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* refactor(config): consolidate media model lists * refactor(config): unify memory configuration * refactor(config): consolidate TTS ownership * refactor(config): move typing policy to agents * refactor(config): retire product-level config surfaces * refactor(config): share scoped tool policy type * chore(config): refresh generated baselines * fix(config): honor agent typing overrides * fix(config): migrate sibling config consumers * refactor(infra): keep base64url decoder private * fix(config): strip invalid legacy TTS values * chore(config): refresh rebased baseline hash * fix(doctor): route legacy messages.tts.realtime voice to talk during tts move * refactor(config): polish final layout names * refactor(config): freeze retired tuning defaults * feat(config): add fast mode default symmetry * refactor(config): key agent entries by id * docs(config): update final layout reference * test(config): cover final layout migrations * chore(config): refresh final layout baselines * fix(config): align final layout runtime readers * fix(config): align remaining readers * fix(config): stabilize final layout migrations * fix(config): finalize config projection proof * fix(config): address final layout review * docs(release): preserve historical config names * fix(config): complete keyed agent migration * fix(config): close final migration gaps * fix(config): finish full-branch review * fix(config): complete runtime secret detection * fix(config): close final review findings * fix(config): finish canonical docs and heartbeat migration * fix(config): integrate latest main after rebase * refactor(env): isolate test-only controls * refactor(env): isolate build and development controls * refactor(env): collapse process identity indirection * refactor(env): remove duplicate config and temp aliases * docs(env): define the operator-facing allowlist * ci(env): ratchet production variable count * fix(env): remove stale provider helper import * fix(env): make ratchet sorting explicit * test(env): keep test seam in dead-code audit * test(env): cover ratchet growth and boundary; document surface budgets * docs(config): document tier-eval consolidations * docs(config): clarify speech preference ownership * test(memory): align retired tuning fixtures * refactor(memory): freeze engine heuristics * refactor(config): apply tier-eval tranche * refactor(tts): move persona shaping to providers * refactor(compaction): move prompt policy to providers * test(config): align hookified prompt fixtures * chore(deadcode): classify test-only exports * chore(github): remove unused spawn helper * chore(deadcode): classify queue diagnostics * chore(deadcode): remove unused lane snapshot export * chore(plugin-sdk): ratchet consolidated surface * fix(config): integrate latest main after rebase
44 lines
1.4 KiB
Markdown
44 lines
1.4 KiB
Markdown
# @openclaw/llama-cpp-provider
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Official llama.cpp text-inference and embedding provider for OpenClaw.
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This plugin runs local GGUF chat and embedding models in-process through
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`node-llama-cpp`.
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## Install
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```bash
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openclaw plugins install @openclaw/llama-cpp-provider
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```
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Restart the Gateway after installing or updating the plugin. Use Node 24 for
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native installs and updates.
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## Configure text inference
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Choose **Local model (llama.cpp)** during onboarding. After explicit consent,
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OpenClaw downloads Gemma 4 E4B IT Q4_K_M (approximately 5.0 GB) as the default.
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The bundled download is offered only on machines with at least 16 GiB of RAM.
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Discovery never downloads a model.
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On smaller machines, use Ollama or LM Studio with a smaller model, use a cloud
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provider, or configure any custom GGUF through `params.modelPath`. The 16 GiB
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gate applies only to OpenClaw's bundled default download; custom GGUF models
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remain available on any machine.
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See the [llama.cpp provider guide](https://docs.openclaw.ai/plugins/llama-cpp)
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for custom GGUF model configuration and hardware guidance.
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## Configure embeddings
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Set `memory.search.provider` to `local`. By default, the plugin
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downloads and uses the EmbeddingGemma GGUF model. Configure
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`memory.search.local.modelPath` to use another local path, Hugging
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Face model URI, or HTTPS model URL.
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## Package
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- Plugin id: `llama-cpp`
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- Package: `@openclaw/llama-cpp-provider`
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- Minimum OpenClaw host: `2026.6.2`
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