Ollama models comparison. 2 models use Q8_0 (1B) and Q4_K_M (3B).

Ollama models comparison Once you decide on that, try fine-tunes and variations of that base model (like dolphin-llama3, if you chose LLama). Am I missing something? Ollama Model Lab provides an intuitive playground for exploring and comparing different Ollama models. wizardlm2:8x22b: the most advanced model, and the best opensource LLM in Microsoft’s internal evaluation on highly complex tasks. By offering a range of solutions, including natural language processing models and customizable AI features, Ollama empowers developers, businesses, and organizations to integrate advanced machine learning technologies into their workflows. The Llama 3. Jan 1, 2025 · Operation is incredibly simple—just one command ollama run <model_name>instantly awakens the model and starts the intelligent interaction. Running AI models locally has traditionally been a complex and resource-intensive task, requiring significant setup, configuration, and ongoing maintenance. It worked beautifully—fast responses, no internet required, and Apr 26, 2025 · Ollama only supports models that are listed on the models page on the Ollama website. In this blog, we’ll break down how Ollama and LocalAI Jan 29, 2025 · The world of large language models (LLMs) is becoming increasingly accessible, even on consumer-grade hardware. Distilled models. Some of these factors include: The specific task you want to accomplish. 2 models use Q8_0 (1B) and Q4_K_M (3B). Choosing the right Ollama model depends on a few key factors. ollama run deepseek-r1:671b Note: to update the model from an older version, run ollama pull deepseek-r1. This article aims to demonstrate how Ollama Grid Search can streamline the process of comparing and selecting Large Language Models (LLMs) for various tasks and provide answers to common questions such as: What is the best model for for story telling? Dec 27, 2023 · Ollama Grid Search: Instantly Evaluate Multiple LLMs and Prompts. 1 and 3. Fine-tuning was done on Hugging Face, but the final model was deployed on Ollama to ensure full data privacy. Media Credit: Matt Williams. Ollama: Pioneering Local Large Language Models Just released a new version of Ollama Grid Search with added features that make A/B testing and model comparison much easier. 2. 1 on English academic benchmarks. Dec 6, 2024 · The Meta Llama 3. Determining which one […] Im new to LLMs and finally setup my own lab using Ollama. Model: MetaIX/GPT4-X-Alpasta-30b-4bit Env: Intel 13900K, RTX 4090 24GB, DDR5 64GB 4800MHz Performance: 10 tokens/s Reason: This is the best 30B model I've tried so far. Jan 21, 2024 · Table 1: Machines/VMs are used to run Ollama with different LLMs and VLM to compare performance. Pin. The 14B model, on the other hand, takes a completely different approach. . 🔹 Step 3: Deploy on Ollama – Now, I can run the model fully offline, with zero cloud dependency. While both tools offer powerful AI capabilities, they differ in optimization Sep 21, 2024 · For a full list of all currently supported AI models on Ollama jump over to the official website Models Library. Ollama changes the game by abstracting muc Jan 29, 2025 · 👉 Ollama is an excellent choice for developers and AI enthusiasts looking to experiment with AI models on personal machines. Here's the latest feature list: Automatically fetches models from local or remote Ollama servers; Iterates over different models and params to generate inferences; A/B test prompts on different models simultaneously Mar 28, 2024 · Comparing Multiple Large Language Models in one Pass 28 Mar 2024. Run AI models locally. You also need to consider your needs carefully before you select a model. 5 Llama 3. Ollama model library has… About An open-source LLM comparison tool that allows users to input prompts and compare the performance of language models in a blind test format. Moreover, Ollama is highly customizable, allowing users to customize models through Modelfile. We can compare the 70B Q4_0 model across Ollama and llama. Apr 21, 2025 · Discover the best Ollama models for 2025, from versatile coding assistants to efficient debugging tools. For those looking to leverage the power of these AI marvels, choosing the right model can be a daunting task. Oct 21, 2024 · With just a few steps, you can set up an open-source, general-purpose model, or choose a specialised LLM tailored for specific tasks. You can flexibly adjust creativity parameters or system messages to make model outputs fit specific scenarios. 