bhatraasim/math_reasoning_moel_qwen

AI model by bhatraasim

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This repository contains two LoRA adapters for Qwen/Qwen2.5-0.5B-Instruct, trained on GSM8K math problems: These are adapter weights, not standalone base models. The base model is downloaded from Hugging Face at load time. Both adapters are configured to produce reasoning in ... and a final answer in .... Install torch, transformers, and peft, then choose sft or grpo below: The base model is Qwen2.5-0.5B-Instruct. Training used the GSM8K main training split. SFT used teacher-generated, answer-verified traces; GRPO continued from the SFT adapter and used correctness and output-format rewards. The tokenizer files and chat template are included with each adapter. Optimizer states and intermediate checkpoints are not included. The recorded SFT evaluation on the 1,319-question GSM8K test split was 42.15% strict accuracy and 42.23% flexible accuracy. The experiment's evaluation summary also reports 44.96% strict and 45.11% flexible accuracy for checkpoint-200tagged. The GRPO adapter in this repository is the…

bhatraasim/math_reasoning_moel_qwen on Hugging Face A short preview, not the full document.

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Model overview

bhatraasim/math_reasoning_moel_qwen is a task-unspecified model repository published by bhatraasim on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-16T06:25:30.000Z
Last modified: 2026-10-16T06:31:01.000Z

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