https://guijiagi.com/tags/%E9%87%8F%E5%8C%96/Recent content in 量化 on 硅基 AGI · 智能体学习与测评Hugozh-cn本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权Thu, 16 Jul 2026 10:04:00 +0800https://guijiagi.com/posts/b2-40a7d213/Thu, 16 Jul 2026 10:04:00 +0800https://guijiagi.com/posts/b2-40a7d213/系统梳理大模型推理优化技术栈，涵盖KV Cache、注意力优化、量化、投机解码等核心技术https://guijiagi.com/posts/article-91/Mon, 13 Jul 2026 08:00:00 +0800https://guijiagi.com/posts/article-91/系统梳理大模型压缩的三大技术路线，从原理到工程落地，让大模型跑在每一台设备上https://guijiagi.com/posts/article-31/Sun, 12 Jul 2026 22:00:00 +0800https://guijiagi.com/posts/article-31/从模型压缩到推理优化，端侧AI部署的技术全栈指南https://guijiagi.com/posts/b2-d9ab35da/Sun, 12 Jul 2026 22:00:00 +0800https://guijiagi.com/posts/b2-d9ab35da/从模型压缩到推理优化，端侧AI部署的技术全栈指南https://guijiagi.com/posts/article-08/Sun, 12 Jul 2026 18:10:00 +0800https://guijiagi.com/posts/article-08/在统一硬件环境下，全面对比三种主流量化方案在推理速度、显存占用和模型质量上的表现https://guijiagi.com/posts/b2-834c7318/Sun, 12 Jul 2026 18:10:00 +0800https://guijiagi.com/posts/b2-834c7318/在统一硬件环境下，全面对比三种主流量化方案在推理速度、显存占用和模型质量上的表现https://guijiagi.com/posts/model-quantization-deploy-guide/Thu, 02 Jul 2026 11:36:00 +0800https://guijiagi.com/posts/model-quantization-deploy-guide/从选择量化方案到部署实施，模型量化部署的完整操作指南https://guijiagi.com/posts/model-quantization-impact-2026/Thu, 02 Jul 2026 10:59:00 +0800https://guijiagi.com/posts/model-quantization-impact-2026/2026年主流模型量化方案实测对比，从FP16到INT2的精度损失与性能提升https://guijiagi.com/posts/quantization-techniques-comparison/Thu, 02 Jul 2026 10:59:00 +0800https://guijiagi.com/posts/quantization-techniques-comparison/系统对比INT4、INT8、FP8量化方案在LLM中的精度、速度与工程权衡https://guijiagi.com/posts/llm-quantization-int4-2026/Tue, 30 Jun 2026 16:30:00 +0800https://guijiagi.com/posts/llm-quantization-int4-2026/大模型量化技术全景：PTQ、AWQ、GPTQ、LLM.int8() 等主流量化方案原理对比，以及 INT4 推理的精度-效率权衡https://guijiagi.com/posts/llm-quantization-2026/Tue, 30 Jun 2026 11:35:00 +0800https://guijiagi.com/posts/llm-quantization-2026/全面评测2026年主流大模型量化技术，INT4/INT8/AWQ/GPTQ实测对比https://guijiagi.com/posts/ai-inference-optimization-2026/Tue, 30 Jun 2026 09:10:00 +0800https://guijiagi.com/posts/ai-inference-optimization-2026/2026年大模型推理优化全攻略：FP8/INT4量化、结构化/动态剪枝、知识蒸馏、推测解码、投机采样等核心技术的深度解析与实战对比https://guijiagi.com/posts/quantization-principles-int4-gptq-awq/Sun, 28 Jun 2026 11:11:00 +0800https://guijiagi.com/posts/quantization-principles-int4-gptq-awq/深入解析大模型量化的数学原理，涵盖INT4/INT8量化、GPTQ、AWQ算法及其工程实现https://guijiagi.com/posts/model-quantization-2026-int4-int8-awq-gptq-comparison/Sun, 28 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/model-quantization-2026-int4-int8-awq-gptq-comparison/2026年主流模型量化技术全面实测对比：INT4/INT8/AWQ/GPTQ质量损失与推理效率分析https://guijiagi.com/posts/qlora-finetune-guide/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/qlora-finetune-guide/QLoRA量化微调指南https://guijiagi.com/posts/model-quantization-principles/Sat, 27 Jun 2026 15:00:00 +0800https://guijiagi.com/posts/model-quantization-principles/模型量化技术原理与实践https://guijiagi.com/posts/quantization-techniques/Thu, 25 Jun 2026 12:00:00 +0800https://guijiagi.com/posts/quantization-techniques/系统梳理大语言模型量化技术，涵盖 PTQ 与 QAT、对称与非对称量化、GPTQ、AWQ、SmoothQuant 等方法的原理与实现。https://guijiagi.com/posts/llama-cpp-guide/Thu, 25 Jun 2026 10:00:00 +0800https://guijiagi.com/posts/llama-cpp-guide/从 GGUF 格式到量化方案，从 CPU/GPU 混合推理到移动端部署，llama.cpp 完全实践指南。