3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. One of Ollama’s key advantages is its focus on customization and performance optimization. These are the default models when using Ollama. The available computational resources. Introduction: Navigating the world of ollama models What are ollama models? Types of ollama models: A comprehensive exploration Best ollama models for different use cases: Tailored solutions for diverse needs Ollama model comparison: Performance metrics and benchmarks How to choose the best ollama model: A strategic approach Conclusion: Navigating the future of AI with Feb 28, 2025 · DeepSeek’s first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen. Model performance comparison tools; OpenAI-compatible API server; Getting Started with LM Studio: Install LM Studio: Visit lmstudio. Among the top C++ implementations of Meta’s LLaMA model, llama. This lists all downloaded models and shows which ones are active. LLM Leaderboard - Comparison of GPT-4o, Llama 3, Mistral, Gemini and over 30 models. Unlike typical chat interfaces or benchmark tools, this lab environment allows you to: Test multiple models simultaneously with the same prompt Compare detailed performance metrics and response Fig. 3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). 1 models – specifically 405B, 70B, and 8B (labeled as "latest") – use Q4_0 quantization, while the 3. This step is really easy! just run the following in the command prompt: ollama run modelName Mar 4, 2025 · Pick any two Ollama models from a dropdown (or add custom ones) Enter your prompt; Hit "Compare" and watch the magic happen; Check out not just the responses, but also the generation time and token counts; Tech stuff (for the curious) The app is built with: Python and Gradio for the UI (super easy to use!) Requests library to talk to Ollama's API Exploring the Ollama Library Sorting the Model List. Fine-tuned models are custom versions of source models. wizardlm2:70b: model with top-tier reasoning capabilities for its size (coming May 5, 2025 · Journey through the realms of imagination and storytelling, where words have the power to transport, inspire, and transform. Maybe there is an argument for using FP16 models, but I'd need to get input on that. This project automates the process of selecting the best models, prompts, or inference parameters for a given use-case, allowing you to iterate over their combinations and to visually inspect the results. Key Observations. Jul 16, 2024 · What are Ollama and VLLM? Ollama: A tool that makes it easy to use LLMs on your own computer. All 3. 5B to 671B ). Jan 21, 2024 · Ollama and LocalAI are both powerful and versatile platforms that offer a wealth of features and capabilities. These tasks include natural language processing, system translation, and question-answering. When you visit the Ollama Library at ollama. I've also tested many new 13B models, including Manticore and all the Wizard* models. Step 3: Download the Models. May 13, 2024 · Distribution of Ollama Models by Category. py)" Code completion ollama run codellama:7b-code '# A simple python function to remove whitespace from a string:' Ollama Model Compare helps you identify differences between two Ollama models. Nov 16, 2024 · As AI models grow in size and complexity, tools like vLLM and Ollama have emerged to address different aspects of serving and interacting with large language models (LLMs). Dec 23, 2024 · Ollama models are large language models that can be used for various tasks. Its response is detailed, exploratory, and at times, overwhelming. Generally the higher bpw (quantz) the better accuracy. Here are some useful commands: Check Running Models: ollama list. What makes Ollama models truly exceptional in 2025 is their unique combination of features: Seamless Local Deployment: Unlike cloud-based solutions, Ollama models can be run entirely on local hardware; Extensive Customization: Developers can fine-tune models to specific domain requirements Apr 5, 2024 · Photo by Liudmila Shuvalova / Unsplash. In this blog post, we will provide an in-depth comparison of Ollama and LocalAI, exploring their features, capabilities, and real-world applications. The main focus on this analysis is to compare two models: GPT-4 (gpt-4-0613) vs and Llama 3 70B. It assumes Ollama is Jan 9, 2024 · The world of language models (LMs) is evolving at breakneck speed, with new names and capabilities emerging seemingly every day. Share. 