開源AI模型Jan-v1正式發佈，基於阿里雲Qwen3-4B-Thinking微調，對標Perplexity Pro。僅4億參數卻實現91%的SimpleQA準確率，支持本地運行，在推理和工具使用方面表現突出，性能超越預期，引發開發者社區廣泛關注。
prithivMLmods
Jan-v1-AIO-GGUF包含兩款強大的語言模型：Jan-v1-4B和Jan-v1-edge。Jan-v1-4B基於Qwen3-4B-thinking架構，擁有40億參數，具備強大的智能推理、問題解決和工具使用能力，支持網頁搜索任務。Jan-v1-edge是輕量級智能模型，專為在設備上快速執行而設計，適用於資源受限環境。
mlx-community
Jan-v1-4B-4bit是基於Jan-v1-4B模型使用mlx-lm 0.26.3版本轉換的4位量化版本，專為Apple MLX框架優化，提供高效的大語言模型推理能力。
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