寻找16GB内存/8GB显存用户——你们在用啥？Omnicoder 9b还是别的？
英文摘要
A user with a laptop having 16GB RAM and 8GB VRAM (RTX 4060 mobile) asks for recommendations on local LLMs for agentic coding. They note that larger models like Qwen 3.6 might not fit due to context window requirements. They specifically mention Omnicoder 9b as a possible option. The post seeks community advice on lightweight coding models.
中文摘要
一位拥有16GB RAM和8GB显存（RTX 4060移动版）笔记本电脑的用户，寻求本地大模型用于代理编程的建议。他们指出Qwen 3.6等较大模型可能因上下文窗口要求而无法使用。用户特别提到了Omnicoder 9b作为可能的选择。该帖子旨在向社区寻求轻量级编程模型的建议。
关键要点
Hardware: 16GB RAM, 8GB VRAM (RTX 4060 mobile)
硬件：16GB内存，8GB显存（RTX 4060移动版）
Use case: agentic coding with local LLMs
用例：使用本地大模型进行代理编程
Large models like Qwen 3.6 are considered unsuitable due to context window limits
Qwen 3.6等大模型因上下文窗口限制被认为不合适
Omnicoder 9b is mentioned as a candidate
提到了Omnicoder 9b作为候选模型
Post seeks community recommendations for light coding models
帖子寻求社区对轻量编程模型的推荐