{"id":55969,"date":"2025-01-29T17:53:21","date_gmt":"2025-01-29T17:53:21","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/how-to-run-deepseek-models-locally-in-5-minutes\/"},"modified":"2025-01-29T17:53:21","modified_gmt":"2025-01-29T17:53:21","slug":"how-to-run-deepseek-models-locally-in-5-minutes","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=55969","title":{"rendered":"How to Run DeepSeek Models Locally in 5 Minutes?"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div id=\"article-start\">\n<p>DeepSeek has taken the AI community by storm, with 68 models available on Hugging Face as of today. This family of open-source models can be accessed through Hugging Face or Ollama, while DeepSeek-R1 and DeepSeek-V3 can be directly used for inference via <a href=\"https:\/\/chat.deepseek.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">DeepSeek Chat<\/a>. In this blog, we\u2019ll explore DeepSeek\u2019s model lineup and guide you through running these models using Google Colab and Ollama.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-overview-of-deepseek-models\">Overview of DeepSeek Models<\/h2>\n<p>DeepSeek offers a diverse range of models, each optimized for different tasks. Below is a breakdown of which model suits your needs best:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>For Developers &amp; Programmers:<\/strong> The <strong>DeepSeek-Coder<\/strong> and <strong>DeepSeek-Coder-V2<\/strong> models are designed for <strong>coding tasks<\/strong> such as writing and debugging code.<\/li>\n<li><strong>For General Users:<\/strong> The <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2024\/12\/deepseek-v3\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>DeepSeek-V3<\/strong> <\/a>model is a <strong>versatile option<\/strong> capable of handling a wide range of queries, from <strong>casual conversations<\/strong> to <strong>complex content generation<\/strong>.<\/li>\n<li><strong>For Researchers &amp; Advanced Users:<\/strong> The <strong><a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/01\/deepseek-r1\/\" target=\"_blank\" rel=\"noreferrer noopener\">DeepSeek-R1<\/a><\/strong> model specializes in <strong>advanced reasoning and logical analysis<\/strong>, making it ideal for <strong>problem-solving and research applications<\/strong>.<\/li>\n<li><strong>For Vision Tasks:<\/strong> The <strong>DeepSeek-Janus<\/strong> family and <strong>DeepSeek-VL<\/strong> models are <strong>tailored for multimodal tasks<\/strong>, including <strong>image generation and processing<\/strong>.<\/li>\n<\/ul>\n<p>Also Read: <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/01\/ai-application-with-deepseek-v3\/\" target=\"_blank\" rel=\"noreferrer noopener\">Building AI Application with DeepSeek-V3<\/a><\/p>\n<h2 class=\"wp-block-heading\" id=\"h-running-deepseek-r1-on-ollama\">Running DeepSeek R1 on Ollama<\/h2>\n<h3 class=\"wp-block-heading\" id=\"h-step-1-install-ollama\">Step 1: Install Ollama<\/h3>\n<p>To run DeepSeek models on your local machine, you need to install Ollama:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Download Ollama:<\/strong> <a href=\"https:\/\/ollama.com\/download\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Click here to download<\/a><\/li>\n<li><strong>For Linux users:<\/strong> Run the following command in your terminal:bashCopyEdit<\/li>\n<\/ul>\n<pre class=\"wp-block-code\"><code>curl -fsSL https:\/\/ollama.com\/install.sh | sh<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-step-2-pull-the-deepseek-r1-model\">Step 2: Pull the DeepSeek R1 Model<\/h3>\n<p>Once Ollama is installed, open your Command Line Interface (CLI) and pull the model:<\/p>\n<pre class=\"wp-block-code\"><code>ollama pull deepseek-r1<\/code><\/pre>\n<p>You can explore other DeepSeek models available on Ollama here: <a href=\"https:\/\/ollama.com\/search\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Ollama Model Search<\/a>. <\/p>\n<figure class=\"wp-block-image size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1351\" height=\"125\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal.webp\" alt=\"\" class=\"wp-image-218297\" style=\"width:872px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal.webp 1351w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-300x28.