> [!TIP] > This model is reproducible! > > See the README in the reproduce directory for more information. 🚨 This model was not trained on tool-calling or agent-based programming data. We therefore do not recommend using it for tasks that involve function calling, API orchestration, or autonomous coding agents. For programming tasks, we recommend using this model on competitive programming problems (e.g., LeetCode-style). GitHub | ModelScope | Technical Report VibeThinker-3B is a further exploration of the VibeThinker series at the 3B-parameter scale, focusing on challenging reasoning tasks with clear verification signals, such as mathematics, coding, and STEM. By systematically optimizing the Spectrum-to-Signal Principle (SSP) post-training pipeline introduced in VibeThinker-1.5B, VibeThinker-3B achieves strong performance on AIME, HMMT, IMO-AnswerBench, LiveCodeBench, and recent LeetCode contests, reaching the performance range of top-tier frontier reasoning models, including Qwen3.6 Plus, Gemini 3 Pro, GLM-5, and Kimi K2.5, on verifiable reasoning benchmarks. Motivated by these observations, we propose the Parametric…
Модальности:
Генерация текста
Области применения:
Генерация кода Математика Логика и рассуждение Диалог / чат
Задача: Генерация текста
Автор: zkxxxx
Теги: gguf, qwen2, math, code, reasoning, gpqa, instruction-following, heretic
Лайков: 4 | Загрузок: 356
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
