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pipeline_tag: text-generation
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## Overview
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QwQ‑32B‑Distill‑Qwen‑1.5B‑Alpha is a groundbreaking language model built on top of the DeepSeek‑R1‑Distill‑Qwen‑1.5B base. Developed entirely by a solo innovator—with valuable inspiration from Berkeley’s research—the model employs a novel reinforcement learning distillation framework that dramatically enhances performance while keeping training data requirements and compute costs to a minimum. Despite having only 1.5B parameters, the model achieves a striking 47.18 MMLU score and outperforms prior baselines on multiple math and reasoning benchmarks.
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pipeline_tag: text-generation
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<div align="center">
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<span style="font-family: default; font-size: 1.5em;">QwQ‑32B‑Distill‑Qwen‑1.5B‑Alpha</span>
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- Solo Innovation: Breaking Performance Barriers with Minimal Resources -
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<div><b>Powered by personal research with insights from Berkeley</b></div>
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</div>
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</div>
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## Overview
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QwQ‑32B‑Distill‑Qwen‑1.5B‑Alpha is a groundbreaking language model built on top of the DeepSeek‑R1‑Distill‑Qwen‑1.5B base. Developed entirely by a solo innovator—with valuable inspiration from Berkeley’s research—the model employs a novel reinforcement learning distillation framework that dramatically enhances performance while keeping training data requirements and compute costs to a minimum. Despite having only 1.5B parameters, the model achieves a striking 47.18 MMLU score and outperforms prior baselines on multiple math and reasoning benchmarks.
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