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lulululuyi/R1-Qwen-7B-R_HORIZON_Compose_2
R1-Qwen-7B-R_HORIZON_Compose_2 is a machine learning model from lulululuyi. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
R1-Qwen-7B-RHORIZONCompose2 is a reasoning model used in the paper:
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From the Hugging Face model README
R1-Qwen-7B-R_HORIZON_Compose_2 is a reasoning model used in the paper:
“R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?”
This model corresponds to the Naive Training Data (n = 2) configuration reported in Table 1 of the paper.
The model is based on R1-distill-Qwen-7B and is trained on naively composed reasoning queries with composition depth n = 2. Each training sample is constructed by composing four reasoning queries into a single example, following the naive training data strategy introduced in the R-Horizon study.