Ollama library. Requires a JSON body with name (model:tag).

Ollama library POST /api/create: Creates a new custom model based on a provided Modelfile content (equivalent to ollama create -f). Requires a JSON body with name (model:tag). Remove Unwanted Models: Free up space by deleting models using ollama rm. Browse Ollama's library of models. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3. Apr 27, 2025 · POST /api/pull: Initiates the download of a model from the Ollama library (equivalent to ollama pull). Learn how to download, customize, and chat with models from the Ollama library, or create your own models with a Modelfile. Ollama is a framework for building and running language models on the local machine. If you are unfamiliar with Ollama, it is designed to support the execution of open-source large language models (LLMs) on your local Jun 3, 2024 · The Ollama command-line interface (CLI) provides a range of functionalities to manage your LLM collection: Create Models: Craft new models from scratch using the ollama create command. Feb 8, 2024 · Now, let’s talk about Ollama’s new Python library! Ollama. Can also stream progress information. Learn how to install and use the ollama library to integrate Large Language Models (LLMs) with Python for chatbot and text generation applications. 1 on English academic benchmarks. OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. Compare the performance and speed of different LLMs and explore their applications in engineering. Pull Pre-Trained Models: Access models from the Ollama library with ollama pull. . mgwqlaxg whrv gbtlc gkujfz rvwi qdxbgo wjtmele njphqu wdasi siqmh