Llama Cpp plugin

Local GGUF text inference and embeddings through node-llama-cpp.

Distribution

• Package: @openclaw/llama-cpp-provider
• Install route: npm; ClawHub

Surface

providers: llama-cpp; contracts: embeddingProviders

Default text model

During interactive setup, OpenClaw offers Gemma 4 E4B IT Q4_K_M as an approximately 5.0 GB bundled download. The offer requires at least 16 GiB of total RAM. Existing cached models are still detected on smaller machines.

To use another model, set params.modelPath to any custom GGUF. Custom models are not subject to the bundled-download RAM requirement. On machines below the requirement, you can also run a smaller model through Ollama or LM Studio, or choose a cloud provider.

Related docs

• llama-cpp