwen3--8B-blue) ![Task](https://img.shields.io/badge/Task-Coding-green) ![License](https://img.shields.io/badge/License-Apache_2.0-red) ![Method](https://img.shields.io/badge/Method-TIES_Merge-orange)
+
+**uCoder-8b-base** is a coding-specialized 8B parameter model created by TIES-merging five high-quality distilled models based on **Qwen3-8B**. This merge is designed to combine advanced reasoning capabilities with state-of-the-art coding performance, making it an ideal base for further instruction tuning or direct code generation tasks.
+
+## 🚀 Model Description
+
+This model leverages the **TIES (Trimming, Electing, and Signs)** merging method to effectively combine the weights of multiple expert models without losing the specific competencies of each. By normalizing the weights and focusing on high-reasoning distillations from top-tier frontier models (GPT-5.x, Claude 4.5, etc.), uCoder-8b-base achieves a robust balance between logic and syntax accuracy.
+
+### Key Features
+* **High Reasoning:** Inherits logic handling from Claude and GPT-based distills.
+* **Polyglot Coding:** Proficient in Python, JavaScript, C++, Rust, and other major languages.
+* **Base Model:** Built on the powerful Qwen3-8B architecture.
+* **Efficient:** 8B size allows for local inference on consumer hardware (12GB+ VRAM recommended for FP16, less for quantized).
+
+## 🧩 Merged Models
+
+The following models were merged using equal weights to create uCoder-8b-base:
+
+| Model Name | Primary Contribution |
+| :--- | :--- |
+| **Qwen3 8B GPT 5.2 High Reasoning Distill** | Advanced logic & multi-step reasoning |
+| **Qwen3 8B Claude 4.5 Opus High Reasoning Distill** | Safe code generation & detailed explanations |
+| **Qwen3 8B Gemini 3 Pro Preview Distill** | Long-context handling & creative solutions |
+| **Qwen3 8B DeepSeek v3.2 Speciale Distill** | Mathematical problem solving & optimization |
+| **Qwen3 8B GPT 5 Codex Distill** | Syntax accuracy & API implementation |
+
+## Limitations
+
+* **Base Model Nature:** This is a base model (merge), not fully instruction-tuned for chat. While it can handle chat formats, it performs best when fine-tuned or given specific few-shot examples.
+* **Coding Focus:** While capable of general reasoning, its domain expertise is heavily skewed towards programming and technical tasks.
+
+## License
+
+This model is released under the **Apache 2.0** license.