File size: 1,143 Bytes
ea509f1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | ---
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)
```
|