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 Apr 24, 2025 · Key features that set ollama models apart. Here’s what we found: 1. So here's the list of models and my notes plus my very personal rating (👍 = recommended, = worth a try, not recommended, = unusable): Oct 30, 2024 · Fig. I documented some of the process (using an older version of OGS) here Dec 23, 2024 · Choosing the Right Ollama Model. It has a wide range of supported models, from opensource ollama ones to the likes of Openai. I see specific models are for specific but most models do respond well to pretty much anything. The last step is to figure out which model parameters (temperature, repeat_penalty, etc) work best for your use case. Successfully implementing Ollama models requires more than just selecting the right model—it demands a thoughtful approach to integration within your development environment. Among the leading solutions enabling local AI deployment are Ollama and LocalAI, each offering distinct capabilities depending on your goals and infrastructure. To make your search easier, you can sort this list using different parameters: Featured: Showcases the models recommended by the Ollama team as the best choices for most users. Jan 30, 2025 · DeepSeek Models in comparison with OpenAI’s models. Tool to compare response speeds of different Ollama models - iamstufff/ollama-performance-test Browse Ollama's library of models. Most models use K4_0 for base model but I prefer using K5 to K8 models. May 8, 2025 · In 2025, the push toward running large language models (LLMs) locally has accelerated — driven by demands for tighter data privacy, lower latency, and greater cost control. May 21, 2025 · When evaluated under the same test scaffold (OpenHands, provided by All Hands AI 🙌), Devstral exceeds far larger models such as Deepseek-V3-0324 and Qwen3 232B-A22B. 💡 Example: I once built an LLM-based contract analysis tool. It's particularly useful when you: Want to compare different versions of the same model; Need to understand parameter differences between similar models; Are debugging issues related to model configuration Jan 27, 2025 · The 14B Model - Deep, Exploratory, and Abstract. Modern IDEs offer sophisticated integration capabilities that can significantly enhance these models' effectiveness. Performance: Speed, Memory, and Scalability Apr 19, 2024 · Photo by Sifan Liu / Unsplash. cpp, with Ollama Sep 11, 2024 · Ollama is a platform designed to empower AI practitioners by bringing large language models closer to home. The pie chart vividly illustrates the current landscape of open-source LLMs, highlighting a clear dominance of Text and Chat models, which constitute the May 13, 2025 · Deepseek R1 Vs R1 Zero Vs V3 Models Comparison Deepseek R1 Ollama Deepseek r1 and deepseek v3 are powerful tools, each suited for different tasks. Feb 27, 2025 · Analysis of AI Models from Ollama Website. Run a Model: ollama run <model-name > For example: ollama run llama3; Stop a Model: ollama stop < model-name This family includes three cutting-edge models: wizardlm2:7b: fastest model, comparable performance with 10x larger open-source models. DeepSeek team has demonstrated that the reasoning patterns of larger models can be distilled into smaller models, resulting in better performance compared to the reasoning patterns discovered through RL on small models. If you look closely, you will find that Ollama uses the Q4_K_M quantization type. However, unless you have an insanely powerful machine, you won’t be able to run DeepSeek R1 on your local setup. Source models form the base for other Ollama models. Large language models are essentially massive neural networks trained on vast amounts of text data. Apr 16, 2025 · With the increasing adoption of large language models (LLMs) in software development, running these models locally has become essential for developers seeking better performance, privacy, and cost control. The Showdown: Ollama vs VLLM. For example, when you choose Deepseek-r1 , you will see multiple parameter versions ( 1. ai, you’ll see a comprehensive list of available models. Filed Under: AI, Guides. It doesn’t matter what system you use as Ollama supports Windows, macOS, and Linux, making it accessible for most users. To make the comparison more promising and consistent, the Raspberry Pi 5 was installed with Ubuntu ollama run deepseek-r1:671b Note: to update the model from an older version, run ollama pull deepseek-r1. Since DeepSeek models are open-source and licensed under MIT, they are free to use for both personal and commercial purposes, and you can even run them locally. Ollama provides commands to check which models are running and manage them directly from the terminal. I stumbled upon Ollama while looking