A QLoRA adapter for OpenAI's gpt-oss-20b that turns it into KinShield's phone-call evidence detector. KinShield is an entry in the AWS "Zero to Shipped" hackathon. The model reads a call transcript and returns strict JSON with: - a risk level (LOW / MEDIUM / HIGH) and a score - every warning sign, with the exact quoted line, a timestamp, one of 7 fixed signals and a weight It answers directly on the harmony final channel, without writing out reasoning first. Status: this is a research result. The live KinShield app still uses the stock gpt-oss-20b on Amazon Bedrock. This adapter is not hosted anywhere public. The adapter matches gpt-oss-120b, a model about 6× larger, and edges out the stock…
Independent publisher
Solomonwilsonr
Solomonwilsonr
Models in Library2
Datasets in Library0
Models on Hugging Face2
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Published tasks: Text classification, Text generation.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
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Models
A 22M-parameter phone-call scam classifier (MiniLM-L6, int8 ONNX, 22.9 MB) built for KinShield, an entry in the AWS "Zero to Shipped" hackathon. It reads a call transcript and returns a score from 0 to 1 for each of KinShield's 7 warning signs, plus a HIGH-risk probability. It runs on CPU in about 40–80 ms. What's new in v3: v3 was distilled from Solomonwilsonr/kinshield-gpt-oss-20b-lora, our fine-tuned gpt-oss-20b. v2 was distilled from the stock gpt-oss-20b. Both runs use int8 ONNX. v3 still misses scam016 (a Medicare card scam) and scam019 (a Hinglish UPI "beta in trouble" call), which it rates LOW, and rates scam014 MEDIUM. impersonation, emergency, secrecy, financialrequest…