32B competitive-coding fine-tune
According to the model card, OlympicCoder-32B is a 32B code model fine-tuned from Qwen2.5-Coder-32B-Instruct on decontaminated Codeforces data.
Open Source Model Profile · open-r1
OlympicCoder-32B is a 32.76B-parameter Qwen2 code fine-tune from open-r1 for competitive programming on decontaminated Codeforces data.
OlympicCoder-32B is published by open-r1 as a Qwen2 text-generation code model. The captured configuration identifies Qwen2ForCausalLM and Safetensors metadata reports 32,763,876,352 parameters. According to the model card, it was fine-tuned from Qwen2.5-Coder-32B-Instruct on decontaminated Codeforces data, and card data records apache-2.0.
According to the model card, OlympicCoder-32B is a 32B code model fine-tuned from Qwen2.5-Coder-32B-Instruct on decontaminated Codeforces data.
The model card describes LiveCodeBench v4_v5 with 268 Python problems, while noting the model trained only on C++ solutions and is partly out-of-domain.
According to the model card, the chat template prefills a <think> token for long chain-of-thought output, with documented sampling guidance.
Source: open-r1/OlympicCoder-32B
Captured: Unknown. Processed: 2026-09-07T19:35:27.712759+00:00.
Model Card for OlympicCoder-32B OlympicCoder-32B is a code model that achieves very strong performance on competitive coding benchmarks such as LiveCodeBench andthe 2024 International Olympiad in Informatics. Repository: https://github.com/huggingface/open-r1 Blog post: https://huggingface.co/blog/open-r1/update-3 Model description Model type: A 32B parameter model fine-tuned on a decontaminated version of the codeforces dataset. Language(s) (NLP): Primarily English License: apache-2.0 Finetuned from model: Qwen/Qwen2.5-Coder-32B-Instruct Evaluation We compare the performance of OlympicCoder models on two main benchmarks for competi…
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