This is a small model that will easily run on most modern machines. There are many ways to run this either using Hugging Face Transformers directly or a library

This is a small model that will easily run on most modern machines. There are many ways to run this either using Hugging Face Transformers directly or a library built on Transformers that makes it easier. For example, you can run LLM inference with txtai (https://github.com/neuml/txtai https://github.com/neuml/txtai) in Python using the following 3 lines of code. from txtai.pipeline import LLM llm = LLM("TinyLlama/TinyLlama-1.1B-Chat-v1.0") llm("""<|im_start|>user What is the speed of light?<|im_end|> <|im_start|>assistant""") I expect they'll be GGUF and AWQ versions of this model soon that will make inference possible on even smaller devices.