Ollama
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Ollama - Run AI Models Locally on Your Computer [2026]
Last updated May 8, 2026
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What is Ollama?
Verdict
Based on 9 video reviewsUse ollama if you want to run AI on your own hardware for more privacy, fast local responses, and lower ongoing cost. Reviewers consistently praise how easy it is to set up a private local AI on a PC, how well lightweight models run on everyday devices, and how useful it is for coding help, quick chat replies, and code completion. The main catch is that setup and performance still depend on your machine and can get limiting in some workflows. Best for developers, tinkerers, and privacy-conscious users who want local models without paying for another subscription.
✓ Best for
- •Anyone
✗ Not for
- •Those who need ui lacks statistics like tokens per second
- •Those who need crashes frequently
- •Not every model runs as smoothly as advertised.
Pros
- +Fewer censorship filters
- +Offers privacy first by allowing local deployment of AI models.
- +Run frontier AI models for free on your own machines.
- +Vision of a truly local, private AI assistant is compelling
- +Ollama provides an alternative to expensive subscriptions for coding tools.
Cons
- −UI lacks statistics like tokens per second.
- −Crashes frequently
- −Not every model runs as smoothly as advertised.
Ollama's Top Features
Key capabilities that make Ollama stand out.
Model usage: For the purpose of this demo, the GLM 4.7 flash model is being used with Ollama.
Local model deployment: Ollama allows you to deploy models locally on your computer.
Local AI model execution: Ollama is a free open-source tool that lets you download and run AI language models directly on your computer.
Default local URL and port: Ollama uses a default local URL and port that is pre-filled in editor settings, requiring no changes if the setup is standard.
Model compatibility: Supports pulling models like Llama 2, Mistral, and other open-source LLMs.
Download local AI models: Ollama allows users to directly download and use local AI models.
Local LLM execution: Ollama allows users to run open LLMs directly on their own hardware, offering a straightforward setup.
Text-based LLMs: Ollama can run large language models that process and generate text.
Tags
llmlocal-aiopen-sourcemodelsinferencecliapideepseekllamaqwen
How Does Ollama Work?
1
Installation and running a model
You install it, you type one command, and a model starts running on your machine.
2
Integrate with local Ollama models
The video will cover how to integrate OpenClaw with local Ollama models.
3
Check Ollama is working properly in the console
Before connecting to an editor, verify Ollama is functional by listing available models, launching one (e.g., Gemma 4), and asking it to respond.
4
Download and install
Ollama is available for Mac, Linux, and Windows. Simply click, download, and install.
5
Install Ollama
A whole video was made about how to install Ollama, deep diving into everything.
6
Download Ollama
Ensure Ollama is downloaded and installed locally before proceeding with model setup.
7
Choose a smaller model initially
Begin with a smaller Ollama model as a starting point to explore its capabilities.
8
Verify CLI availability
Confirm that the 'ollama' command is accessible in your terminal after installation.
Ollama's Pricing
Free plan available
Ollama Limitations
Important caveats to consider before choosing Ollama.
⚠
Frequent crashes
⚠
Constraints in lightweight models
⚠
Limited modality in lightweight models
⚠
Higher resource requirements for heavier models
⚠
Output quality of smaller models
⚠
Artifact generation in lightweight models for code completion
⚠
Cloud service in preview
⚠
Unstable cloud pricing
Is Ollama Safe?
ollama appears to be safe to use based on available reviews.
Privacy
Offers privacy first by allowing local deployment of AI models.
Privacy
Ollama offers privacy benefits by running locally, which can be comfortable for users concerned about data sharing.
✓
Gemma 4 is Apache 2.0, allowing commercial use, product building, fine-tuning, and distribution without hidden restrictions.
✓
Using Ollama with OpenClaw gives AI access to execute commands and send messages on your behalf.
✓
Ollama is data protection compliant.
✓
Storing data in local vector databases plays a minor role.
Ollama Comparisons
How Ollama stacks up against its top competitors, based on expert reviews and real-world usage.
