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chore: import upstream snapshot with attribution
2026-07-13 12:43:05 +08:00

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{
"id": "local-inference",
"name": "Local Inference",
"description": "Unified Eliza-1 local inference provider — text generation, embeddings, voice (TTS/ASR), and image description via the elizaOS llama.cpp fork. Replaces the deprecated plugin-local-ai / plugin-local-embedding pair.",
"npmName": "@elizaos/plugin-local-inference",
"version": "2.0.0-beta.2",
"source": "bundled",
"tags": [
"ai-provider",
"llm",
"local-models",
"self-hosted",
"local",
"embedding",
"voice",
"tts",
"transcription",
"eliza-1"
],
"config": {
"MODELS_DIR": {
"type": "file-path",
"required": false,
"sensitive": false,
"label": "Models Dir",
"help": "Filesystem path to the directory where GGUF models are stored. Defaults to <stateDir>/models.",
"advanced": false
},
"CACHE_DIR": {
"type": "file-path",
"required": false,
"sensitive": false,
"label": "Cache Dir",
"help": "Filesystem path to the cache directory for model assets (tokenizers, ONNX caches).",
"advanced": false
},
"LOCAL_SMALL_MODEL": {
"type": "string",
"required": false,
"sensitive": false,
"default": "text/eliza-1-2b-128k.gguf",
"label": "Small Model",
"help": "Filename of the small local model (TEXT_SMALL handler).",
"advanced": false
},
"LOCAL_LARGE_MODEL": {
"type": "string",
"required": false,
"sensitive": false,
"default": "text/eliza-1-4b-128k.gguf",
"label": "Large Model",
"help": "Filename of the large local model (TEXT_LARGE handler).",
"advanced": false
},
"LOCAL_EMBEDDING_MODEL": {
"type": "string",
"required": false,
"sensitive": false,
"default": "text/eliza-1-2b-128k.gguf",
"label": "Embedding Model",
"help": "Filename of the embedding model used for vector embeddings.",
"advanced": false
},
"LOCAL_EMBEDDING_DIMENSIONS": {
"type": "number",
"required": false,
"sensitive": false,
"default": "1024",
"label": "Embedding Dimensions",
"help": "Number of dimensions the embedding model outputs.",
"advanced": false
},
"CUDA_VISIBLE_DEVICES": {
"type": "string",
"required": false,
"sensitive": false,
"label": "CUDA Visible Devices",
"help": "Set to restrict which CUDA-enabled GPUs the runtime sees (e.g. `0,1`).",
"advanced": true
},
"ELIZA_LOCAL_LLAMA": {
"type": "string",
"required": false,
"sensitive": false,
"label": "AOSP FFI Loader",
"help": "Set to `1` on Android (elizaOS build) to enable the in-process bun:ffi loader (libllama.so + libeliza-llama-shim.so) via the @elizaos/plugin-aosp-local-inference companion plugin.",
"advanced": true
},
"ELIZA_MODEL": {
"type": "select",
"required": false,
"sensitive": false,
"label": "Eliza-1 Tier",
"help": "Select a published Eliza-1 fine-tune tier. The runtime auto-picks the right quant flavor (gguf/polarquant/fp8/bf16) for your detected GPU and pulls it from HuggingFace on first use.",
"options": [
{
"value": "eliza-1-2b",
"label": "Eliza-1 2B (mobile / entry)",
"description": "Smallest/entry tier; fits Android/iOS on-device inference and 16 GB consumer GPUs at Q4_K_M."
},
{
"value": "eliza-1-4b",
"label": "Eliza-1 4B (16-24 GB GPU)",
"description": "Desktop-tier fine-tune for everyday workstation use."
},
{
"value": "eliza-1-9b",
"label": "Eliza-1 9B (24-48 GB GPU)",
"description": "Workstation-tier fine-tune; Q4_K_M for 16 GB cards, PolarQuant for 24+."
},
{
"value": "eliza-1-27b",
"label": "Eliza-1 27B (cloud / 48 GB+)",
"description": "Cloud-tier fine-tune; Q6_K GGUF on RTX 5090, fp8/bf16 on H200/B200."
}
],
"advanced": false
}
},
"render": {
"visible": true,
"pinTo": [],
"style": "card",
"icon": "Monitor",
"group": "ai-provider",
"groupOrder": 0,
"actions": ["enable", "configure"]
},
"resources": {
"homepage": "https://github.com/elizaOS/eliza/tree/main/plugins/plugin-local-inference#readme",
"repository": "https://github.com/elizaOS/eliza",
"setupGuideUrl": "https://docs.eliza.ai/plugin-setup-guide#local-inference"
},
"dependsOn": [],
"kind": "plugin",
"subtype": "ai-provider",
"launch": {
"type": "server-launch",
"capabilities": [],
"bootHook": {
"specifier": "@elizaos/plugin-local-inference/runtime",
"exportName": "registerLocalInferenceBoot"
}
}
}