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 Noah-H309/Qwen3-0.6B-BF16:BF16
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 "Noah-H309/Qwen3-0.6B-BF16:BF16" \
  --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

Qwen3-0.6B-BF16 for use with LM Studio

Original model weights quantized in initial BF16 quantization only, as released by company.

https://huggingface.co/Qwen/Qwen3-0.6B/tree/main

Uses: Information Retrieval: answer questions about news, history, technology, science, and more.
Problem-Solving: Help with math problems, technical issues, or logical reasoning.
Writing Assistance: Draft essays, write stories, or create content based on prompts.
Language Support: Translate between languages like English, Spanish, French, etc.
Communication: Engage in conversations to share ideas, ask questions, and collaborate.

Performance: approx. 180 tok/s with a 3070ti

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