Update README.md

README.md

@@ -1,18 +1,18 @@
 ---
-language: 
+language:
 - en
-- zh 
-- ja 
-- ko 
-- fr 
-- es 
-- pt 
-- de 
-- it 
-- ru 
-- ar 
-- vi 
-- th 
+- zh
+- ja
+- ko
+- fr
+- es
+- pt
+- de
+- it
+- ru
+- ar
+- vi
+- th
 tags:
 - code
 - coding
@@ -23,54 +23,59 @@ tags:
 license: unknown
 ---
 
-# JiRack Coder Reasoing 8B INT4
+# JiRack Coder Reasoning 8B INT4
 
-A fast and efficient coding assistant with a clean built-in web UI, powered by Qwen3.0-Coder-8B-Instruct base and optimized using Microsoft ONNX Runtime.
+A fast and efficient coding assistant with a clean built-in web UI, powered by **Qwen3.0-Coder-8B-Instruct** and optimized using Microsoft ONNX Runtime.
 
-- JiRack is cloud model and save money on cloud and can be used as expert model in RAG on cloud with ONNX JiRack java server as alternative.
-- Subscription 1$ per month per user in updated license if not company 
+- JiRack is a cloud-ready model that helps save money on cloud infrastructure. It can be used as an expert model in RAG deployments, with the ONNX JiRack Java server as an alternative.
+- Subscription: **$1 per month per user** (updated license for non-company use).
 
 ## Quick Start
-Watch the JiRack Coder 8B in action:
-**DEMO**: [JiRack Coder Reasoing 8B Web UI](https://youtu.be/mq1DxIov7Bw)
 
+Watch JiRack Coder Reasoning 8B in action:
+
+**DEMO**: [JiRack Coder Reasoning 8B Web UI](https://youtu.be/mq1DxIov7Bw)
 
 ### Run with Docker
 
----
---Default CPU--
+**Default CPU**
 
-- docker run -d \
+```bash
+docker run -d \
   --name jirack_coder_reasoing_8b \
   -p 7869:7869 \
   --restart unless-stopped \
   cmsmanhattan/jirack_coder_8b_int4_qwenbase:latest
+```
 
---Multi CPU--
+**Multi CPU**
 
-- docker run -d \
+```bash
+docker run -d \
   --name jirack_coder_reasoing_8b \
   -p 7869:7869 \
   --restart unless-stopped \
   --memory=20g \
   --cpus=12 \
   cmsmanhattan/jirack_coder_8b_int4_qwenbase:latest
+```
 
----GPU--
--- comming soon
+**GPU (Coming soon)**
 
-- docker run -d \
-   --name jirack_coder_reasoing_8b \
-   -p 7869:7869 \
-   --gpus all \
-   --restart unless-stopped \
-   cmsmanhattan/jirack_coder_8b_int4_gpu_qwenbase:latest
+```bash
+docker run -d \
+  --name jirack_coder_reasoing_8b \
+  -p 7869:7869 \
+  --gpus all \
+  --restart unless-stopped \
+  cmsmanhattan/jirack_coder_8b_int4_gpu_qwenbase:latest
+```
 
----
+### Docker Compose Example
 
+```yaml
 services:
-  
-    
+  jirack:
     image: cmsmanhattan/jirack_coder_8b_int4_qwenbase:latest
     container_name: jirack_onnx_service
     ports:
@@ -88,15 +93,16 @@ services:
     deploy:
       resources:
         limits:
-          memory: 16g 
+          memory: 16g
+```
 
 ## Access the UI
 
 Once the container is running, open your browser and navigate to:
 
-**`http://localhost:7869`**
+`http://localhost:7869`
 
-This opens the **JiRack Coder UI** — a clean web interface designed for coding.
+This opens the JiRack Coder UI — a clean web interface designed for coding.
 
 ## Changing the Port
 
@@ -104,51 +110,52 @@ The listening port can be easily modified directly from the **Settings** panel w
 
 ## Licensing
 
-- The **JiRack Coder 8B 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.
+- The JiRack Coder Reasoning 8B model is provided under a commercial license ($12 per user per year).
+- 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.
 
-**JiRack Coder 32B** is available exclusively under a commercial enterprise license.
+For commercial licensing, cluster deployment, or enterprise use, please contact us.
 
-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
+- **JiRack MS Windows 11 Desktop Client (with Ollama API):**  
+  https://huggingface.co/kgrabko/JiRackTernary_1b/resolve/main/jirack-chat.zip
 
+- **Live email chat with the model:** support@cmsmanhattan.com
 
 ## Hardware Recommendations for AMD Systems
-It is more heavy then JiRack Coder 7B INT8
-### Recommended Hardware for JiRack Coder Reasoing 8B 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         |
+Note: This model is heavier than JiRack Coder 7B INT8.
+
+### Recommended Hardware for JiRack Coder Reasoning 8B INT4 (single Docker container)
 
-### Important Memory Notes
+| 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     |
 
-Even though the 8B INT4 model itself takes approximately **5–6 GB**, we recommend **at least 24GB VRAM** for the following reasons:
+## Important Memory Notes
 
-- KV-cache consumption during generation (especially with long context)
+Even though the 8B 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
+- System stability and avoiding 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.
+For pure CPU inference (no GPU), we recommend at least 64GB system RAM (Ryzen 9 7950X/9950X).
 
+I added the default model in full FP32 precision. This serves as the base 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
 
+For joint venture opportunities, hardware integration, or licensing inquiries:
 
+- **Email:** grabko@cmsmanhattan.com
+- **Phone:** +1 (516) 777-0945
+- **Location:** New York, USA