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-768x71.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-150x14.webp 150w\" sizes=\"(max-width: 1351px) 100vw, 1351px\"\/><\/figure>\n<p>This step may take some time, so wait for the download to complete.<\/p>\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1545\" height=\"254\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-2.webp\" alt=\"\" class=\"wp-image-218298\" style=\"width:872px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-2.webp 1545w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-2-300x49.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-2-768x126.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-2-1536x253.webp 1536w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Terminal-2-150x25.webp 150w\" sizes=\"auto, (max-width: 1545px) 100vw, 1545px\"\/><\/figure>\n<h3 class=\"wp-block-heading\" id=\"h-step-3-run-the-model-locally\">Step 3: Run the Model Locally<\/h3>\n<p>Once the model is downloaded, you can run it using the command:<\/p>\n<pre class=\"wp-block-code\"><code>ollama run deepseek-r1:1.5b<\/code><\/pre>\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"386\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Step-3-2.webp\" alt=\"\" class=\"wp-image-218301\" style=\"width:872px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Step-3-2.webp 1000w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Step-3-2-300x116.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Step-3-2-768x296.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/Step-3-2-150x58.webp 150w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\"\/><\/figure>\n<p>The model is now available to use on the local machine and is answering my questions without any hiccups.\u00a0<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-running-deepseek-janus-pro-1b-on-google-colab\">Running DeepSeek-Janus-Pro-1B on Google Colab<\/h2>\n<p>In this section, we\u2019ll try out DeepSeek-Janus-Pro-1B using Google Colab. Before starting, make sure to set the runtime to T4 GPU for optimal performance.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-step-1-clone-the-deepseek-janus-repository\">Step 1: Clone the DeepSeek-Janus Repository<\/h3>\n<p>Run the following command in a Colab notebook:<\/p>\n<pre class=\"wp-block-code\"><code>!git clone https:\/\/github.com\/deepseek-ai\/Janus.git<\/code><\/pre>\n<p>\ud83d\udd17 Explore more DeepSeek models on GitHub: <a href=\"https:\/\/github.com\/deepseek-ai\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">DeepSeek AI GitHub Repository<\/a><\/p>\n<h3 class=\"wp-block-heading\" id=\"h-step-2-install-dependencies\">Step 2: Install Dependencies<\/h3>\n<p>Navigate to the cloned directory and install the required packages:<\/p>\n<pre class=\"wp-block-code\"><code>%cd Janus\n!pip install -e .\n!pip install flash-attn<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-step-3-load-the-model-and-move-it-to-gpu\"><strong>Step 3: Load the Model and Move It to GPU<\/strong><\/h3>\n<p>Now, we\u2019ll import necessary libraries and load the model onto <strong>CUDA (GPU)<\/strong>:<\/p>\n<pre class=\"wp-block-code\"><code>import torch\nfrom transformers import AutoModelForCausalLM\nfrom janus.models import MultiModalityCausalLM, VLChatProcessor\nfrom janus.utils.io import load_pil_images\n\n# Define model path\nmodel_path = \"deepseek-ai\/Janus-Pro-1B\"\n\n# Load processor and tokenizer\nvl_chat_processor = VLChatProcessor.from_pretrained(model_path)\ntokenizer = vl_chat_processor.tokenizer\n\n# Load model with remote code enabled\nvl_gpt = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True)\n\n# Move model to GPU\nvl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval()\n<\/code><\/pre>\n<h3 class=\"wp-block-heading\" id=\"h-step-4-pass-an-image-for-processing\">Step 4: Pass an Image for Processing<\/h3>\n<p>Now, let\u2019s pass an <strong>image<\/strong> to the model and generate a response.