What is Meta Llama 3.3 70B Instruct?
Meta Llama 3.3 70B Instruct is the latest 70B parameter model from Meta's Llama family. It was released in 2024-12 and features a context window of 128K tokens. Its key features include: 70 billion parameters, 128K context length, Improved performance over Llama 3.1, Enhanced reasoning and coding, Multilingual capabilities. It is designed for use cases such as: Content generation, Code development, Complex reasoning tasks, Multilingual applications, Research and experimentation.
What are the typical use cases for Meta Llama 3.3 70B Instruct?
Meta Llama 3.3 70B Instruct is well-suited for tasks like: Content generation, Code development, Complex reasoning tasks, Multilingual applications, Research and experimentation.
What is the context window size for Meta Llama 3.3 70B Instruct?
The context window for Meta Llama 3.3 70B Instruct is 128K tokens.
How much does Llama 3.3 70B Instruct cost?
Meta Llama 3.3 70B Instruct costs $0.60 per million input tokens and $0.60 per million output tokens.
What improvements does Llama 3.3 have over Llama 3.1?
Llama 3.3 70B offers improved performance over Llama 3.1 70B with enhanced reasoning and coding capabilities. It represents Meta's latest advancements in the 70B parameter class, providing better results across various benchmarks while maintaining the same parameter count.
Is Llama 3.3 70B Instruct open source?
Yes, like other Meta Llama models, Llama 3.3 70B Instruct is released with open weights under Meta's permissive license, allowing for both research and commercial use with certain conditions.
What languages does Llama 3.3 70B support?
Llama 3.3 70B Instruct has multilingual capabilities and can work with many languages, though its performance is typically strongest in English and other well-represented languages in its training data.
Can I self-host Llama 3.3 70B Instruct?
Yes, as an open-weight model, you can download and self-host Llama 3.3 70B Instruct. However, you'll need significant computational resources (approximately 140-280GB of RAM depending on precision) to run the 70B parameter model effectively.
How does Llama 3.3 70B compare to larger Llama models?
While Llama 3.3 70B is smaller than the 405B variant, it offers an excellent balance of performance and efficiency. It's suitable for many applications where the largest models might be overkill, and it can run on more accessible hardware while still providing strong capabilities.
How can I access Meta Llama 3.3 70B Instruct?
Information on accessing Meta Llama 3.3 70B Instruct can typically be found on the provider's website: https://ai.meta.com/llama/
What is the training data cutoff for Llama 3.3 70B Instruct?
The training data cutoff for Meta Llama 3.3 70B Instruct is December 2023.