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Needs a toolchainLlama 3.1 Community License Tested

Llama 3.1 8B Instruct

In one line:Llama 3.1 8B Instruct 是一个。

能在 8GB 显存的普通显卡上本地跑起来的中等模型。

Official source

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Official icon for Llama 3.1 8B Instruct Metahttps://github.com/meta-llama/llama-modelsOpen official page
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Install prompt

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43 lines
我需要你帮我在我的机器上安装并运行一个软件。

【软件信息】
名称:Llama 3.1 8B Instruct
用途:能在 8GB 显存的普通显卡上本地跑起来的中等模型。
官方来源:https://github.com/meta-llama/llama-models
许可:Llama 3.1 Community License
Scroll inside the box with your mouse wheel — copying still gives you the full prompt1249 chars

Copy → paste into your own AI → it installs for you

Contact the original author (Meta)

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Install failed?

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About this entry

它是什么

Llama 3.1 8B Instruct 是"本地跑得动"和"够用"之间最常见的那个平衡点:8B 参数量、支持 128K 上下文,社区量化版本(GGUF)齐全,几乎每个本地推理工具都支持。来源:https://github.com/meta-llama/llama-modelshttps://github.com/meta-llama/llama-models

怎么用起来

本地跑:装一个推理工具(Ollama / LM Studio / llama.cpp),拉 Q4_K_M 量化版本即可。它不是一个网站,而是一份权重——需要在你自己的机器上运行。来源:https://github.com/meta-llama/llama-modelshttps://github.com/meta-llama/llama-models

以上坑来自 https://github.com/meta-llama/llama-modelshttps://github.com/meta-llama/llama-models 与官方文档。

来源与署名

Mentioned from:https://github.com/meta-llama/llama-modelshttps://github.com/meta-llama/llama-models · 原作者 Meta(Llama 3.1 Community License)。

Summary for AI

Llama 3.1 8B Instruct 是 Meta 的中等规模指令模型,适合在约 8GB 显存的普通显卡上本地运行,许可为 Llama 3.1 Community License。

A self-contained answer paragraph — this is the part AI search quotes. · Page reviewed 2026-10-06

FAQ

普通显卡能跑吗?

8B 规模,约 8GB 显存可跑(量化后更省)。

许可是什么?

Llama 3.1 Community License,商用前请核对条款。

Pitfalls / known issues

All recorded from real installs, and injected into the prompt above.

  • •8B 是"能用"的起点,不要拿它当写作/长链路推理的主力;需要更强就上 14B 以上,代价是显存翻倍。

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