Update README.md

README.md

@@ -1,3 +1,116 @@
 ---
+language: en
+tags:
+- code
+- coding
+- qwen3.0
+- onnx
+- int8
+- web-ui
 license: unknown
 ---
+
+# JiRack Coder Reasoing 14B INT4
+
+A fast and efficient coding assistant with a clean built-in web UI, powered by Qwen3.0-Coder-14B-Instruct base and optimized using Microsoft ONNX Runtime.
+
+## Quick Start
+Watch the JiRack Coder 14B in action:
+**DEMO**: [JiRack Coder Reasoing 14B Web UI](https://youtu.be/mq1DxIov7Bw)
+
+
+### Run with Docker
+
+---
+--Default CPU--
+
+- docker run -d \
+  --name jirack_coder_reasoing_14b \
+  -p 7869:7869 \
+  --restart unless-stopped \
+  cmsmanhattan/jirack_coder_14b_int4_qwenbase:latest
+
+--Multi CPU--
+
+- docker run -d \
+  --name jirack_coder_reasoing_14b \
+  -p 7869:7869 \
+  --restart unless-stopped \
+  --memory=20g \
+  --cpus=12 \
+  cmsmanhattan/jirack_coder_14b_int4_qwenbase:latest
+
+---GPU--
+-- comming soon
+
+- docker run -d \
+   --name jirack_coder_reasoing_14b \
+   -p 7869:7869 \
+   --gpus all \
+   --restart unless-stopped \
+   cmsmanhattan/jirack_coder_14b_int4_gpu_qwenbase:latest
+
+---
+
+
+## Access the UI
+
+Once the container is running, open your browser and navigate to:
+
+**`http://localhost:7869`**
+
+This opens the **JiRack Coder UI** — a clean web interface designed for coding.
+
+## Changing the Port
+
+The listening port can be easily modified directly from the **Settings** panel within the JiRack Coder UI.
+
+## Licensing
+
+- The **JiRack Coder 14B model** is provided under a commercial license. It ia about 12$ for year per user .
+- All **JiRack UI clients** are provided under a commercial license.
+- However, the UI clients can be used for free when running together with the official JiRack Docker containers, as long as they are not redistributed separately.
+
+**JiRack Coder 32B** is available exclusively under a commercial enterprise license.
+
+For commercial licensing, cluster deployment, or enterprise use of the JiRack Coder 32B and JiRack Coder 14B , please contact us.
+- JiRack MS Windows 11  Desktop chat client with  ollama API setup : https://huggingface.co/kgrabko/JiRackTernary_1b/resolve/main/jirack-chat.zip
+- Live email chat with model via support@cmsmanhattan.com
+
+
+## Hardware Recommendations for AMD Systems
+It is more heavy then JiRack Coder 7B INT8
+### Recommended Hardware for JiRack Coder Reasoing 14B INT8 . It is one dcoker container
+
+| Use Case              | CPU                              | GPU (ROCm)                        | VRAM / RAM     | Expected Speed      | Recommendation     |
+|-----------------------|----------------------------------|-----------------------------------|----------------|---------------------|--------------------|
+| **Recommended**       | Ryzen 7 7700 / 9700X             | RX 7900 XTX / 7900 XT             | 24GB VRAM      | 50-75 tokens/s      | Best choice        |
+| **High Performance**  | Ryzen 9 7950X / 9950X            | RX 7900 XTX                       | 24GB+ VRAM     | 65-90 tokens/s      | Excellent          |
+| **Enterprise**        | EPYC 7003/9004 series            | MI300X or 2x RX 7900 XTX          | 48GB+ VRAM     | 90-140 tokens/s     | For 32B model      |
+| **Budget Option**     | Ryzen 5 7600 / 9600X             | RX 7800 XT (16GB)                 | 16GB VRAM      | 35-50 tokens/s      | Acceptable         |
+
+### Important Memory Notes
+
+Even though the 14B INT4 model itself takes approximately **5–6 GB**, we recommend **at least 24GB VRAM** for the following reasons:
+
+- KV-cache consumption during generation (especially with long context)
+- ONNX Runtime overhead and temporary buffers
+- System stability and to avoid Out of Memory errors
+- Room for larger context windows
+
+**Minimum recommended:** 24GB VRAM (RX 7900 series)  
+**Ideal:** 24–32GB VRAM
+
+For pure CPU inference (no GPU), we recommend at least **64GB system RAM** (Ryzen 9 7950X/9950X).
+
+---
+I will the default model in full FP32 precision for quantization, allowing us to find the optimal balance between model size and performance.
+
+
+## 📧 Contact & Licensing
+For joint venture opportunities, hardware integration, or licensing inquiries:
+- **Email:** [grabko@cmsmanhattan.com](mailto:grabko@cmsmanhattan.com)
+- **Phone:** +1 (516) 777-0945
+- **Location:** New York, USA
+
+