{
  "name": "selora-ai-local",
  "version": "0.4.8",
  "description": "Selora AI v0.4.8 \u2014 Qwen3-1.7B Q6_K base + 5 LoRA specialists with slim action-then-confirm output schemas. Adds a utilities specialist (slot 4) alongside command, automation, answer, and clarification. Multi-state entity context (per-entity attribute tails in AVAILABLE ENTITIES) for richer single-turn grounding. Inference: cache_prompt enabled to amortize system-prompt KV cache across requests.",
  "base_model": {
    "id": "Qwen/Qwen3-1.7B",
    "format": "gguf",
    "dtype": "Q6_K",
    "filename": "qwen3_17b_base.Q6_K.gguf",
    "size_bytes": 1673006880,
    "sha256": "a00bbdb411872149d73e1a0683b9b8a9f13cf74f98ba70ff8e8e430d9a093179"
  },
  "loras": [
    {
      "slot": 0,
      "name": "command",
      "filename": "selora-command.f16.gguf",
      "size_bytes": 19938528,
      "sha256": "de8871f56d04cdfb0caf634e843f5d1ce9d7eead3b76ccd68b9813499035eba1"
    },
    {
      "slot": 1,
      "name": "automation",
      "filename": "selora-automation.f16.gguf",
      "size_bytes": 37374880,
      "sha256": "e6d8b3b9cd7dc05b3de017cb43915586f15bca797985b50eb112ba585e2e25c9"
    },
    {
      "slot": 2,
      "name": "answer",
      "filename": "selora-answer.f16.gguf",
      "size_bytes": 14957792,
      "sha256": "ab3342bb35c1c97d995121b3548eb8c8406a975d293c9f5ea4cdc5974fdd16a4"
    },
    {
      "slot": 3,
      "name": "clarification",
      "filename": "selora-clarification.f16.gguf",
      "size_bytes": 9977056,
      "sha256": "16d2a2f852ca6b4e73f03caa235a52dcd49804c8a3acae5420914dc7a878d610"
    },
    {
      "slot": 4,
      "name": "utilities",
      "filename": "selora-utilities.f16.gguf",
      "size_bytes": 19938528,
      "sha256": "d1e47028cbc3ad81252853bc363921764456d50a1329d41e4ded3f2b7a9b3af9"
    }
  ],
  "system_prompts": {
    "command": {
      "filename": "command_system_prompt.txt",
      "size_bytes": 1071,
      "sha256": "9921c6fef09c6ebad4a2ed4fad1dbe7e76efe0bfe4e532bf7c7fe096864de6a4"
    },
    "automation": {
      "filename": "automation_system_prompt.txt",
      "size_bytes": 2711,
      "sha256": "04e2d8231e91d00afba0c50964a0647b036303bd4c4dbc9e7c58dd3434d2b682"
    },
    "answer": {
      "filename": "answer_system_prompt.txt",
      "size_bytes": 856,
      "sha256": "ec4c2dfb6bcd378e65f891a15d9066d9f0c295a1ac3fc9dbc01cb01a9c0d6cb2"
    },
    "clarification": {
      "filename": "clarification_system_prompt.txt",
      "size_bytes": 683,
      "sha256": "c6833a17147574946a7176447a88d65e687bc393e62db1aaa89c57d1fdf9a3ac"
    },
    "utilities": {
      "filename": "utilities_system_prompt.txt",
      "size_bytes": 1588,
      "sha256": "ae1155b644b529ba63d9441b2abc347fd6f4e4b3d4bbb25b323509707df90d36"
    }
  },
  "runtime": {
    "cache_prompt": true,
    "ctx_size": 4096
  },
  "training": {
    "framework": "mlx-lm",
    "base_model_repo": "Qwen/Qwen3-1.7B",
    "optimizer": "adam",
    "learning_rate": 0.0001,
    "batch_size": 4,
    "max_seq_length": 4096,
    "english_only": true,
    "data_source": "synthetic \u2014 slim schemas in slim_schemas.md, generated by scripts/gen_{intent}.py from 10 curated home specs + procedural variants; service_matrix.py covers 49 (domain, service) pairs. tools.home_specs.diversify_states() injects multi-state attributes per training example.",
    "iterations_per_specialist": {
      "command": 750,
      "answer": 600,
      "clarification": 450,
      "automation": 1050,
      "utilities": 600
    },
    "examples_per_specialist": {
      "command": 8800,
      "answer": 6600,
      "clarification": 3300,
      "automation": 6600,
      "utilities": 6600
    }
  }
}