Qwen3.8-27B-AWQ-BF16-INT4

· vllm · 256K context · RTX Spark N1X · 128 GB

cyankiwi's AWQ INT4 quant of Qwen3.8-27B, linear attention kept in BF16.

16 tok/sdecode

330 tok/sprefill

256Kcontext window

Tested on this cardOct 15, 2026

Run it

Follow the steps below to download and run this recipe. Omarchy Local AI lists the recipes it can launch on your hardware. The server then answers on http://localhost:8000/v1.

1 Download the weights

hf download cyankiwi/Qwen3.8-27B-AWQ-BF16-INT4 \
  --revision dc430725f831dd90d9271738b877879a46a82239 \
  --local-dir ~/models/Qwen3.8-27B-AWQ-BF16-INT4-dc430725

2 Start the server

docker run --rm \
  --gpus all \
  -p 8000:8000 \
  --shm-size 16g \
  -v ~/models/Qwen3.8-27B-AWQ-BF16-INT4-dc430725:/models/Qwen3.8-27B-AWQ-BF16-INT4-dc430725:ro \
  --entrypoint vllm \
  vllm/vllm-openai:v0.30.0@sha256:8a69ffad015f138d7170c4ddc429e230a3bc1c1719f67e14324749df200a4b90 \
  serve \
  /models/Qwen3.8-27B-AWQ-BF16-INT4-dc430725 \
  --served-model-name Qwen3.8-27B-AWQ-BF16-INT4-dc430725 \
  --host 0.0.0.0 \
  --port 8000 \
  --max-model-len 262144 \
  --max-num-seqs 4 \
  --gpu-memory-utilization 0.7 \
  --kv-cache-dtype fp8 \
  --enable-auto-tool-choice \
  --tool-call-parser qwen3_coder \
  --reasoning-parser qwen3 \
  --max-num-batched-tokens 8192 \
  --enable-prefix-caching \
  --speculative-config '{"method":"dflash","model":"incoai/Qwen3.8-27B-DFlash2","revision":"015e795645c74b1a0eeef3b570031fb62e769bc5","num_speculative_tokens":7}' \
  --safetensors-load-strategy eager

What it passed

✓ loadLoads and serves within an hour

✓ chatAnswers a plain question and stops on its own

✓ reasoningThinks separately and gets 17 × 23 right

✓ toolsCalls a tool with the right arguments and uses the result

✓ contextRecalls a code buried in a prompt that fills 85% of the window

✓ speedDecodes at 15 tok/s or more

Passed all six checks on a real NVIDIA RTX Spark N1X on Oct 15, 2026.

Details

Weights: cyankiwi/Qwen3.8-27B-AWQ-BF16-INT4 @ dc430725f8 ›
Image: vllm/vllm-openai:v0.30.0@sha256:8a69ffad015f138d7170c4ddc429e230a3bc1c1719f67e14324749df200a4b90
Engine profile: vllm ›
Recipe file: registry/recipes/nvidia/rtx-spark-n1x-128gb/qwen3.8-27b-awq-bf16-int4.vllm.256k.json ›
Model released: Aug 17, 2026
Tested: owner, NVIDIA RTX Spark N1X