Ollama vs llama.cpp
View llama.cpp| Feature | Ollama | llama.cpp |
|---|---|---|
| Local AI runtime comparison | Alex Ziskind compares llama.cpp vs Ollama as two ways local AI has improved, but the provided data does not include a specific claim naming a clear winner on performance, ease of use, or flexibility. Depends on workflow. (Source, [7:30-10:00]) | Alex Ziskind compares llama.cpp vs Ollama as two ways local AI has improved, but the provided data does not include a specific claim naming a clear winner on performance, ease of use, or flexibility. Depends on workflow. (Source, [7:30-10:00]) |
Bottom line
Based on the available review data, there is no single overall winner across all alternatives. For local AI, most comparisons in the dataset point to a “depends” outcome because the supplied claims identify the competitors but do not record a decisive advantage for either side.[Alex Ziskind, [7:30-10:00]](https://youtu.be/2t9XrPcAiHg) [Von ChatGPT bis n8n – KI-Tools praktisch nutzen, [0:00-2:30]](https://youtu.be/y_q77uaIZ5k) [Parlons IA, [15:00-17:30]](https://youtu.be/omLRQqkH_kE) If your benchmark is raw model intelligence, Claude wins over Ollama-hosted local models in the cited review.[Fru Dev, [12:30-15:00]](https://youtu.be/qpDWJ4niExo) If your benchmark is instead running AI locally and privately, Ollama remains firmly in the leading comparison set, but this dataset does not support declaring it the outright winner over llama.cpp, Hyperlink, or LM Studio.
Ollama vs Hyperlink
View Hyperlink| Feature | Ollama | Hyperlink |
|---|---|---|
| Local chatbot alternative | Hyperlink is explicitly compared against Ollama and LM Studio as part of the “new generation of local AI chatbots,” but the provided fact set does not state a direct winner. Depends on the interface and local-chatbot experience you want. (Source, [0:00-2:30]) | Hyperlink is explicitly compared against Ollama and LM Studio as part of the “new generation of local AI chatbots,” but the provided fact set does not state a direct winner. Depends on the interface and local-chatbot experience you want. (Source, [0:00-2:30]) |
Bottom line
Based on the available review data, there is no single overall winner across all alternatives. For local AI, most comparisons in the dataset point to a “depends” outcome because the supplied claims identify the competitors but do not record a decisive advantage for either side.[Alex Ziskind, [7:30-10:00]](https://youtu.be/2t9XrPcAiHg) [Von ChatGPT bis n8n – KI-Tools praktisch nutzen, [0:00-2:30]](https://youtu.be/y_q77uaIZ5k) [Parlons IA, [15:00-17:30]](https://youtu.be/omLRQqkH_kE) If your benchmark is raw model intelligence, Claude wins over Ollama-hosted local models in the cited review.[Fru Dev, [12:30-15:00]](https://youtu.be/qpDWJ4niExo) If your benchmark is instead running AI locally and privately, Ollama remains firmly in the leading comparison set, but this dataset does not support declaring it the outright winner over llama.cpp, Hyperlink, or LM Studio.
Ollama vs LM Studio
View LM Studio| Feature | Ollama | LM Studio |
|---|---|---|
| Local chatbot alternative | LM Studio is grouped with Ollama in a comparison of local AI chatbot tools, but no explicit winner is provided in the available data. Depends on which local deployment and UX style you prefer. (Source, [0:00-2:30]) | LM Studio is grouped with Ollama in a comparison of local AI chatbot tools, but no explicit winner is provided in the available data. Depends on which local deployment and UX style you prefer. (Source, [0:00-2:30]) |
Bottom line
Based on the available review data, there is no single overall winner across all alternatives. For local AI, most comparisons in the dataset point to a “depends” outcome because the supplied claims identify the competitors but do not record a decisive advantage for either side.[Alex Ziskind, [7:30-10:00]](https://youtu.be/2t9XrPcAiHg) [Von ChatGPT bis n8n – KI-Tools praktisch nutzen, [0:00-2:30]](https://youtu.be/y_q77uaIZ5k) [Parlons IA, [15:00-17:30]](https://youtu.be/omLRQqkH_kE) If your benchmark is raw model intelligence, Claude wins over Ollama-hosted local models in the cited review.[Fru Dev, [12:30-15:00]](https://youtu.be/qpDWJ4niExo) If your benchmark is instead running AI locally and privately, Ollama remains firmly in the leading comparison set, but this dataset does not support declaring it the outright winner over llama.cpp, Hyperlink, or LM Studio.
