Ideal for limited computational power and resources, faster training times, and edge devices.
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 3.1 8B 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 3.1 8B is $0.30 per million input tokens and $0.61 per million output tokens when hosted on Azure.
For Llama 3.1 8B, the price is $0.0003 per 1,000 input tokens and $0.00061 per 1,000 output tokens when hosted on Azure.
Llama 3.1 8B supports a context window of up to 128,000 tokens.
Llama 3.1 8B can generate up to 2,048 tokens in a single output.
Llama 3.1 8B was released on July 23, 2024.
The knowledge cut-off date for Llama 3.1 8B is December 1, 2023.
No, Llama 3.1 8B is a text-only model and does not support vision capabilities.
Yes, Llama 3.1 8B supports tool calling (functions).
Yes, Llama 3.1 8B supports multiple languages, allowing it to handle input and output in several languages.
Yes, Llama 3.1 8B supports fine-tuning.
You can find the official documentation for Llama 3.1 8B on Meta’s GitHub page: Llama 3.1 8B Documentation
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