Ornith-1.5-9B

· sglang · 128K context · RTX PRO 4500 Blackwell · 32 GB

Ornith 1.5, the dense 9B.

– tok/sdecode

– tok/sprefill

128Kcontext window

Earlier checkSep 19, 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 Start the server

docker run --rm \
  --gpus all \
  -p 8000:30000 \
  ghcr.io/0xsero/sglang@sha256:787461f889674cdd9339be2409a6e8b46ec2f5aac71669481c319f87c2beca13 \
  /opt/sglang/bin/python3 \
  -m sglang.launch_server \
  --model-path /opt/models/Ornith-1.5-9B \
  --served-model-name Ornith-1.5-9B \
  --host 0.0.0.0 \
  --port 30000 \
  --context-length 131072 \
  --mem-fraction-static 0.85 \
  --tool-call-parser qwen3_coder \
  --reasoning-parser qwen3

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: inside the image
Image: ghcr.io/0xsero/sglang@sha256:787461f889674cdd9339be2409a6e8b46ec2f5aac71669481c319f87c2beca13
Launch: sglang-ornith-1.5-9b-bf16-128k ›
Recipe file: registry/recipes/nvidia/rtx-pro-4500-blackwell-32gb/ornith-1.5-9b.sglang.128k.json ›
Model released: Aug 18, 2026
Tested: earlier acceptance