# Local DeepSeek with Ollama: inspect chat and API access separately Keep the selected model, running server and client response identifiable before connecting another application. [HTML](https://lukejbyrne.com/library/guides/pcpgzd6a87a/) Content language: en Author: Luke Byrne Video published: 2025-01-27 Guide published: 2026-11-02 [Watch the video](https://www.youtube.com/watch?v=pCPgZd6A87A) Video language: English ## Start from the retained local guide The January 2025 source identifies a local DeepSeek-R1 chatbot and API lesson. Its retained guide is https://www.lukejbyrne.com/c/local-llm-ollama. The description is brief; the chapter list supplies installation, terminal use, API integration and model comparison, rather than a full reproduced command sequence. Installation begins at 1:11 and terminal use at 2:33. Choose a model your machine can run and a small prompt whose answer you can inspect. The title’s any-model and free language is historical framing, not proof that every model fits every computer or that local hardware has no cost. 1. Follow the recorded installation and model setup. 2. Confirm which model is actually selected. 3. Inspect a terminal reply before introducing another client. ## Keep the API connection distinct from chat API integration begins at 6:03. A model answering in the terminal does not prove that an application is connected to the same running service. Check the endpoint and model configuration supplied by the demonstrated route rather than guessing a port or address. Use a small request through the client and inspect its response and errors. Keep that result with the terminal test so you can distinguish a model problem from a client connection problem. The source does not provide exact API request code in the description, so none is invented here. 1. Identify the actual local service and its reported endpoint. 2. Send one small client request through the documented route. 3. Compare the returned answer and any error with the intended model and input. ## Compare model outputs and data paths Different models are tested at 8:03 and output analysed at 9:18. Give them the same bounded task and compare the result against what you need, including response quality and whether your machine can operate the chosen setup usefully. Keep the model name with each output. The description includes strong privacy language in alternative titles. Local model execution can be one part of a private workflow, but inspect the whole client for other network requests or connected services before making a broader claim. The useful outcome is a working, understandable chat or API path, not a universal benchmark or blanket guarantee about every application’s data handling. ## The takeaway Verify terminal and API routes independently, then compare models with the same input and an inspectable data path. ## Workflow resources - [ailuke.short.gy](https://ailuke.short.gy/pCPgZd6A87A1) - [ailuke.short.gy](https://ailuke.short.gy/pCPgZd6A87A2) - [lukejbyrne.com](https://www.lukejbyrne.com/c/local-llm-ollama) - [datacamp.pxf.io](https://datacamp.pxf.io/yqr3jb) - [newsletter.lukejbyrne.com](https://newsletter.lukejbyrne.com) - [linkedin.com](https://linkedin.com/in/lukejbyrne) - [datacamp.pxf.io](https://datacamp.pxf.io/gO6WRB) - [datacamp.pxf.io](https://datacamp.pxf.io/XmnX4a) - [datacamp.pxf.io](https://datacamp.pxf.io/Bny25L) - [datacamp.pxf.io](https://datacamp.pxf.io/aOAWNZ) - [datacamp.pxf.io](https://datacamp.pxf.io/AP3Eg1) - [datacamp.pxf.io](https://datacamp.pxf.io/GKVZbk) - [datacamp.pxf.io](https://datacamp.pxf.io/Z6KyV1) ## Chapters - [0:00 Introduction to local LLMs](https://www.youtube.com/watch?v=pCPgZd6A87A&t=0s) - [1:11 Installing and setup](https://www.youtube.com/watch?v=pCPgZd6A87A&t=71s) - [2:33 Running in the terminal](https://www.youtube.com/watch?v=pCPgZd6A87A&t=153s) - [6:03 API integration](https://www.youtube.com/watch?v=pCPgZd6A87A&t=363s) - [8:03 Testing different models](https://www.youtube.com/watch?v=pCPgZd6A87A&t=483s) - [9:18 Model output analysis](https://www.youtube.com/watch?v=pCPgZd6A87A&t=558s) ## Sources and limitations Written companion prepared 2 November 2026 from this exact published video description and its chapter sequence. The full recording was not independently watched or transcribed for this article, and the products and reported results were not retested. Checklists are editorial adaptations of the documented workflow. Model availability, interfaces, prices and offers may have changed since publication; use the retained original resources for current requirements. [Original video](https://www.youtube.com/watch?v=pCPgZd6A87A)