The plugin installs a pinned, integrity-verified llama-server and configures OpenClaw's existing localService supervisor. Model traffic uses the normal OpenAI-compatible chat and embedding transports.

Install

openclaw plugins install @openclaw/llama-cpp-provider

Restart the Gateway after installing or updating the plugin, then choose llama.cpp once during interactive onboarding or configuration.

Configure text inference

After explicit consent, OpenClaw installs the matching server build and downloads Gemma 4 E4B IT Q4_K_M (approximately 5.0 GB) plus EmbeddingGemma (approximately 0.3 GB). The default chat download is offered only on machines with at least 16 GiB of RAM.

Custom GGUF models remain supported through params.modelPath. Rerun llama.cpp setup after changing the model so OpenClaw can verify the file and regenerate the managed router preset.

See the llama.cpp provider guide for platform requirements, custom GGUF configuration, diagnostics, and repair.

Configure embeddings

Set memory.search.provider to local. The plugin preserves the historical local embedding provider and index identity while serving requests through the managed server's /v1/embeddings endpoint.

Package

Plugin id: llama-cpp
Package: @openclaw/llama-cpp-provider
Minimum OpenClaw host: 2026.6.2