Ollama spec requirements. RAM: Minimum of 16 GB recommended.
Ollama spec requirements 1 family of models available:. 5b, 14b). 1 8B Model Specifications: Parameters: 8 billion: Context Length: 128K tokens: Multilingual Support: 8 languages: Hardware Requirements: CPU and RAM: CPU: Modern processor with at least 8 cores. With Ollama, a free tool for running language models on your personal computer, you can use the world’s most advanced AI tools at literally no personal cost. 1. md Nothing too detailed, but: Disc space required Main ram Video/Compute card requirements Keep up the good work! We would like to show you a description here but the site won’t allow us. By default, Ollama uses 4-bit quantization. Ollama generally supports machines with 8GB of memory (preferably VRAM). RAM: Minimum of 16 GB recommended. For 7B models, at least 8GB RAM is recommended. 8B; 70B; 405B; Llama 3. At the heart of any system designed to run Llama 2 or Llama 3. Matching Your GPU with Ollama's Needs. , 1. To try other quantization levels, please try the other tags. 1 is the Graphics Processing Unit (GPU). 1 405B is the first openly available model that rivals the top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use, and multilingual translation. Sep 10, 2024 · Introduction. Example: ollama run llama2:text. Apr 24, 2025 · This comprehensive guide will demystify Ollama's system requirements, walking you through everything from minimum hardware specifications to optimization strategies. This document outlines the hardware and software requirements for running Ollama, including supported platforms, memory requirements, GPU acceleration options, and development dependencies. Feb 8, 2024 · It would be very useful to have a section on system requirements in the README. Example: ollama run llama2. OLLAMA_DEBUG=1) OLLAMA_HOST: IP Address for the ollama server (default 127. Model Deployment: Open the command prompt and execute the following command to run the 8B distilled model: ollama run deepseek-r1:8b For other model sizes, replace 8b with the desired model parameter size (e. Feb 14, 2024 · For optimal performance with ollama and open-webui, consider a system with an Intel/AMD CPU supporting AVX512 or DDR5 for speed and efficiency in computation, at least 16GB of RAM, and around 50GB of available disk space. g. Llama 3. Storage These are the default in Ollama, and for models tagged with -chat in the tags tab. Reports suggest that Ollama tends to utilize only a fraction of available resources, emphasizing the importance of matching hardware capabilities with Ollama’s needs for optimal functionality. GPU: NVIDIA RTX 3090 (24 GB) or RTX 4090 (24 GB) for 16-bit mode. When it comes to meeting Ollama's hardware requirements, aligning your system with suitable GPU specifications is paramount for ensuring seamless operation and maximizing performance. 1:11434) OLLAMA_KEEP_ALIVE: The duration that models stay loaded in memory (default 5m) OLLAMA_MAX_LOADED_MODELS: Maximum number of loaded models (default 1) OLLAMA_MAX_QUEUE Apr 22, 2024 · Ollama Hardware Requirements. Mac and Linux machines are both supported – although on Linux you'll need an Nvidia GPU right now for GPU acceleration. We would like to show you a description here but the site won’t allow us. Here are the recommended system specifications: A working Ollama installation, as in point 3. Sep 30, 2024 · However, the computational demands of these models necessitate careful consideration of hardware requirements. Feb 6, 2025 · Download and install Ollama from the official website. By the end of this article, you'll have a crystal-clear roadmap for setting up your local AI environment, avoiding common pitfalls, and maximizing performance. More hardware support is on the way! When it comes to optimizing Ollama’s performance, the hardware requirements play a crucial role in unleashing its full potential. 0. $ ollama -h Large language model runner Usage: ollama [flags] ollama [command] Available Commands: serve Start ollama create Create a model from a Modelfile show Show information for a model run Run a model pull Pull a model from a registry push Push a model to a registry list List models cp Copy a model rm Remove a model help Help about any command Flags: -h, --help help for ollama -v Get up and running with large language models. To unleash the full potential of Ollama, it is Hello! Sorry for the slow reply, just saw this. Pre-trained is without the chat fine-tuning. API Interaction: Start the Ollama server: ollama serve. For 13B models, at least 16GB RAM is recommended. GPU Requirements for Llama 2 and Llama 3. AI explorers rejoice – access to artificial intelligence is no longer confined to tech giants and cloud services. This is tagged as -text in the tags tab. Jun 5, 2024 · OLLAMA_DEBUG: Show additional debug information (e. Jul 23, 2024 · Meta Llama 3. twkoclynbcbnbadembgxjpbwhlxobwctmksjiahxzkdjsryc