{"id":330909,"date":"2025-12-05T04:00:59","date_gmt":"2025-12-05T04:00:59","guid":{"rendered":"https:\/\/peraltafinancing.com\/uncategorized\/ollama-for-beginners-talk-crypto\/"},"modified":"2025-12-05T04:00:59","modified_gmt":"2025-12-05T04:00:59","slug":"ollama-for-beginners-talk-crypto","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=330909","title":{"rendered":"Ollama for beginners \u2013 Talk Crypto"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>Ollama is a free tool that allows you to runs LLMs (Large Language Models) directly on your local machine. This is convenient for AI developers, researchers, or just experimenting and learning about AI.<\/p>\n<p>There is a lot to grasp initially so the best thing to do is just to jump in, set it up and use it. Then ask questions along the way. <\/p>\n<h2 class=\"wp-block-heading\">Download Ollama<\/h2>\n<p>Firstly, let\u2019s download Ollama at: <a href=\"https:\/\/ollama.com\/download\">https:\/\/ollama.com\/download<\/a> for your specific OS and then install it. When installed, you won\u2019t see anything. It just runs in the background. To interact with it, you\u2019ll have to use the command line.<\/p>\n<h2 class=\"wp-block-heading\">Interacting with Ollama<\/h2>\n<p>Once Ollama is installed, open your terminal and type <code>ollama --version<\/code>. Here you can see I\u2019m running 0.5.11<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"328\" height=\"36\" src=\"https:\/\/www.talkcrypto.org\/blog\/wp-content\/uploads\/2025\/02\/image.png\" alt=\"\" class=\"wp-image-3572\" srcset=\"https:\/\/www.talkcrypto.org\/blog\/wp-content\/uploads\/2025\/02\/image.png 328w, https:\/\/www.talkcrypto.org\/blog\/wp-content\/uploads\/2025\/02\/image-300x33.png 300w\" sizes=\"auto, (max-width: 328px) 100vw, 328px\"\/><\/figure>\n<p>Let\u2019s get familiar with some basic commands. Type <code>ollama --help<\/code> to show some basic commands such as: <\/p>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama --help\nLarge language model runner\n\nUsage:\n  ollama [flags]\n  ollama [command]\n\nAvailable Commands:\n  serve       Start ollama\n  create      Create a model from a Modelfile\n  show        Show information for a model\n  run         Run a model\n  stop        Stop a running model\n  pull        Pull a model from a registry\n  push        Push a model to a registry\n  list        List models\n  ps          List running models\n  cp          Copy a model\n  rm          Remove a model\n  help        Help about any command\n\nFlags:\n  -h, --help      help for ollama\n  -v, --version   Show version information<\/code><\/pre>\n<p>These command are self explanatory once you\u2019ve run it a few times but for first timers, let\u2019s go through some examples.<\/p>\n<h4 class=\"wp-block-heading\">ollama serve<\/h4>\n<p>This starts your Ollama app via command line. If you have the \u201cGUI\u201d application though, you can run that and not have to run the serve command. Also, if you run other commands such as <code>ollama list<\/code>, the Ollama \u201cGUI\u201d application will start automatically. All this is to say that you probably don\u2019t have to run <code>ollama serve<\/code>. <\/p>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama serve\n2025\/02\/15 21:32:18 routes.go:1186: INFO server config env=\"map[HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http:\/\/127.0.0.1:11434 OLLAMA_KEEP_ALIVE:5m0s OLLAMA_KV_CACHE_TYPE: OLLAMA_LLM_LIBRARY: OLLAMA_LOAD_TIMEOUT:5m0s OLLAMA_MAX_LOADED_MODELS:0 OLLAMA_MAX_QUEUE:512 OLLAMA_MODELS:\/Users\/seandotau\/.ollama\/models OLLAMA_MULTIUSER_CACHE:false OLLAMA_NOHISTORY:false OLLAMA_NOPRUNE:false OLLAMA_NUM_PARALLEL:0 OLLAMA_ORIGINS:[http:\/\/localhost https:\/\/localhost http:\/\/localhost:* https:\/\/localhost:* http:\/\/127.0.0.1 https:\/\/127.0.0.1 http:\/\/127.0.0.1:* https:\/\/127.0.0.1:* http:\/\/0.0.0.0 https:\/\/0.0.0.0 