Instructions to use Anonymous5345345/anonymous-chainer-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Anonymous5345345/anonymous-chainer-sft 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-sft") - Notebooks
- Google Colab
- Kaggle
Anonymous Chainer SFT Checkpoint
This repository contains a LoRA adapter checkpoint for the Chainer policy after supervised fine-tuning.
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
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model_id = "Qwen/Qwen3-4B-Instruct-2507"
adapter_repo_id = "Anonymous5345345/anonymous-chainer-sft"
tokenizer = AutoTokenizer.from_pretrained(base_model_id)
base_model = AutoModelForCausalLM.from_pretrained(base_model_id)
model = PeftModel.from_pretrained(base_model, adapter_repo_id)
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Qwen/Qwen3-4B-Instruct-2507