Local LLM vs API: How to Decide Based on Usage, Privacy and Budget
Local LLM vs API: decide on usage, privacy, model quality, budget and upkeep, with a cost method using hypothetical numbers and a hybrid local-plus-cloud plan.
Local LLM vs API: decide on usage, privacy, model quality, budget and upkeep, with a cost method using hypothetical numbers and a hybrid local-plus-cloud plan.
本地部署还是 API?从用量、隐私合规、模型能力、预算和运维五个维度做决定,附成本算法示例和本地加云端的混合方案。
Best local LLM for your hardware: picks by 8GB, 12GB, 24GB and 32GB VRAM and by task, covering Qwen, Gemma and gpt-oss, with file sizes and VRAM estimates.
本地大模型推荐:按 8GB、12GB、24GB、32GB 显存和聊天、编程、推理、看图等用途,给出 Qwen、Gemma、gpt-oss 等选择,附文件大小与显存估算。