Code & Development · GitHub ·35 ★

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-qwen

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What vllm-awq4-qwen can do

  • Llm — llm task automation.
  • Coding — Generates, edits, and reviews source code across multiple languages.
  • Inference — inference task automation.
  • Api — api task automation.

Frequently asked questions

What is 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.
How do I install vllm-awq4-qwen?
Use git: `git clone https://github.com/hec-ovi/vllm-awq4-qwen`. Full setup details on the source page linked above.
Is vllm-awq4-qwen open source?
vllm-awq4-qwen is published on GitHub.
What are alternatives to vllm-awq4-qwen?
Comparable agents include ECC, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for vllm-awq4-qwen is sourced from GitHub, published by hec-ovi.

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