---
base_model: Qwen/Qwen3-14B
pipeline_tag: text-generation
library_name: transformers
tags:
- imprint-reader
- weight-update-readout
- mount-and-read-tuning
- arxiv:2609.35261
datasets:
- quantumfr/imprint-reader-dataset
---

# Imprint Reader v1.0-0928

[![GitHub](https://img.shields.io/badge/Readout--Vibe--Alignment-000000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/biuboomc/Readout-Vibe-Alignment)

This is the step-2,800 Imprint Reader checkpoint used in the
Semantic Mount-and-Read Tuning (SMaRT) study. It is based on Qwen3-14B and was trained to
describe factual knowledge or behavioral tendencies associated with frozen
weight updates mounted in aligned parameter coordinates.

The model is described in the paper [Imprint Reader: From Weight-Update Readout to Behavioral Intervention](https://huggingface.co/papers/2609.35261).

## Intended use

The model is a research artifact for studying weight-update readout. A
readout experiment must supply a candidate update and mount it using the
Reader runtime; the unmounted model is not given an update to inspect.
This repository contains the merged Reader weights and tokenizer, not the
item-specific updates used during training or MetaEdit intervention assets.

The Reader was trained on 17,184 balanced knowledge and behavior items with
anchor-free meta-queries. The final training and held-out test inputs, data
schema, and Reader runtime are in the companion repository:
[Readout-Vibe-Alignment](https://github.com/biuboomc/Readout-Vibe-Alignment).

## Limitations

Open-ended readout is not reliable enough for autonomous auditing or safety
decisions. A lower target-description loss is a learned compatibility signal,
not a guarantee that an update causes the described behavior in the base
model. The checkpoint and data should be used for research evaluation.