This repository contains small deployment notes and Spark vLLM recipe files for running optimized LLM serving setups.
| Path | Description |
|---|---|
| spark-vllm-docker/rdtand-Qwen3.6-27B-PrismaQuant-5.5bit-vllm | Qwen3.6 27B PrismaQuant vLLM recipe, FlashQLA setup notes, and chat-template fix. |
| spark-vllm-docker/rdtand-Qwen3.6-35B-A3B-PrismaQuant-4.75bit-vllm | Qwen3.6 35B A3B PrismaQuant vLLM recipe, chat-template files, and initial benchmark report. |
| spark-vllm-docker/nvidia-Qwen3.6-35B-A3B-NVFP4 | Qwen3.6 35B A3B NVIDIA NVFP4 vLLM recipe, chat-template files, and initial benchmark report. |
The active recipe areas are:
rdtand/Qwen3.6-27B-PrismaQuant-5.5bit-vllmrdtand/Qwen3.6-35B-A3B-PrismaQuant-4.75bit-vllmnvidia/Qwen3.6-35B-A3B-NVFP4
For example, start with:
cd spark-vllm-docker/rdtand-Qwen3.6-27B-PrismaQuant-5.5bit-vllmSee each recipe README for build steps, runtime defaults, mod setup, and chat-template benchmark notes:
Qwen3.6 27B PrismaQuant vLLM Notes
Qwen3.6 35B A3B PrismaQuant vLLM Notes
Qwen3.6 35B A3B NVIDIA NVFP4 vLLM Notes
See LICENSE.txt.