Llama 3.3 — Local AI Model by Meta

作者： Jakub Rusinowski · 最后更新： 2024年12月8日

Superseded model. Llama 3.3 has been superseded by Llama 4. This page is kept for reference; the newer family is a better starting point. View Llama 4 →

Meta最新旗舰模型。Llama 3.3 70B在众多基准测试中媲美庞大的405B模型，同时效率足够高，适合高端本地部署。

Licence

LicenceWhat it permitsApplies to
Llama CommunityCommercial use permitted
Weights are downloadable and commercial use is permitted, subject to the licence’s acceptable-use terms.		Llama 3.3 70B Instruct

Hardware Requirements

Llama 3.3 70B InstructMin 43 GB VRAM · Q2_K_XS (Tight) · 128,000 ctx · ollama run llama3.3

Recommended GPU

The cheapest GPU that runs Llama 3.3 locally (min 43 GB VRAM) is the Apple M5 Pro (64 GB).

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买，LLM Configurator 可能会获得佣金，而你无需支付任何额外费用。作为亚马逊联盟成员（Amazon Associate），LLM Configurator 会从符合条件的购买中获得收益。
Apple MacBook Pro M5 Pro
64 GB VRAM · 30 W board power
2026年价格波动较大——请以当前商品页价格为准。
在亚马逊查看价格

How to Run Locally

Install Ollama then run: ollama run llama3.3

Minimum VRAM: 43 GB. For best results use Q4_K_M quantization.

Llama 3.3 — Frequently Asked Questions

How much VRAM does Llama 3.3 need?

Llama 3.3 needs about 43 GB VRAM at Q2_K_XS (Tight) quantization for its smallest variant. Variants: Llama 3.3 70B Instruct (43 GB, Q2_K_XS (Tight)). On Apple Silicon, unified memory counts toward this requirement.

Can I run Llama 3.3 on an RTX 4090 (24 GB)?

Llama 3.3's smallest variant needs about 43 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.

What quantization should I use for Llama 3.3?

Q4_K_M is the best balance of quality and VRAM for Llama 3.3 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Llama 3.3 with Ollama?

Install Ollama, then run: ollama run llama3.3. This downloads Llama 3.3 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.

Can I Run Llama 3.3 on My GPU?