crystalballAI/krystalmind-cortex

KrystalMind Cortex (0.6B JSON Planner)

Structured JSON action planner for the L4 intelligence pipeline. Routes divergence signals to appropriate data sources.

Architecture

• Base: Qwen3-0.6B-Instruct (28 layers, d_model=1024, 16Q/8KV heads)
• LoRA SFT: rank=16, scale=1.0, 1000 iters on routing_sft_v1 (14,836 examples)
• Output: Structured JSON plan (db_queries, ecs_metrics, ssm_context, simulation)
• Decoding: Greedy (T=0.0) with JSON-aware brace-depth stop

Files

• krystalball_cortex.kb — Baked production model (571 MB, FP32)
• fused/model.safetensors — Full fused Qwen3-0.6B + LoRA (1.1 GB)
• adapters/adapters.safetensors — LoRA adapters only (10 MB)
• tokenizer.json — Qwen3 tokenizer

Performance

• INT8: ~86 tok/s, BF16: ~53 tok/s
• Typical plan: 150 tokens greedy @ ~1.75s
• 3-tier parse robustness: Direct JSON → repair → deterministic fallback