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weizhepei/Rank5-Reconstruction-Qwen2.5-Math-1.5B
Rank5-Reconstruction-Qwen2.5-Math-1.5B is a machine learning model from weizhepei. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Oracle rank-5 reconstruction of the RLVR weight-delta trajectory: thetarecon = theta0 + V5 V5^T (thetastep - theta0), where V5 are the top-5 right singular vectors of the full 500-step observed delta trajectory (SVD,…
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Updated Jul 28, 2026
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From the Hugging Face model README
Oracle rank-5 reconstruction of the RLVR weight-delta trajectory:
theta_recon = theta_0 + V_5 V_5^T (theta_step - theta_0), where V_5 are the top-5
right singular vectors of the full 500-step observed delta trajectory (SVD, --mode reconstruct --rank 5).
Subfolders step100/ .. step500/ = reconstruction of the real RLVR checkpoint at that step.
Base model = Qwen/Qwen2.5-Math-1.5B.
Greedy MATH, temperature=0.0, top_p=0.95, top_k=-1, num_generation=1, max_tokens=4096,
dataset TianHongZXY/MATH split test (5000 problems). Accuracy = mean of the boolean label field.
Reference rows (same config, already graded):
Expected rank-5 ~= rank-1 (>=, within ~0.5pp) -> confirms components 2-5 add ~nothing with oracle coefficients.
Load: AutoModelForCausalLM.from_pretrained("weizhepei/Rank5-Reconstruction-Qwen2.5-Math-1.5B", subfolder="step100")