L

Llama 3.3 70B Instruct

Open weights
Open LLM meta-llama Docs ↗
Model spec
Provider
meta-llama
Context window
-
Max output
-
Input price
-
Output price
-
License
See model card
Open weights
Yes

Llama 3.3 70B Instruct is a large language model released by Meta as part of its open-weight Llama series. It specializes in text-based instruction-following tasks, making it suitable for developers building conversational or educational applications. The model is hosted on Hugging Face, providing accessibility to the open-source community. As an open-weight model, it offers flexibility for customization but lacks some key specifications like context window size or pricing details. Developers already working with the Llama family or those prioritizing open-weight models may find it particularly useful. Those requiring guaranteed performance metrics or commercial deployment terms should verify details not provided here through the model card.

Modality

Text

Use cases

Instruction-following text generationText-based question answeringDialogue systems for conversational AIEducational or tutoring applicationsContent drafting and summarization

Pros & cons

Pros

  • Open-weight model allows for customization and transparency
  • Part of the Llama series, which is widely recognized in the open LLM community
  • Supports text modality for diverse NLP applications

Cons

  • Context window and max output length are not specified here, limiting predictability for long-context tasks
  • Input/output pricing details are unavailable, complicating cost estimation
  • Performance benchmarks are not provided, making direct comparisons difficult

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Llama 3.3 70B Instruct

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