http:\/\/0.0.0.0:* https:\/\/0.0.0.0:* app:\/\/* file:\/\/* tauri:\/\/* vscode-webview:\/\/*] OLLAMA_SCHED_SPREAD:false http_proxy: https_proxy: no_proxy:]\"\ntime=2025-02-15T21:32:18.285+11:00 level=INFO source=images.go:432 msg=\"total blobs: 6\"\ntime=2025-02-15T21:32:18.285+11:00 level=INFO source=images.go:439 msg=\"total unused blobs removed: 0\"\ntime=2025-02-15T21:32:18.286+11:00 level=INFO source=routes.go:1237 msg=\"Listening on 127.0.0.1:11434 (version 0.5.11)\"\ntime=2025-02-15T21:32:18.335+11:00 level=INFO source=types.go:130 msg=\"inference compute\" id=0 library=metal variant=\"\" compute=\"\" driver=0.0 name=\"\" total=\"21.3 GiB\" available=\"21.3 GiB\"\n\n[GIN] 2025\/02\/15 - 21:32:43 | 200 |      66.833\u00b5s |       127.0.0.1 | HEAD     \"\/\"\n[GIN] 2025\/02\/15 - 21:32:43 | 200 |    1.078416ms |       127.0.0.1 | GET      \"\/api\/tags\"\n[GIN] 2025\/02\/15 - 21:32:57 | 200 |      28.167\u00b5s |       127.0.0.1 | HEAD     \"\/\"<\/code><\/pre>\n<h4 class=\"wp-block-heading\">ollama list<\/h4>\n<p>This will list the models you have downloaded. It will show blank for now so let\u2019s download a model.<\/p>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama list<br\/>NAME ID SIZE MODIFIED<\/code><\/pre>\n<h4 class=\"wp-block-heading\">ollama pull<\/h4>\n<p>To download a model we need to run <code>ollama pull<\/code>, but we need to know what model to pull. This is where: <a href=\"https:\/\/ollama.com\/search\">https:\/\/ollama.com\/search<\/a> comes into play. It lists all the model options available but how do you choose? <\/p>\n<h5 class=\"wp-block-heading\">model summary<\/h5>\n<p>Llama: Llama is an NLP (Natural Language Processing) model for tasks like text generation, summarization, and machine translation. It is ideal for general-purpose chat, conversational AI, and answering questions.<\/p>\n<p>Mistral: Mistral, similar to Llama, handles code generation and large-scale data analysis, making it ideal for developers working on AI-driven coding platforms<\/p>\n<p>Phi-4: An AI language model developed by Microsoft, is a <a href=\"https:\/\/techcommunity.microsoft.com\/blog\/aiplatformblog\/introducing-phi-4-microsoft%E2%80%99s-newest-small-language-model-specializing-in-comple\/4357090\">14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning in areas such as math, in addition to conventional language processing.<\/a><\/p>\n<p>LLaVa: LLaVA is a multimodal model capable of processing text and images. (A multimodal model is an AI system that can process and understand multiple types of information or \u201cmodes\u201d \u2013 such as text, images, audio, and video \u2013 often simultaneously.)<\/p>\n<p>Code Llama: A large language model that can use text prompts to generate and discuss code.<\/p>\n<p>These are just but a small snippet of what is available. What you\u2019ll also notice are model size options. eg for llama3.2, there is a 1 billion or 3 billion parameter size option. The more parameters, the more accurate the model, but the larger the model size. Eg pulling Llama 3.2:1b will take 1.3Gb but Llama 3.2:3b will take 2Gb. Compare this to Llama 3.1:140b which will take a whopping 243Gb of disk space. <\/p>\n<p>So now we know about types of models and model sizes, let\u2019s pull Llama3.2 which is simple and lightweight. Run <code>ollama pull llama3.2<\/code>. <\/p>\n<p>Notice I didn\u2019t add the model parameter? If it is left out, then it will default to <code>ollama pull llama3.2:latest<\/code> which currently is the equivalent of <code>ollama pull llama3.2:3b<\/code>. <\/p>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama pull llama3.2\npulling manifest\npulling dde5aa3fc5ff... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 2.0 GB\npulling 966de95ca8a6... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 1.4 KB\npulling fcc5a6bec9da... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 7.7 KB\npulling a70ff7e570d9... