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{
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      "description": "Balanced vision + chat brain. Sees images, fully offline. Needs a 6 GB+ phone. License: Qwen.",
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      "files": [
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      "id": "vlm-gemma4-e4b",
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      "name": "Vision β€” Gemma 4 E4B",
      "description": "Google's newest high-quality vision + chat brain. Larger and slower β€” needs an 8 GB+ phone. License: Gemma.",
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      "minRamMb": 8000,
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    },
    {
      "id": "chat-llama3.2-3b",
      "type": "chat",
      "name": "Chat β€” Llama 3.2 3B",
      "description": "Well-rounded text-only chat brain. Needs a 6 GB+ phone. License: Llama 3.2.",
      "quant": "Q4_K_M",
      "minRamMb": 6000,
      "url": "https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF/resolve/main/Llama-3.2-3B-Instruct-Q4_K_M.gguf",
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    {
      "id": "root-qwen2.5-1.5b",
      "type": "agent",
      "name": "Root Agent β€” Qwen2.5 1.5B",
      "description": "Recommended Root brain for background jobs (memory, dossier, App Guide). Small & fast. Apache-2.0.",
      "quant": "Q4_K_M",
      "minRamMb": 3000,
      "url": "https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct-GGUF/resolve/main/qwen2.5-1.5b-instruct-q4_k_m.gguf",
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      "id": "embed-minilm-l6-v2",
      "type": "embed",
      "name": "Semantic Memory β€” all-MiniLM-L6-v2",
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      "url": "https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/resolve/main/all-MiniLM-L6-v2-ggml-model-f16.gguf",
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      "id": "asr-whisper-base",
      "type": "asr",
      "name": "Speech-to-Text β€” Whisper Base",
      "description": "On-device voice transcription for calls β€” fully offline, multilingual. Recommended balance of accuracy and speed. Runs on any phone. MIT.",
      "quant": "ggml",
      "minRamMb": 1000,
      "url": "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin",
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      "name": "Speech-to-Text β€” Whisper Tiny",
      "description": "Smallest on-device voice transcription for calls β€” fully offline, multilingual. Fastest, slightly lower accuracy. Runs on any phone. MIT.",
      "quant": "ggml",
      "minRamMb": 1000,
      "url": "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin",
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      "name": "Speech-to-Text β€” Whisper Turbo",
      "description": "Most accurate on-device voice transcription for calls β€” fully offline, multilingual. Larger download; best on a 6 GB+ phone. MIT.",
      "quant": "ggml q5_0",
      "minRamMb": 3000,
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    {
      "id": "tts-en-amy",
      "type": "tts",
      "name": "Voice β€” English (Amy)",
      "description": "Lets your characters speak their replies aloud in calls β€” fully offline, no API key needed. Runs on any phone.",
      "minRamMb": 1000,
      "url": "https://huggingface.co/Mr-J-369/Fancy-AI/resolve/main/tts-en-amy-low.zip",
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}