decider_config.json

{
 "temperature": 1.145,
 "temperature_by_type": {
  "choice": 1.164,
  "noul": 1.624,
  "score": 1.124
 },
 "neutralize_none": false,
 "version": "2b-v11-fp8-llmtech",
 "base": "Mapika/decider-2b v10 + LoRA (merged); v10 is Qwen/Qwen3.5-2B-Base + supervised stages v1 to v8 + calibration-aware RL",
 "layout": "plain",
 "max_options": 255,
 "max_state_tokens": 32768,
 "schema_first": false,
 "schema_first_trained": false,
 "isolated_levels": true,
 "release_date": "2026-09-24",
 "requires": "decider-ai>=1.4.0 for temperature_by_type; older versions serve every answer at temperature",
 "parent": "decider-2b v10 (Mapika/decider-2b, tag v10)",
 "stage": "decider-2b v10 + LoRA rank 64 (alpha 128) on attention and MLP, LR 1e-4, 2 epochs (1,676 steps of 65,536 tokens) over 42,749 rows in the plain state-first layout (the same hard-decision rows as decider-4b v2.1 plus a broad replay of the public decision mixture), with the replay rows trained toward v10's own answer distribution (KL to v10) instead of their labels, merged into the bf16 weights; no new RL stage; temperature fitted by NLL on 61 in-task regression tasks; temperature_by_type fitted with decider.calibrate.fit_by_type on the same regression rows plus our own validation rows",
 "quantization": "FP8_DYNAMIC (llm-compressor 0.14.0, compressed-tensors 0.19.0): FP8 E4M3 weights per output channel, FP8 activations scaled per token at run time, no calibration data; reference: bf16 Mapika/decider-2b v11"
}