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Jazhyc
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Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
Jazhyc
Model Tree
Qwen/Qwen3.5-9B
Input Modalities
Output Modalities
Supported Functionality
Fresh rank-16, alpha-32 Qwen3.5-9B LoRA trained for one epoch on the 2,880
varied-deception rows using only binary soft-target BCE. Targets are the direct
Prediction: probabilities of a Qwen3.5-27B Truth Value Guard teacher. Training
used AdamW at 5e-5 with effective batch size 32 and did not use hard labels,
GPT-OSS targets, or teacher/student reasoning traces.
Phoenix 5.0 renders observable conversation and output only, disables Qwen
thinking, and normalizes the next-token logits for literal 0|1 directly after
Prediction:. The adapter is intended for the matching competition notebook
and is not a general-purpose truth classifier.
The adapter_model.safetensors SHA-256 is
c096e5839fe96fb7409fe759a79bc0989ef1efe5aee010b83c3157d38586a75f.
The deployed Hugging Face repository is
Jazhyc/aletheias-phoenix-v5-qwen27-tvg-soft-r16; the initial upload commit is
c5568edfe22fa335cbe31726ea144669e8b54314.