Forge-Qwen2.5-0.5B-s1

This model is initialized from the pre-trained [[Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B)] and fine-tuned on the AL-GR/AL-GR-v1 dataset using the FORGE framework for 1 epoch.

Evaluation Results on AL-GR/AL-GR-v1

Model	HR@20	HR@100	HR@500	HR@1000
Forge-Qwen 2.5-0.5B-Base-s1	0.0506	0.1277	0.2602	0.3068
Forge-T5-Base-s1	0.0284	0.0689	0.1372	0.1557

Note: HR@K denotes Hit Rate at K — the proportion of test queries for which the correct answer appears in the top-K retrieved/generated results.

Usage

1. Download the Model

You can download this model locally using the huggingface_hub library:

import os
os.environ["HF_ENDPOINT"] = "https://hf-mirror.com" # Optional: use mirror for faster download in some regions
os.environ["KMP_DUPLICATE_LIB_OK"] = "True"

from huggingface_hub import snapshot_download

snapshot_download(
repo_id='AL-GR/Forge-Qwen2.5-0.5B-s1',
local_dir='{YOUR_LOCAL_DIR}', # Replace with your desired local path
local_dir_use_symlinks=False,
)

---

For more details about the training setup, dataset, or evaluation protocol, please refer to the FORGE framework repository.