<\/p>\n<p><strong>\ud83d\udcf7 Input Image<\/strong><\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"872\" height=\"663\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/image.webp\" alt=\"Run DeepSeek Models Locally\" class=\"wp-image-218302\" style=\"width:430px;height:auto\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/image.webp 872w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/image-300x228.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/image-768x584.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/01\/image-150x114.webp 150w\" sizes=\"auto, (max-width: 872px) 100vw, 872px\"\/><\/figure>\n<\/div>\n<h4 class=\"wp-block-heading\"><strong>Initializing the Prompt and System Role<\/strong><\/h4>\n<pre class=\"wp-block-code\"><code>image_path = \"\/content\/snapshot.png\"\nquestion = \"What's in the image?\"\n\nconversation = [\n    {\"role\": \"\", \"content\": f\"<image_placeholder>\\n{question}\", \"images\": [image_path]},\n    {\"role\": \"\", \"content\": \"\"}\n]<\/image_placeholder><\/code><\/pre>\n<h4 class=\"wp-block-heading\"><strong>Processing the Input<\/strong><\/h4>\n<pre class=\"wp-block-code\"><code># Load image\npil_images = load_pil_images(conversation)\n\n# Prepare inputs for the model\nprepare_inputs = vl_chat_processor(conversations=conversation, images=pil_images, force_batchify=True).to(vl_gpt.device)\ninputs_embeds = vl_gpt.prepare_inputs_embeds(**prepare_inputs)\n\n# Generate response\noutputs = vl_gpt.language_model.generate(\n    inputs_embeds=inputs_embeds,\n    attention_mask=prepare_inputs.attention_mask,\n    pad_token_id=tokenizer.eos_token_id,\n    bos_token_id=tokenizer.bos_token_id,\n    eos_token_id=tokenizer.eos_token_id,\n    max_new_tokens=512,\n    do_sample=False,\n    use_cache=True,\n)\n\n# Decode and print response\nanswer = tokenizer.decode(outputs[0].cpu().tolist(), skip_special_tokens=True)\nprint(f\"{prepare_inputs['sft_format'][0]}\", answer)<\/code><\/pre>\n<p><strong>Output:<\/strong><\/p>\n<p>:<br \/>What\u2019s in the image?<\/p>\n<p>: The image features a section titled \u201cLatest Articles\u201d with a focus on a blog post. The blog post discusses \u201cHow to Access DeepSeek Janus Pro 7B?\u201d and highlights its multimodal AI capabilities in reasoning, text-to-image, and instruction-following. The image also includes the DeepSeek logo (a dolphin) and a hexagonal pattern in the background.<\/p>\n<p><em>We can see that the model is able to read the text in the image and also spot the Logo of DeepSeek in the image. Initial impressions, it is performing well.<\/em><\/p>\n<p>Also Read: <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/01\/deepseek-janus-pro-7b\/\" target=\"_blank\" rel=\"noreferrer noopener\">How to Access DeepSeek Janus Pro 7B?<\/a><\/p>\n<h2 class=\"wp-block-heading\" id=\"h-conclusion-nbsp\">Conclusion\u00a0<\/h2>\n<p>DeepSeek is rapidly emerging as a powerful force in AI, offering a wide range of models for developers, researchers, and general users. As it competes with industry giants like OpenAI and Gemini, its cost-effective and high-performance models are likely to gain widespread adoption.<\/p>\n<p>The applications of DeepSeek models are limitless, ranging from coding assistance to advanced reasoning and multimodal capabilities. With seamless local execution via Ollama and cloud-based inference options, DeepSeek is poised to become a game-changer in AI research and development.<\/p>\n<p>If you have any questions or face issues, feel free to ask in the comments section!