Llama 3.2:1b
Language Models (LLM) Llama Community License (Partial)
About
Provides lightweight natural language understanding and generation suitable for embedded and edge devices. Its compact size enables efficient inference on consumer-grade GPUs and even high-performance CPUs. Supports multilingual text processing, basic reasoning, and customizable fine-tuning.
Commercial use allowed under attribution terms (not purchase).
Citation
Meta AI. Llama 3.2 1B (1.23-billion-parameter multilingual language model), released 25 September 2024, https://huggingface.co/meta-llama/Llama-3.2-1B
Frequently Asked Questions
What is Llama 3.2:1b?
Llama 3.2:1b is a language models (llm) application available in the Paramus App Store. Provides lightweight natural language understanding and generation suitable for embedded and edge devices. Its compact size enables efficient inference on consumer-grade GPUs and even high-performance CPUs. Supports multilingual text processing, basic reasoning, and customizable fine-tuning.
What license does Llama 3.2:1b require?
Llama 3.2:1b is distributed under the Llama Community License (Partial) license. Commercial use may require a separate license. License compliance is verified during Paramus OS registration.
How do I install Llama 3.2:1b?
Llama 3.2:1b is installed through Paramus Chemistry OS, an on-premise Windows platform for computational chemistry. Open the Paramus App Store in your local installation and select Llama 3.2:1b for one-click deployment.
What type of application is Llama 3.2:1b?
Llama 3.2:1b belongs to the “Language Models (LLM)” category in the Paramus App Store. It runs on Paramus Chemistry OS and can also be accessed through Paramus Cloud for supported workflows.
What platform does Llama 3.2:1b run on?
Llama 3.2:1b runs on Paramus Chemistry OS, a Windows-based on-premise platform that provides local compute power for demanding simulations. It requires a Paramus OS installation with appropriate hardware resources.
Can Llama 3.2:1b be automated or integrated with AI workflows?
Yes. Llama 3.2:1b is available as part of the Paramus ecosystem which supports MCP (Model Context Protocol) tools for AI-driven automation. This enables integration with large language models and automated research pipelines.
How should I cite Llama 3.2:1b in publications?
The recommended citation for Llama 3.2:1b is: Meta AI. Llama 3.2 1B (1.23-billion-parameter multilingual language model), released 25 September 2024, https://huggingface.co/meta-llama/Llama-3.2-1B