开源AI模型Jan-v1正式发布，基于阿里云Qwen3-4B-Thinking微调，对标Perplexity Pro。仅4亿参数却实现91%的SimpleQA准确率，支持本地运行，在推理和工具使用方面表现突出，性能超越预期，引发开发者社区广泛关注。
prithivMLmods
Jan-v1-AIO-GGUF包含两款强大的语言模型：Jan-v1-4B和Jan-v1-edge。Jan-v1-4B基于Qwen3-4B-thinking架构，拥有40亿参数，具备强大的智能推理、问题解决和工具使用能力，支持网页搜索任务。Jan-v1-edge是轻量级智能模型，专为在设备上快速执行而设计，适用于资源受限环境。
mlx-community
Jan-v1-4B-4bit是基于Jan-v1-4B模型使用mlx-lm 0.26.3版本转换的4位量化版本，专为Apple MLX框架优化，提供高效的大语言模型推理能力。
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