vllm-awq4-qwen
vLLM Qwen 3.6-27B (AWQ-INT4) + DFlash speculative decoding on AMD Strix Halo (gfx1151 iGPU, 128 GB UMA, ROCm 7.13). 24.8 t/s single-stream, vision, tool calling, 256K context, OpenAI-compatible, Docker. Matches DGX Spark FP8+DFlash+MTP at a third of the cost. No CUDA.
Details
- Author
- hec-ovi
- Category
- Code & Development
- Platform
- GitHub
- Framework
- openai
- Language
- python
- Stars
- 35
- First indexed
- 2026-05-28
- Last active
- 2026-05-10
- Directory sync
- 2026-05-28
Overview
vLLM Qwen 3.6-27B (AWQ-INT4) + DFlash speculative decoding on AMD Strix Halo (gfx1151 iGPU, 128 GB UMA, ROCm 7.13). 24.8 t/s single-stream, vision, tool calling, 256K context, OpenAI-compatible, Docker. Matches DGX Spark FP8+DFlash+MTP at a third of the cost. No CUDA.
Quick start
git
git clone https://github.com/hec-ovi/vllm-awq4-qwenSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What vllm-awq4-qwen can do
Frequently asked questions
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Source & freshness
Profile data for vllm-awq4-qwen is sourced from GitHub, published by hec-ovi.
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