Chat template, settings and head of
autotrust/JEV-9B
for
pipeline("decision")
(
transformers#49566
). The backbone is the base model at the root of the original with the System 1 LoRA of the original (
adapter_model.safetensors
), loaded by
from_pretrained
.
from transformers import pipeline
# the LoRA at the root makes `pipeline` load its base model, so the decision files are passed explicitly
decide = pipeline("decision", model="ArthurZ/JEV-9B", decision_config="ArthurZ/JEV-9B")
decide({"state": "I was charged twice and want a refund.", "questions": {"refund": {"type": "noul", "instructions": "Is a refund requested?"}}})
decision_template.jinja
: the chat template;
<|mark|>
marks the positions the head reads.
decision_config.json
: temperatures and option order.
decision_head/
:
JevDecisionHead
, converted from
head.safetensors
of the original.
decision_test.json
: a request and the input ids that the original code builds for it, used by the tests.
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