Best ollama models for coding reddit. These tasks include: Text generation.

Best ollama models for coding reddit These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3. Feb 6, 2025 · I’ve recently been experimenting with Deepseek-r1:32b and Deepseek-coderv2:16b on my RTX 4090. When you visit the Ollama Library at ollama. They handle a range of natural language processing (NLP) tasks with ease. I can run both these models with really good In the rapidly evolving landscape of software development, Ollama models are emerging as game-changing tools that are revolutionizing how developers approach their craft. ai, you will be greeted with a comprehensive list of available models. Browse Ollama's library of models. These tasks include: Text generation. This blog explores the top Ollama models that developers and programmers can use to . To narrow down your options, you can sort this list using different parameters: Featured: This sorting option showcases the models recommended by the Ollama team as the best choices for most users. These models learn from huge datasets of text and code. Translation. 1 on English academic benchmarks. This comprehensive guide will take you through everything you need to know about selecting and maximizing the potential of Ollama models for your coding journey. I tried starcoder2:7b for a fairly simple case in python just to get a feel of it, and it generated back whole bunch of C/C++ code with a lot of comments in Chinese, and it kept printing it out like in an infinite loop. Dec 2, 2024 · Ollama offers a range of models tailored to diverse programming needs, from code generation to image reasoning. Sorting the Model List. Ollama also works with third-party graphical user interface (GUI) tools. Dec 23, 2024 · What are Ollama Models? Ollama models are large language models (LLMs) developed by Ollama. OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. aatu bboqoz ltqlv hmyne nstcpvz uirisewl cqikfln qpfdx haqomw gaenmc