Update README.md

README.md

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 ---
+language: en
+tags:
+- code
+- coding
+- qwen3.0
+- onnx
+- int4
+- web-ui
 license: unknown
 ---
+
+# JiRack Coder Reasoning 32B INT4
+
+A fast and efficient coding assistant with a clean built-in web UI, powered by Qwen3.0-Coder-32B-Instruct base and optimized using Microsoft ONNX Runtime.
+
+## Quick Start
+Watch the JiRack Coder 32B in action:
+**DEMO**: [JiRack Coder Reasoning 32B Web UI](https://youtu.be/mq1DxIov7Bw)
+
+### Run with Docker
+
+---
+--Default CPU--
+
+- docker run -d \
+  --name jirack_coder_reasoning_32b \
+  -p 7869:7869 \
+  --restart unless-stopped \
+  cmsmanhattan/jirack_coder_32b_int4_qwenbase:latest
+
+--Multi CPU--
+
+- docker run -d \
+  --name jirack_coder_reasoning_32b \
+  -p 7869:7869 \
+  --restart unless-stopped \
+  --memory=48g \
+  --cpus=16 \
+  cmsmanhattan/jirack_coder_32b_int4_qwenbase:latest
+
+---GPU--
+-- comming soon
+
+- docker run -d \
+   --name jirack_coder_reasoning_32b \
+   -p 7869:7869 \
+   --gpus all \
+   --restart unless-stopped \
+   cmsmanhattan/jirack_coder_32b_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 32B model** is provided under a **commercial enterprise license**.
+- 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 14B** is available under a lighter commercial license (~$12 per user/year).
+
+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 significantly heavier than JiRack Coder 14B INT4
+
+### Recommended Hardware for JiRack Coder Reasoning 32B INT4. It is one docker container
+
+| Use Case              | CPU                              | GPU (ROCm)                        | VRAM / RAM      | Expected Speed      | Recommendation     |
+|-----------------------|----------------------------------|-----------------------------------|-----------------|---------------------|--------------------|
+| **Recommended**       | Ryzen 9 7950X / 9950X            | RX 7900 XTX / 2x RX 7900 XT       | 48GB+ VRAM      | 35-55 tokens/s      | Best choice        |
+| **High Performance**  | Ryzen 9 9950X / Threadripper     | 2x RX 7900 XTX                    | 48-64GB VRAM    | 50-75 tokens/s      | Excellent          |
+| **Enterprise**        | EPYC 7003/9004 series            | MI300X or 4x RX 7900 XTX          | 96GB+ VRAM      | 70-110 tokens/s     | Best for production|
+| **Budget Option**     | Ryzen 7 7700 / 9700X             | RX 7900 XTX (24GB)                | 24GB+ VRAM      | 25-40 tokens/s      | Acceptable         |
+
+### Important Memory Notes
+
+Even though the 32B INT4 model itself takes approximately **12–14 GB**, we recommend **at least 48GB 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:** 48GB VRAM (dual RX 7900 series or MI300X)  
+**Ideal:** 48–64GB VRAM
+
+For pure CPU inference (no GPU), we recommend at least **128GB system RAM** (Ryzen 9 7950X/9950X or better).
+
+---
+
+I will use 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