REAX SN92 demand_forecasting specialist

LoRA fine-tune (merged, bf16) of alibiserikbay/JevK5-9B (revision d6521a18a86999190e9d775c915af3d6d6772fc4) for the SN92 REAX demand_forecasting use-case track, trained in the validator's fixed prompt (reax-decide-prompt/1) and single-token option-letter readout.

Training data:

  • decisionmodels/sn92-specialists (CC-BY-4.0): the demand_forecasting train split and the train/dev splits of other categories. The demand_forecasting dev split was not used for training (evaluation only).
  • Synthetic demand-forecasting items from our own rule-based generators (exact, rule-computed labels).
  • Public typed-decision data under Apache-2.0: totum-labs/plumb-data (kev_hard train) and crh225/plumb-decisions (train).
Downloads last month
-
Safetensors
Model size
9B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for whynotBeTop/sn92-df-dm9b

Finetuned
Qwen/Qwen3.5-9B
Finetuned
(2)
this model
Merges
1 model