OpenMOSS-Team/Qwen3-32B-ABC

💻 Code&nbsp&nbsp | &nbsp&nbsp 📑 Paper&nbsp&nbsp | &nbsp&nbsp 📝 Blog&nbsp&nbsp | &nbsp&nbsp 🤗 Data Qwen3-32B-ABC is a supervised fine-tuned (SFT) variant of Qwen/Qwen3-32B, trained for agentic backend coding and tool-using / instruction-following behaviors. — Model name: Qwen3-32B-ABC — Base model: Qwen/Qwen3-32B — Model type: Causal Language Model (decoder-only) — Training method: Agentic Supervised Fine-Tuning (SFT) Please refer to the dataset card for detailed documentation, licensing, and usage constraints. Qwen3-32B-ABC is intended for: — Agent-style instruction following for backend development tasks — Code editing / patch generation in real repositories — Command-line oriented debugging and step-by-step problem solving — Research on automated software engineering and agent evaluation — Base model: Qwen/Qwen3-32B — Training dataset: nex-agi/agent-sft

Модальности:
Генерация текста

Области применения:
Генерация кода Диалог / чат Агенты

Задача: Генерация текста
Автор: OpenMOSS-Team
Теги: qwen3, qwen, causal-lm, instruction-tuning, sft, agents, code, conversational
Лайков: 3  |  Загрузок: 27

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