Gsj49/adaptiveG

Adaptive group-size policy checkpoints

Final fixed-group and adaptive policy checkpoints for GSM8K, mathematical reasoning and code generation. This is a multi-model archive: choose a model subdirectory from checkpoints.json, rather than loading the repository root.

Family	Models	Final step
GSM8K / Qwen2.5-1.5B-Instruct	21	500
Math / Qwen3-8B-SFT496	6	300
Math / Qwen2.5-Math-7B	6	500
Coding / DeepSeek-Coder-1.3B-Base	6	500

The manifest lists planned models; a model is available after its folder has been committed. Historical hybrid runs retain their original configuration name. Base-model licenses remain applicable; no optimizer states or training datasets are published here.

from pathlib import Path
from huggingface_hub import snapshot_download
from transformers import AutoModelForCausalLM, AutoTokenizer
subdir = "models/gsm8k/fixed2/seed42/step500"
root = snapshot_download("Gsj49/adaptiveG", allow_patterns=[subdir + "/*"])
folder = Path(root) / subdir
tokenizer = AutoTokenizer.from_pretrained(folder)
model = AutoModelForCausalLM.from_pretrained(folder)