Lightweight text-only model for fast, accurate responses, ideal for edge devices and mobile apps. Enables on-device AI, ensuring privacy and low latency
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 3.2 1B Instruct supports a context window of up to 128,000 tokens.
Llama 3.2 1B Instruct can generate up to 2,048 tokens in a single output.
Llama 3.2 1B Instruct was released on September 25, 2024.
The knowledge cut-off date for Llama 3.2 1B Instruct is December 1, 2023.
No, Llama 3.2 1B Instruct is a text-only model and does not support vision capabilities.
Yes, Llama 3.2 1B Instruct supports tool calling (functions).
Yes, Llama 3.2 1B Instruct supports multiple languages, allowing it to handle input and output in several languages.
Yes, Llama 3.2 1B Instruct supports fine-tuning.
You can find the official documentation for Llama 3.2 1B Instruct on Meta’s GitHub page: Llama 3.2 1B InstructDocumentation
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