Ideal for limited resources and edge devices, excelling in summarization, classification, sentiment analysis, and translation
The company that provides the model
The number of tokens you can send in a prompt
The maximum number of tokens a model can generate in one request
The cost of prompt tokens sent to the model
The cost of output tokens generated by the model
When the model's knowledge ends
When the model was launched
Capability for the model to use external tools
Ability to process and analyze visual inputs, like images
Support for multiple languages
Whether the model supports fine-tuning on custom datasets
Llama 3 8B Instruct has a cost structure of $0.30 per million input tokens and $0.61 per million output tokens when hosted on Azure.
The API cost for Llama 3 8B Instruct is $0.30 per million input tokens and $0.61 per million output tokens when hosted on Azure.
For Llama 3 8B Instruct, the price is $0.00030 per 1,000 input tokens and $0.00061 per 1,000 output tokens when hosted on Azure.
Llama 3 8B Instruct supports a context window of up to 8,000 tokens.
Llama 3 8B Instruct can generate up to 2,048 tokens in a single output.
Llama 3 8B Instruct was released on April 18, 2023.
The knowledge cut-off date for Llama 3 8B Instruct is March 1, 2023.
No, Llama 3 8B Instruct is a text-only model and does not support vision capabilities.
No, Llama 3 8B Instruct does not support tool calling or functions.
Yes, Llama 3 8B Instruct supports multiple languages, allowing it to handle input and output in several languages.
Yes, Llama 3 8B Instruct supports fine-tuning.
You can find the official documentation for Llama 3 8B Instruct on Meta’s GitHub page: Llama 3 8B Instruct Documentation.
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