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

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.

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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)
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