Instructions to use Jazhyc/aletheias-phoenix-wright-v3.1-rank24-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jazhyc/aletheias-phoenix-wright-v3.1-rank24-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "Jazhyc/aletheias-phoenix-wright-v3.1-rank24-adapter") - Notebooks
- Google Colab
- Kaggle
license: mit
base_model: Qwen/Qwen3.5-9B
library_name: peft
pipeline_tag: text-generation
tags:
- aletheias-quest
- deception-detection
- lora
- qwen3.5
Phoenix Wright 3.1 rank-24 deception adapter
This is the rank-24, alpha-48 Qwen/Qwen3.5-9B LoRA used by the Phoenix Wright
3.1 Aletheia's Quest submission. It was trained on all 2,877 parsed,
label-consistent varied-deception privileged reasoning summaries for one epoch
with AdamW at 5e-5 and effective batch size 32. It targets the attention and
MLP projection modules and emits a concise evidence summary followed by
Prediction:0 or Prediction:1.
Matched local validation against the rank-16 predecessor showed a small gain, but all available varied-deception training rows are Qwen-family. This adapter should therefore not be treated as evidence of cross-family generalization or as a general-purpose truth classifier.
The model is published for reproducibility of the matching competition notebook. License: MIT.