Llama 3.3 70B

• 🧠 70B instruction-tuned, text-only model from Meta
• 📏 128,000-token context window
• 🌐 Multilingual across eight officially supported languages
• 🔧 Function-calling and tool use, plus Venice web-search capability
• ⚡ FP8 quantization for efficient deployment at this scale
• 📚 Pretrained on roughly 15 trillion tokens of public data
• 💬 Tuned for multilingual dialogue and assistant-style chat
• 🔒 Released under Meta's Llama 3.3 Community License

Meta

Meta Platforms is an American multinational technology company headquartered in Menlo Park, California. Best known for operating Facebook, Instagram, WhatsApp, and Threads, Meta has become one of the most influential players in open-weight AI research through…

Llama 3.3 70B is Meta's text-only, instruction-tuned large language model in the Llama family, optimized for multilingual dialogue, assistant-style chat, and tool use. It was pretrained on approximately 15 trillion tokens from publicly available sources, with fine-tuning drawing on public instruction datasets plus large volumes of synthetically generated examples. Here it ships as an FP8 quantization with a 128,000-token context window, and adds function-calling and web-search capabilities.

Within the same family, it sits well above the compact Llama 3.2 3B, a much smaller model aimed at lightweight, on-device use, and it precedes the community fine-tune Hermes 3 Llama 3.1 405b, a far larger 405B variant built on a different base.

Compared with the earlier Llama 3.1 generation, Llama 3.3 70B is positioned by Meta's model card as a continued iteration of the 70B line, retaining the same 128,000-token context length and supporting tool use and code-interpreter style workflows. It is multilingual, with eight officially supported languages.

Note that Llama 3.3 is offered only as an instruction-tuned model; there is no separately released pretrained checkpoint in this revision. Released under Meta's Llama 3.3 Community License, it remains one of the most widely downloaded open-weight Llama checkpoints on Hugging Face.