for ways to run large language models (LLMs) locally for research at work some time last year during the initial explosion of the interest in ChatGPT. The desired performance level. So far, they all seem the same regarding code generation. I installed the models using ollama, and used a simple prompt for comparing them: “What’s the best way for me to learn about LLMs?” Comparison. cpp, with Apr 28, 2024 · # Exploring the Ollama Library # Sorting Models. We look at standard benchmarks, community-run experiments, and conduct a set of our own small-scale experiments. VLLM: A tool designed to run LLMs very efficiently, especially when serving many users at once. Learn how to choose the right model for your needs and integrate AI into your workflow. OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. In the middle of me taking on the challenge of a small full-stack project by my lonesome by rapidly developing a parallel alternative to one in production backed by more than a dozen engineers, I started looking to get a bit more embedding performance or alternatives to the "text-embedding-3-large" that I currently have running in the background as I write this post. deepseek r1 is faster and better for tasks like creating content quickly, coding, and solving logical problems, while deepseek v3 is better at handling complex tasks that need a deep understanding Ollama stands out as a cutting-edge platform that prioritizes the delivery of AI-driven tools and services, aimed at facilitating user interaction and the development of AI-enhanced applications. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3. ai; Download the installer for your OS Download Models: Navigate to the “Discover” tab; Browse and download models based on your hardware capabilities Chat or Enable API: Use the built-in chat interface Jul 18, 2023 · ollama run codellama "write a unit test for this function: $(cat example. Simply select two models, then test them across various prompts and scenarios tailored to your domain. They’re trained to predict the next word in a sequence. It allows users to run AI models directly on their local machines. In the chart below, we also compare Devstral to closed and open models evaluated under any scaffold (including ones custom for the model). For example there are 2 coding models (which is what i plan to use my LLM for) and the Llama 2 model. cpp and ollama stand out. 2 models running under Ollama. Apr 30, 2025 · Before diving into the comparison, let's take a moment to understand why local LLM frameworks like Ollama and vLLM have become increasingly important. This survey note provides an in-depth analysis of the AI models listed on the ollama website, as of February 26, 2025, based on the provided descriptions and additional research. ‍ Key Observations. We tested both tools using the same AI model (Llama2 8B) and compared how they performed. 1 models—specifically 405B, 70B, and 8B (labeled as “latest”)—use Q4_0 quantization, while the 3. These models-think GPT-4, Llama, or Gemma-require significant computational resources to run. Browse Ollama's library of models. ai, you will be greeted with a comprehensive list of available models. We would like to see "K5_M_K, K6_K and K8_0" break downs for each model. Two popular solutions have emerged in this space: Ollama, an established framework for local LLM management, and Docker Model Runner, a recent Same conversation with all models, SillyTavern frontend, KoboldCpp backend, GGML q5_K_M, deterministic settings, > 22 messages, going to full 4K context, noting especially good or bad responses. Two particularly prominent options in the current landscape are Ollama and GPT. Enterprises and developers alike seek efficient ways to deploy AI solutions without relying on expensive GPUs. Join us as we dive into the enchanting world of literature, sharing literary masterpieces, thought-provoking analyses, and the joy of losing oneself in the pages of a great book in our Deepseek R1 Vs R1 Zero Vs V3 Models Comparison Deepseek R1 Ollama section. Tweet. Factors to Consider Oct 18, 2024 · Llama 3- 8 Billion Params. Email. Apr 24, 2025 · Table of contents. Overall, the desktop is the fastest - almost twices as fast as the M-series Macbooks, and an order of magnitude faster than the Intel laptop. Thanks for sharing. Comparison and ranking the performance of over 30 AI models (LLMs) across key metrics including quality, price, performance and speed (output speed - tokens per second & latency - TTFT), context window & others. afel fopx ahpi ixdf zrvqre kqejp umdm xholh bwcxx vsgqyhjx