---
library_name: peft
license: other
tags:
- peft
- lora
- tinker
---

# EM code subliminal transfer checkpoints

Version `1.0.0`. This repository contains 34 PEFT LoRA inference
checkpoints.

## Base models

- `Qwen/Qwen3-30B-A3B-Instruct-2507`
- `nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16`

## Layout

```text
checkpoints/teacher/
checkpoints/qwen/<condition>/epoch-<1|2>/
checkpoints/nemotron/<condition>/epoch-<1|2>/
```

Core epoch checkpoints are steps 1,815 and 3,630. Control checkpoints use the
same exposure-matched steps. The dataset-generation teacher is GRPO step 525.

Each checkpoint directory contains `adapter_config.json`,
`adapter_model.safetensors`, and `metadata.json`. Exact provenance and SHA-256
values are in `manifest.json`.

## Loading

```python
from peft import PeftModel
from transformers import AutoModelForCausalLM

repo = "rustem17/em-code-subliminal-transfer-checkpoints"
subfolder = "checkpoints/qwen/insecure_all_comments_removed/epoch-2"
base = "Qwen/Qwen3-30B-A3B-Instruct-2507"

model = AutoModelForCausalLM.from_pretrained(base)
model = PeftModel.from_pretrained(model, repo, subfolder=subfolder)
```