2026年本地LLM推理:工具、硬件与开放权重模型的完整指南

📄 中文摘要

Ollama是运行本地LLM的最快途径,只需一条命令安装和一条命令运行。Mac Mini M4 Pro 48GB(约1999美元)被认为是性价比最高的硬件。Q4_K_M量化格式适合大多数用户使用。开放权重模型如GLM-5、MiniMax M2和Hermes 4在多种任务中表现出色。该指南涵盖了10种推理工具、各种量化格式、不同预算的硬件以及推动这一切的开发者。

📄 English Summary

Local LLM Inference in 2026: The Complete Guide to Tools, Hardware & Open-Weight Models

Ollama provides the fastest way to run local LLMs, requiring just one command for installation and another for execution. The Mac Mini M4 Pro 48GB, priced around $1,999, is identified as the best value hardware. The Q4_K_M quantization format is optimal for most users. Open-weight models such as GLM-5, MiniMax M2, and Hermes 4 demonstrate impressive capabilities across a wide range of tasks. This guide includes 10 inference tools, every quantization format, hardware options for all budgets, and the builders making these advancements possible.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等