CyberMind-FR
b245fdb3e7
LocalAI changes: - Rewrite localaictl to use Docker/Podman instead of standalone binary - Use localai/localai:v2.25.0-ffmpeg image with all backends included - Fix llama-cpp backend not found issue - Auto-detect podman or docker runtime - Update UCI config with Docker settings New Ollama package: - Add secubox-app-ollama as lighter alternative to LocalAI - Native ARM64 support with backends included - Simple CLI: ollamactl pull/run/list - Docker image ~1GB vs 2-4GB for LocalAI Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
51 lines
1.6 KiB
Plaintext
51 lines
1.6 KiB
Plaintext
config main 'main'
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option enabled '0'
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option api_port '8080'
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option api_host '0.0.0.0'
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option data_path '/srv/localai'
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option models_path '/srv/localai/models'
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option memory_limit '2g'
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option threads '4'
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option context_size '2048'
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option debug '0'
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option cors '1'
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# Docker/Podman settings
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config docker 'docker'
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option image 'localai/localai:v2.25.0-ffmpeg'
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# Default model to load on startup
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config model 'default'
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option enabled '1'
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option name 'tinyllama'
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option backend 'llama-cpp'
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# Model presets - GGUF format for llama-cpp backend
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config preset 'tinyllama'
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option name 'tinyllama'
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option url 'https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf'
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option size '669M'
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option type 'text-generation'
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option description 'TinyLlama 1.1B - Ultra-lightweight'
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config preset 'phi2'
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option name 'phi-2'
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option url 'https://huggingface.co/TheBloke/phi-2-GGUF/resolve/main/phi-2.Q4_K_M.gguf'
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option size '1.6G'
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option type 'text-generation'
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option description 'Microsoft Phi-2 - Compact and efficient'
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config preset 'mistral'
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option name 'mistral-7b'
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option url 'https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF/resolve/main/mistral-7b-instruct-v0.2.Q4_K_M.gguf'
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option size '4.1G'
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option type 'text-generation'
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option description 'Mistral 7B Instruct - High quality assistant'
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config preset 'gte_small'
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option name 'gte-small'
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option url 'https://huggingface.co/Supabase/gte-small/resolve/main/model.onnx'
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option size '67M'
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option type 'embeddings'
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option description 'GTE Small - Fast embeddings'
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