How to use from
OpenClaw
Start the llama.cpp server
# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf baa-ai/paddock-reader-35b-gguf
Configure OpenClaw
# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "baa-ai/paddock-reader-35b-gguf" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Quick Links

Paddock Reader 35B (GGUF)

Optional big reader for the baa.ai Paddock console (auto-router escalation / high-quality mode). 35B-A3B MoE, RAM-optimized quantization, GGUF. ~15.2 GB; recommend >=24 GB RAM or GPU. Enable at install with PADDOCK_BIG_READER=1 or pull later; verify against SHA256SUMS.

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GGUF
Model size
35B params
Architecture
qwen35moe
Hardware compatibility
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