Update README.md

README.md

@@ -2,6 +2,9 @@
 base_model: upstage/Solar-Open2-250B
 base_model_relation: quantized
 library_name: vllm
+license: other
+license_name: upstage-solar-license
+license_link: LICENSE
 pipeline_tag: text-generation
 language:
   - en
@@ -40,20 +43,16 @@ large language models.
     quantization process.
 
 ## License
-This repository contains both model weights and code,
-which are licensed under different terms:
 
-1. MODEL WEIGHTS (*.safetensors)
-   The Upstage Solar License is based on the permissive Apache License 2.0 with specific mandatory conditions to support the Solar ecosystem. 
-   
-   **Key requirements for Derivative AI Models** (create / train / fine-tune / distill / improve using Solar Open 2): 
-   - Naming: prefix your model name with "Solar" (e.g., Solar-MyModel-v1).
-   - Attribution: prominently display "Built with Solar" in related public-facing materials.
-   - Notice: include a copy of the Upstage Solar License with your derivative model.
+Solar Open 2 is distributed under the [**Upstage Solar License**](https://huggingface.co/upstage/Solar-Open2-250B/blob/main/LICENSE).
 
-2. CODE (*.py, *.json, *.jinja files)
-   Licensed under **Apache License 2.0**
-   See: https://www.apache.org/licenses/LICENSE-2.0
+**Key requirements for Derivative AI Models** (create / train / fine-tune / distill / improve using Solar Open 2):
+
+- **Naming:** prefix your model name with "Solar" (e.g., `Solar-MyModel-v1`).
+
+- **Attribution:** prominently display "Built with Solar" in related public-facing materials.
+
+- **Notice:** include a copy of the Upstage Solar License with your derivative model.
 
 ## Performance
 
@@ -85,23 +84,53 @@ which are licensed under different terms:
 | KorMedMCQA              |      92.99       |       92.85       |
 | **Avg.**                |    **81.57**     |     **81.17**     |
 
-## Usage
+## Quick Start
 
 This model is packed in the AutoRound (GPTQ-compatible) INT4 format and can be served
 directly with vLLM:
 
+```bash
+uv venv --python 3.12 --seed solar_open2_venv
+source .venv/bin/activate
+
+VLLM_PRECOMPILED_WHEEL_LOCATION="https://github.com/vllm-project/vllm/releases/download/v0.22.0/vllm-0.22.0%2Bcu129-cp38-abi3-manylinux_2_28_x86_64.whl" \
+VLLM_USE_PRECOMPILED=1 \
+uv pip install --reinstall-package vllm --torch-backend=cu129 \
+  "git+https://github.com/UpstageAI/vllm.git@v0.22.0-solar-open2"
+```
+
 ```bash
 vllm serve nota-ai/Solar-Open2-250B-Nota-INT4 \
+  --served-model-name solar-open2-250b \
   --tensor-parallel-size 4 \
-  --trust-remote-code
+  --default-chat-template-kwargs '{"think_render_option":"preserved"}' \
+  --reasoning-parser solar_open2 \
+  --tool-call-parser solar_open2 \
+  --enable-auto-tool-choice \
+  --logits-processors vllm.v1.sample.logits_processor.solar_open2:SolarOpen2TemplateLogitsProcessor
 ```
 
 - Set `--tensor-parallel-size` according to the number of GPUs available in your serving environment.
 
-- For reasoning and tool-calling, use the reasoning parser and tool parser provided in the original [upstage/Solar-Open2-250B](https://huggingface.co/upstage/) model card.
-
 - See the original model card for the prompt format, parser configuration, and further details.
 
+Send a chat completion request:
+
+```bash
+curl http://localhost:8000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "solar-open2-250b",
+    "messages": [
+      {"role": "user", "content": "What is Upstage?"}
+    ],
+    "max_tokens": 131584,
+    "temperature": 1.0,
+    "top_p": 1.0,
+    "reasoning_effort": "high"
+  }'
+```
+
 ## Citation
 ```bibtex
 @inproceedings{park2026dreammoe,