<\/p>\n<div class=\"border-top py-3 author-info my-4\">\n<div class=\"author-card d-flex align-items-center\">\n<div class=\"flex-shrink-0 overflow-hidden\">\n                                    <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/author\/mounish12439\/\" class=\"text-decoration-none active-avatar\"><br \/>\n                                                                       <img decoding=\"async\" src=\"https:\/\/av-eks-lekhak.s3.amazonaws.com\/media\/lekhak-profile-images\/converted_image_ZFxQ96b.webp\" width=\"48\" height=\"48\" alt=\"Mounish V\" loading=\"lazy\" class=\"rounded-circle\"\/><\/p>\n<p>                                <\/a>\n                                <\/div>\n<\/p><\/div>\n<p>I&#8217;m a tech enthusiast, graduated from Vellore Institute of Technology. I&#8217;m working as a Data Science Trainee right now. I am very much interested in Deep Learning and Generative AI.                                         <\/p>\n<\/p><\/div>\n<\/p><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>DeepSeek has taken the AI community by storm, with 68 models available on Hugging Face as of today. This family of open-source models can be accessed through Hugging Face or Ollama, while DeepSeek-R1 and DeepSeek-V3 can be directly used for inference via DeepSeek Chat. In this blog, we\u2019ll explore DeepSeek\u2019s model lineup and guide you [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":51392,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12033],"tags":[29466,31984,11610,8558,2753],"dealstore":[],"offerexpiration":[],"class_list":["post-55969","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-deepseek","tag-locally","tag-minutes","tag-models","tag-run"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Run DeepSeek Models Locally in 5 Minutes? - 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=55969\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Run DeepSeek Models Locally in 5 Minutes? - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"DeepSeek has taken the AI community by storm, with 68 models available on Hugging Face as of today. 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- Som2ny Network","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fivemor.com\/?p=55969","og_locale":"en_US","og_type":"article","og_title":"How to Run DeepSeek Models Locally in 5 Minutes? - Som2ny Network","og_description":"DeepSeek has taken the AI community by storm, with 68 models available on Hugging Face as of today. This family of open-source models can be accessed through Hugging Face or Ollama, while DeepSeek-R1 and DeepSeek-V3 can be directly used for inference via DeepSeek Chat. In this blog, we\u2019ll explore DeepSeek\u2019s model lineup and guide you [&hellip;]","og_url":"https:\/\/fivemor.com\/?p=55969","og_site_name":"Som2ny Network","article_published_time":"2025-01-29T17:53:21+00:00","og_image":[{"width":872,"height":493,"url":"https:\/\/fivemor.com\/wp-content\/uploads\/2025\/01\/DeepSeek-R1-OpenAIs-o1-Biggest-Competitor-is-HERE.webp.webp","type":"image\/webp"}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"Written by":"admin","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/fivemor.com\/?p=55969#article","isPartOf":{"@id":"https:\/\/fivemor.com\/?p=55969"},"author":{"name":"admin","@id":"https:\/\/fivemor.com\/#\/schema\/person\/b85e3c3dc0e1daea076524dc8810c371"},"headline":"How to Run DeepSeek Models Locally in 5 Minutes?","datePublished":"2025-01-29T17:53:21+00:00","mainEntityOfPage":{"@id":"https:\/\/fivemor.com\/?p=55969"},"wordCount":666,"commentCount":0,"publisher":{"@id":"https:\/\/fivemor.com\/#organization"},"image":{"@id":"https:\/\/fivemor.com\/?p=55969#primaryimage"},"thumbnailUrl":"https:\/\/fivemor.com\/wp-content\/uploads\/2025\/01\/DeepSeek-R1-OpenAIs-o1-Biggest-Competitor-is-HERE.webp.webp","keywords":["DeepSeek","Locally","Minutes","Models","Run"],"articleSection":["Analytics"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/fivemor.com\/?p=55969#respond"]}]},{"@type":"WebPage","@id":"https:\/\/fivemor.com\/?p=55969","url":"https:\/\/fivemor.com\/?p=55969","name":"How to Run DeepSeek Models Locally in 5 Minutes? 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