106 lines
3.6 KiB
JSON
106 lines
3.6 KiB
JSON
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{
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"name": "selora-ai-local",
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"version": "0.4.8",
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"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.",
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"base_model": {
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"id": "Qwen/Qwen3-1.7B",
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"format": "gguf",
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"dtype": "Q6_K",
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"filename": "qwen3_17b_base.Q6_K.gguf",
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"size_bytes": 1673006880,
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"sha256": "a00bbdb411872149d73e1a0683b9b8a9f13cf74f98ba70ff8e8e430d9a093179"
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},
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"loras": [
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{
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"slot": 0,
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"name": "command",
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"filename": "selora-command.f16.gguf",
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"size_bytes": 19938528,
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"sha256": "de8871f56d04cdfb0caf634e843f5d1ce9d7eead3b76ccd68b9813499035eba1"
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},
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{
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"slot": 1,
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"name": "automation",
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"filename": "selora-automation.f16.gguf",
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"size_bytes": 37374880,
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"sha256": "e6d8b3b9cd7dc05b3de017cb43915586f15bca797985b50eb112ba585e2e25c9"
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},
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{
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"slot": 2,
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"name": "answer",
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"filename": "selora-answer.f16.gguf",
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"size_bytes": 14957792,
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"sha256": "ab3342bb35c1c97d995121b3548eb8c8406a975d293c9f5ea4cdc5974fdd16a4"
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},
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{
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"slot": 3,
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"name": "clarification",
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"filename": "selora-clarification.f16.gguf",
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"size_bytes": 9977056,
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"sha256": "16d2a2f852ca6b4e73f03caa235a52dcd49804c8a3acae5420914dc7a878d610"
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},
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{
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"slot": 4,
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"name": "utilities",
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"filename": "selora-utilities.f16.gguf",
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"size_bytes": 19938528,
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"sha256": "d1e47028cbc3ad81252853bc363921764456d50a1329d41e4ded3f2b7a9b3af9"
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}
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],
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"system_prompts": {
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"command": {
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"filename": "command_system_prompt.txt",
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"size_bytes": 1071,
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"sha256": "9921c6fef09c6ebad4a2ed4fad1dbe7e76efe0bfe4e532bf7c7fe096864de6a4"
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},
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"automation": {
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"filename": "automation_system_prompt.txt",
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"size_bytes": 2711,
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"sha256": "04e2d8231e91d00afba0c50964a0647b036303bd4c4dbc9e7c58dd3434d2b682"
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},
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"answer": {
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"filename": "answer_system_prompt.txt",
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"size_bytes": 856,
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"sha256": "ec4c2dfb6bcd378e65f891a15d9066d9f0c295a1ac3fc9dbc01cb01a9c0d6cb2"
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},
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"clarification": {
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"filename": "clarification_system_prompt.txt",
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"size_bytes": 683,
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"sha256": "c6833a17147574946a7176447a88d65e687bc393e62db1aaa89c57d1fdf9a3ac"
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},
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"utilities": {
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"filename": "utilities_system_prompt.txt",
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"size_bytes": 1588,
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"sha256": "ae1155b644b529ba63d9441b2abc347fd6f4e4b3d4bbb25b323509707df90d36"
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}
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},
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"runtime": {
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"cache_prompt": true,
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"ctx_size": 4096
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},
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"training": {
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"framework": "mlx-lm",
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"base_model_repo": "Qwen/Qwen3-1.7B",
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"optimizer": "adam",
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"learning_rate": 0.0001,
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"batch_size": 4,
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"max_seq_length": 4096,
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"english_only": true,
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"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.",
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"iterations_per_specialist": {
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"command": 750,
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"answer": 600,
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"clarification": 450,
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"automation": 1050,
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"utilities": 600
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},
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"examples_per_specialist": {
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"command": 8800,
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"answer": 6600,
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"clarification": 3300,
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"automation": 6600,
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"utilities": 6600
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}
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}
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}
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