Sybil AI
‹ RTX 3090

Qwen3.6-35B-A3B

EXL3 3 bpw · sglang · 256K context · RTX 3090 · 24 GB

Qwen3.6's 35B mixture-of-experts model with 3B active parameters.

310 tok/sdecode
1,907 tok/sprefill
256Kcontext window
Tested on this cardSep 26, 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. 1 Download the weights
    hf download yeasah/Qwen3.6-35B-A3B-exl3 \
      --revision 73da68ef827084d72c59936b4c2088c6580f4e2b \
      --local-dir ~/models/Qwen3.6-35B-A3B-exl3-73da68ef
  2. 2 Start the server
    docker run --rm \
      --gpus all \
      -p 8000:30000 \
      --shm-size 16g \
      -e CUDA_DEVICE_ORDER=PCI_BUS_ID \
      -e HF_HUB_OFFLINE=1 \
      -e SGLANG_EXL3_PREFILL_FP16_ACC=1 \
      -e SGLANG_EXL3_VIT_MLP_CHUNK=8192 \
      -e SGLANG_EXL3_VIT_SDPA=1 \
      -e SGLANG_VLM_CACHE_SIZE_MB=256 \
      -v ~/models/Qwen3.6-35B-A3B-exl3-73da68ef:/models/Qwen3.6-35B-A3B-EXL3-3.00bpw-H5:ro \
      --entrypoint /opt/entrypoint.sh \
      ghcr.io/0xsero/sglang-exl3@sha256:c8922bd7256caf1b273af7ac49221e652be9e6072c1cdec4b959f506fd415d79 \
      python3 \
      -m sglang.launch_server \
      --model-path /models/Qwen3.6-35B-A3B-EXL3-3.00bpw-H5 \
      --quantization exl3 \
      --trust-remote-code \
      --host 0.0.0.0 \
      --port 30000 \
      --served-model-name Qwen3.6-35B-A3B-EXL3-3.00bpw-H5 \
      --context-length 262144 \
      --mem-fraction-static 0.85 \
      --kv-cache-dtype fp8_e4m3 \
      --mamba-ssm-dtype bfloat16 \
      --max-running-requests 1 \
      --max-mamba-cache-size 5 \
      --cuda-graph-max-bs-decode 1 \
      --cuda-graph-max-bs-prefill 240 \
      --chunked-prefill-size 4096 \
      --max-prefill-tokens 4096 \
      --prefill-decode-interval 16 \
      --reasoning-parser qwen3 \
      --tool-call-parser qwen3_coder \
      --image-processor-backend pil \
      --speculative-algorithm NEXTN \
      --speculative-num-steps 3 \
      --speculative-eagle-topk 1 \
      --speculative-num-draft-tokens 4 \
      --speculative-token-map /opt/sglang-exl3/tokenmaps/qwen36_hot32k_v2.pt \
      --disable-shared-experts-fusion
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 RTX 3090 on Sep 26, 2026.

Details
Weights
yeasah/Qwen3.6-35B-A3B-exl3 @ 73da68ef82 ›
Image
ghcr.io/0xsero/sglang-exl3@sha256:c8922bd7256caf1b273af7ac49221e652be9e6072c1cdec4b959f506fd415d79
Launch
sglang-qwen3.6-35b-a3b-exl3-3bpw-mtp-vision-256k ›
Recipe file
registry/recipes/nvidia/rtx-3090-24gb/qwen3.6-35b-a3b.sglang.256k.json ›
Model released
Apr 15, 2026
Tested
owner, RTX 3090