Ollama models comparison chart. 5b or 8b parameter versions) directly from .
Ollama models comparison chart run: list [] List of models to load in memory at container startup run: - llama2 - mistral: ollama. OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. Once installed, you can run different versions of the R1 model (like the 1. 5b or 8b parameter versions) directly from The Layers of a Model. 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. Once you decide on that, try fine-tunes and variations of that base model (like dolphin-llama3, if you chose LLama). Click on any model to see detailed metrics. While most tools treat a model as solely the weights, Ollama takes a more comprehensive approach by incorporating the system Prompt and template. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3. I documented some of the process (using an older version of OGS) here 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 Browse Ollama's library of models. We would like to show you a description here but the site won’t allow us. The layers of a model include: We would like to see "K5_M_K, K6_K and K8_0" break downs for each model. Some of these factors include: The specific task you want to accomplish. This article was inspired by the Ars Technica forum topic: The M3 Max/Pro Performance Comparison Thread. Ollama now allows for GPU usage. 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? Folks (especially those struggling to choose a model or get the best performance out of one), Just released a new version of Ollama Grid Search with added features that make A/B testing and model comparison much easier. In the chart below, we also compare Devstral to closed and open models evaluated under any scaffold (including ones custom for the model). Thanks for sharing. ) Save all results in a single CSV file for easy analysis May 21, 2024 · 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. mountPath: string "" Benchmark multiple LLM models available in Ollama; Test models on different categories of tasks (coding, general text, summarization) Measure response time and resource usage; Capture detailed Ollama statistics (total duration, load duration, eval count, etc. Dec 23, 2024 · Choosing the Right Ollama Model. Factors to Consider Oct 18, 2024 · In this experiment, we’re pitting four popular models from Ollama — Tinyllama, Mistral, Llama 2, and Llama 3 — against each other to see who comes out on top. The comparison of Tinyllama Ollama Model Lab provides an intuitive playground for exploring and comparing different Ollama models. ollama. The desired performance level. 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 Mar 28, 2024 · Comparing Multiple Large Language Models in one Pass 28 Mar 2024. models. Setting up DeepSeek with Ollama is straightforward. 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. Apr 24, 2025 · Discover the best Ollama models for developers in 2025. . Generally the higher bpw (quantz) the better accuracy. Choosing the right Ollama model depends on a few key factors. Most models use K4_0 for base model but I prefer using K5 to K8 models. The available computational resources. The last step is to figure out which model parameters (temperature, repeat_penalty, etc) work best for your use case. Apr 5, 2024 · There are other comparisons of the CPU out there, I'm going to focus on my tiny little world use case to help me decide on what M3 size and model I should jump for. Compare features, performance, and find the right model for your needs. You also need to consider your needs carefully before you select a model. pull: list [] List of models to pull at container startup The more you add, the longer the container will take to start if models are not present pull: - llama2 - mistral: ollama. Lance Johnson. In Ollama, a model consists of multiple layers, each serving a distinct purpose analogous to docker's layers. Maybe there is an argument for using FP16 models, but I'd need to get input on that. Here's the latest feature list: Automatically fetches models from local or remote Ollama servers; 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. LLM Leaderboard - Comparison of GPT-4o, Llama 3, Mistral, Gemini and over 30 models. Feb 10, 2025 · Running DeepSeek Locally. For more details including relating to our methodology, see our FAQs. 1 on English academic benchmarks. Apr 25, 2025 6 min read. Comparison and analysis of AI models across key performance metrics including quality, price, output speed, latency, context window & others. Comparison of Models: Intelligence, Performance & Price Analysis. uzdocrdvumrzpcqpybfvvthpaueahvfcudusjfibwesef