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chore: Regenerate all playbooks

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@ -47,6 +47,27 @@ vision-language tasks using models like DeepSeek-V2-Lite.
- An offline inference python script [found here on GitHub](https://github.com/NVIDIA/dgx-spark-playbooks/blob/main/nvidia/sglang/assets/offline-inference.py)
## Model Support Matrix
The following models are supported with SGLang on Spark. All listed models are available and ready to use:
| Model | Quantization | Support Status | HF Handle |
|-------|-------------|----------------|-----------|
| **GPT-OSS-20B** | MXFP4 | ✅ | `openai/gpt-oss-20b` |
| **GPT-OSS-120B** | MXFP4 | ✅ | `openai/gpt-oss-120b` |
| **Llama-3.1-8B-Instruct** | FP8 | ✅ | `nvidia/Llama-3.1-8B-Instruct-FP8` |
| **Llama-3.1-8B-Instruct** | NVFP4 | ✅ | `nvidia/Llama-3.1-8B-Instruct-FP4` |
| **Llama-3.3-70B-Instruct** | NVFP4 | ✅ | `nvidia/Llama-3.3-70B-Instruct-FP4` |
| **Qwen3-8B** | FP8 | ✅ | `nvidia/Qwen3-8B-FP8` |
| **Qwen3-8B** | NVFP4 | ✅ | `nvidia/Qwen3-8B-FP4` |
| **Qwen3-14B** | FP8 | ✅ | `nvidia/Qwen3-14B-FP8` |
| **Qwen3-14B** | NVFP4 | ✅ | `nvidia/Qwen3-14B-FP4` |
| **Qwen3-32B** | NVFP4 | ✅ | `nvidia/Qwen3-32B-FP4` |
| **Phi-4-multimodal-instruct** | FP8 | ✅ | `nvidia/Phi-4-multimodal-instruct-FP8` |
| **Phi-4-multimodal-instruct** | NVFP4 | ✅ | `nvidia/Phi-4-multimodal-instruct-FP4` |
| **Phi-4-reasoning-plus** | FP8 | ✅ | `nvidia/Phi-4-reasoning-plus-FP8` |
| **Phi-4-reasoning-plus** | NVFP4 | ✅ | `nvidia/Phi-4-reasoning-plus-FP4` |
### Time & risk
* **Estimated time:** 30 minutes for initial setup and validation