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 6.0 KB\npulling 56bb8bd477a5... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f   96 B\npulling 34bb5ab01051... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  561 B\nverifying sha256 digest\nwriting manifest\nsuccess<\/code><\/pre>\n<h4 class=\"wp-block-heading\">ollama show<\/h4>\n<p>Now if you run <code>ollama list<\/code> you should see the model you just pulled. <\/p>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama list<br\/>NAME ID SIZE MODIFIED<br\/>llama3.2:3b a80c4f17acd5 2.0 GB 28 seconds ago<\/code><\/pre>\n<p>What is neat is that you can also show the information of this model by running <code>ollama show llama3.2<\/code><\/p>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama show llama3.2\n  Model\n    architecture        llama\n    parameters          3.2B\n    context length      131072\n    embedding length    3072\n    quantization        Q4_K_M\n\n  Parameters\n    stop    \"&lt;|start_header_id|&gt;\"\n    stop    \"&lt;|end_header_id|&gt;\"\n    stop    \"&lt;|eot_id|&gt;\"\n\n  License\n    LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n    Llama 3.2 Version Release Date: September 25, 2024<\/code><\/pre>\n<h4 class=\"wp-block-heading\">ollama rm<\/h4>\n<p>To remove a model, run <code>ollama rm llama3.2<\/code> for instance. Tip: If you interrupted a download, you\u2019ll have partial files in your \/User\/seandotau\/.ollama\/models\/blob directory so you\u2019ll have to go there and delete it manually. <\/p>\n<h4 class=\"wp-block-heading\">ollama push, create, cp<\/h4>\n<p>These commands here you probably won\u2019t be using much unless you will be creating models, copying models or pushing it to the model registry for others to use. <\/p>\n<h4 class=\"wp-block-heading\">ollama run<\/h4>\n<p>Now comes the moment of truth. Running the model and giving it a test drive. When you run the model, you can start interacting with it. <\/p>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama run llama3.2\n&gt;&gt;&gt; what is the capital of Germany?\nThe capital of Germany is Berlin.\n\n&gt;&gt;&gt; Send a message (\/? for help)<\/code><\/pre>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"\/><\/blockquote>\n<p>Cool right? To exit, type \/bye<\/p>\n<h2 class=\"wp-block-heading\">Extra cool features<\/h2>\n<h4 class=\"wp-block-heading\">Asking AI to summarise some text<\/h4>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama run llama3.2 \"summarise this file in 100 words: $(cat hobbit.text )\"\nHere is a 100-word summary of the file:\n\nThe Hobbit, written by J.R.R. Tolkien in 1937, is a classic children's fantasy novel that has sold over 100\nmillion copies worldwide. The story follows Bilbo Baggins, a hobbit who joins Gandalf and dwarves on a quest to\nreclaim their treasure from the dragon Smaug. The book features themes of personal growth, heroism, and warfare,\ndrawing from Tolkien's experiences in World War I and his scholarly knowledge of Germanic philology and\nmythology. Adaptations for stage, screen, radio, board games, and video games have received critical\nrecognition, cementing its legacy as a beloved children's fantasy novel.<\/code><\/pre>\n<p>Make sure that the text file is in the current directory you are in.<\/p>\n<h4 class=\"wp-block-heading\">Asking AI to interpret a picture<\/h4>\n<p>What you\u2019ll notice here is that ollama will pull the model specified first (as I didn\u2019t already have it) and then run it. <\/p>\n<pre class=\"wp-block-code\"><code>seandotau@aseandotaus-MBP ~ % ollama run llava \"What's in this image? \/Users\/seandotau\/image.png\"\npulling manifest\npulling 170370233dd5... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 4.1 GB\npulling 72d6f08a42f6... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 624 MB\npulling 43070e2d4e53... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  11 KB\npulling c43332387573... