Sybil AI
‹ Radeon PRO W7800

Ornith-1.5-35B-A3B

· llama.cpp · 8K context · 2 × Radeon PRO W7800 in one machine · 96 GB

Ornith 1.5, a 35B mixture-of-experts with built-in MTP.

79 tok/sdecode
– tok/sprefill
8Kcontext window
Earlier checkSep 7, 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 ornith-ai/Ornith-1.5-35B-A3B-GGUF \
      --revision 12393612fd4f730ff5aadc23e9b8f9648aa49ceb
  2. 2 Write the server config
    cat > ornith-1.5-35b-a3b.llama.cpp.8k.2x.yml <<'EOF'
    {
      "llamacpp": {
        "backend": "rocm",
        "prefer_system": false,
        "rocm_args": "--flash-attn on -b 2048 -ub 512 -sm tensor -ts 0.5,0.5 --load-mode dio",
        "rocm_bin": "b1323"
      },
      "rocm_channel": "nightly"
    }
    EOF
  3. 3 Start the server
    docker run --rm \
      --device /dev/kfd --device /dev/dri \
      -p 8000:13305 \
      --ipc host \
      --shm-size 16g \
      -v ~/.cache/huggingface:/root/.cache/huggingface \
      -v $PWD/ornith-1.5-35b-a3b.llama.cpp.8k.2x.yml:/opt/lemonade/.config/lemonade/config.json:ro \
      --entrypoint /opt/lemonade/lemond \
      ghcr.io/lemonade-sdk/lemonade-server:v11.9.0@sha256:7c780707cd695392a8680f557c7c1d55521383a71b1c4c5a9d9e6a226a1bee91 \
      --host 0.0.0.0
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 the older check (loads and chats); a full six-check run is pending.

Details
Weights
ornith-ai/Ornith-1.5-35B-A3B-GGUF @ 12393612fd ›
Image
ghcr.io/lemonade-sdk/lemonade-server:v11.9.0@sha256:7c780707cd695392a8680f557c7c1d55521383a71b1c4c5a9d9e6a226a1bee91
Launch
llama.cpp-ornith-1.5-35b-a3b-q5-k-m-8k-v2 ›
Recipe file
registry/recipes/amd/radeon-pro-w7800-48gb/ornith-1.5-35b-a3b.llama.cpp.8k.2x.json ›
Model released
Aug 18, 2026
Tested
earlier acceptance