Instructions to use Anonymous5345345/anonymous-chainer-grpo-epoch2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Anonymous5345345/anonymous-chainer-grpo-epoch2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "Anonymous5345345/anonymous-chainer-grpo-epoch2") - Notebooks
- Google Colab
- Kaggle
| base_model: Qwen/Qwen3-4B-Instruct-2507 | |
| library_name: peft | |
| tags: | |
| - lora | |
| - qwen3 | |
| - grpo | |
| - anonymous-submission | |
| # Anonymous Chainer GRPO Checkpoint 2 | |
| This repository contains a LoRA adapter checkpoint for the Chainer policy after the later GRPO stage checkpoint used in the paper workflow. | |
| ## Base model | |
| - `Qwen/Qwen3-4B-Instruct-2507` | |
| ## Artifact type | |
| - PEFT LoRA adapter | |
| - Inference-only checkpoint export | |
| ## Notes | |
| - This repository is provided as anonymous supplementary material for peer review. | |
| - The checkpoint is released for verification and follow-up research use. | |
| - The repository intentionally omits author-identifying metadata. | |
| ## Loading example | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| from peft import PeftModel | |
| base_model_id = "Qwen/Qwen3-4B-Instruct-2507" | |
| adapter_repo_id = "Anonymous5345345/anonymous-chainer-grpo-epoch2" | |
| tokenizer = AutoTokenizer.from_pretrained(base_model_id) | |
| base_model = AutoModelForCausalLM.from_pretrained(base_model_id) | |
| model = PeftModel.from_pretrained(base_model, adapter_repo_id) | |
| ``` | |