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f   67 B\npulling ed11eda7790d... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f   30 B\npulling 7c658f9561e5... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  564 B\nverifying sha256 digest\nwriting manifest\nsuccess\nAdded image '\/Users\/seandotau\/image.png'\n The image features Pikachu, a popular Pok\u00e9mon character from the franchise. It is a small electric mouse with\nyellow fur, large ears, and big round eyes. Pikachu is standing upright on its hind legs, and it appears to be\nlooking directly at the camera.<\/code><\/pre>\n<p>FYI: this was the image. <\/p>\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"980\" height=\"980\" src=\"https:\/\/www.talkcrypto.org\/blog\/wp-content\/uploads\/2025\/02\/image-2.png\" alt=\"\" class=\"wp-image-3574\" style=\"width:254px;height:auto\" srcset=\"https:\/\/www.talkcrypto.org\/blog\/wp-content\/uploads\/2025\/02\/image-2.png 980w, https:\/\/www.talkcrypto.org\/blog\/wp-content\/uploads\/2025\/02\/image-2-300x300.png 300w, https:\/\/www.talkcrypto.org\/blog\/wp-content\/uploads\/2025\/02\/image-2-150x150.png 150w, https:\/\/www.talkcrypto.org\/blog\/wp-content\/uploads\/2025\/02\/image-2-768x768.png 768w\" sizes=\"auto, (max-width: 980px) 100vw, 980px\"\/><\/figure>\n<h4 class=\"wp-block-heading\">Using curl<\/h4>\n<pre class=\"wp-block-code\"><code>curl http:\/\/localhost:11434\/api\/generate -d '{\n  \"model\": \"llama3.2\",\n  \"prompt\":\"Why is the sky blue?\"\n}'<\/code><\/pre>\n<p>Note that the Ollama API returns streaming JSON responses by default, with each response being a separate JSON object on a new line. This is known as JSON Lines (JSONL) format. If you want to see the complete response in a more readable format, you can pipe the output through <code>jq<\/code> to extract just the response content:<\/p>\n<pre class=\"wp-block-code\"><code>curl http:\/\/localhost:11434\/api\/generate \\<br\/>-H 'Content-Type: application\/json' \\<br\/>-d '{\"model\": \"llama3.2\", \"prompt\": \"Why is the sky blue?\"}' \\<br\/>| jq -r '.response'<\/code><\/pre>\n<p>The streaming behavior is by design \u2013 it allows the API to send partial responses as they\u2019re generated, rather than waiting for the complete response. If you need to disable streaming, you can add <code>\"stream\": false<\/code> to your JSON request:<\/p>\n<pre class=\"wp-block-code\"><code>curl http:\/\/localhost:11434\/api\/generate \\<br\/>-H 'Content-Type: application\/json' \\<br\/>-d '{\"model\": \"llama3.2\", \"prompt\": \"Why is the sky blue?\", \"stream\": false}'<\/code><\/pre>\n<nav class=\"navigation post-navigation\" aria-label=\"Continue Reading\">\n<h2 class=\"screen-reader-text\">Continue Reading<\/h2>\n<\/nav><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Ollama is a free tool that allows you to runs LLMs (Large Language Models) directly on your local machine. This is convenient for AI developers, researchers, or just experimenting and learning about AI. There is a lot to grasp initially so the best thing to do is just to jump in, set it up and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":330910,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[96697],"tags":[2737,10954,74074,3061],"dealstore":[],"offerexpiration":[],"class_list":["post-330909","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-beginners","tag-crypto","tag-ollama","tag-talk"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ollama for beginners \u2013 Talk Crypto - Som2ny Network<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fivemor.com\/?p=330909\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ollama for beginners \u2013 Talk Crypto - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"Ollama is a free tool that allows you to runs LLMs (Large Language Models) directly on your local machine. 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