A small and fast, 8B model from Perplexity, that can access the internet
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 Sonar Small is a small and fast 8B model from Perplexity, designed for efficient task handling with the ability to access the internet for real-time information.
Llama 3.1 Sonar Small supports a context window of up to 127,000 tokens, enabling it to process larger inputs with ease.
Llama 3.1 Sonar Small can generate up to 127,000 tokens in a single response.
Llama 3.1 Sonar Small was released on July 1, 2024.
This model can access the internet, so it does not have a fixed knowledge cut-off date.
No, Llama 3.1 Sonar Small does not support vision capabilities.
No, Llama 3.1 Sonar Small does not support functions or tool calling.
Yes, Llama 3.1 Sonar Small supports multiple languages.
No, Llama 3.1 Sonar Small does not offer fine-tuning capabilities.
You can find the official documentation for Llama 3.1 Sonar Small here.
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