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Table · dataset · 2025

amd/ReasonLite-Dataset

Listed in Hugging Face Datasets

Description

GitHub | Dataset | Blog ReasonLite is an ultra-lightweight math reasoning model. With only 0.6B parameters, it leverages high-quality data distillation to achieve performance comparable to models over 10× its size, such as Qwen3-8B, reaching 75.2 on AIME24 and extending the scaling law of small models. 🔥 Best-performing 0.6B math reasoning model 🔓 Fully open-source — weights, scripts, datasets, synthesis pipeline⚙️ Distilled in two stages to balance efficiency and high… See the full description on the dataset page: huggingface.co/datasets/amd/ReasonLite-Dataset.

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Catalogue records · 1

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsamd/ReasonLite-Dataset15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
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concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0