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Peter Steinberger
1348387076
Move llama.cpp chat and local embeddings onto a verified externally managed llama-server runtime. Remove the in-process native runtime, forked embedding workers, and node-llama-cpp dependency while preserving guided setup, local GGUF models, tool-capable agent runs, diagnostics, and operator docs.
1.1 KiB
1.1 KiB
summary, read_when, title
| summary | read_when | title | |
|---|---|---|---|
| Managed local llama.cpp server for GGUF chat and embeddings. |
|
Llama Cpp plugin |
Llama Cpp plugin
Managed local llama.cpp server for GGUF chat and embeddings.
Distribution
- Package:
@openclaw/llama-cpp-provider - Install route: npm; ClawHub
Surface
providers: llama-cpp; contracts: embeddingProviders
Default text model
During interactive setup, OpenClaw installs a pinned, verified llama-server
and offers Gemma 4 E4B IT Q4_K_M as an approximately 5.0 GB download. The model
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.