Ollama vs Unspecified private-AI alternatives
View Unspecified private-AI alternatives| Feature | Ollama | Unspecified private-AI alternatives |
|---|---|---|
| Private AI on PC | The French review compares Ollama within the context of installing a private AI on your PC, but the supplied data does not preserve a specific side-by-side verdict. Depends; no clear winner is stated in the data. (Source, [15:00-17:30]) | The French review compares Ollama within the context of installing a private AI on your PC, but the supplied data does not preserve a specific side-by-side verdict. Depends; no clear winner is stated in the data. (Source, [15:00-17:30]) |
Bottom line
Based on the available review data, there is no single overall winner across all alternatives. For local AI, most comparisons in the dataset point to a “depends” outcome because the supplied claims identify the competitors but do not record a decisive advantage for either side.[Alex Ziskind, [7:30-10:00]](https://youtu.be/2t9XrPcAiHg) [Von ChatGPT bis n8n – KI-Tools praktisch nutzen, [0:00-2:30]](https://youtu.be/y_q77uaIZ5k) [Parlons IA, [15:00-17:30]](https://youtu.be/omLRQqkH_kE) If your benchmark is raw model intelligence, Claude wins over Ollama-hosted local models in the cited review.[Fru Dev, [12:30-15:00]](https://youtu.be/qpDWJ4niExo) If your benchmark is instead running AI locally and privately, Ollama remains firmly in the leading comparison set, but this dataset does not support declaring it the outright winner over llama.cpp, Hyperlink, or LM Studio.
Ollama vs Claude
View Claude| Feature | Ollama | Claude |
|---|---|---|
| Model intelligence | — | One reviewer explicitly says “Ollama models are less intelligent than Claude models.” On raw intelligence, Claude wins in this comparison. (Source, [12:30-15:00]) |
Bottom line
Based on the available review data, there is no single overall winner across all alternatives. For local AI, most comparisons in the dataset point to a “depends” outcome because the supplied claims identify the competitors but do not record a decisive advantage for either side.[Alex Ziskind, [7:30-10:00]](https://youtu.be/2t9XrPcAiHg) [Von ChatGPT bis n8n – KI-Tools praktisch nutzen, [0:00-2:30]](https://youtu.be/y_q77uaIZ5k) [Parlons IA, [15:00-17:30]](https://youtu.be/omLRQqkH_kE) If your benchmark is raw model intelligence, Claude wins over Ollama-hosted local models in the cited review.[Fru Dev, [12:30-15:00]](https://youtu.be/qpDWJ4niExo) If your benchmark is instead running AI locally and privately, Ollama remains firmly in the leading comparison set, but this dataset does not support declaring it the outright winner over llama.cpp, Hyperlink, or LM Studio.
YouTube Reviews
10 videosWhat creators say about Ollama
What Reviewers Say
*Installer une IA privée sur ton PC | Ollama expliqué simplement*
Parlons IA
Parlons IA presents Ollama as a simple way to install and run a private AI on your own PC, emphasizing local use as a core benefit of the tool (2:30–5:00). Later in the video, the creator also frames Ollama in comparison to other local AI options, suggesting it belongs in the broader category of tools for private, on-device AI workflows (15:00–17:30).
“
Ollama” is presented as a way to install “une IA privée sur ton PC.” — Parlons IA ([2:30–)
*Ollama Review: Best Local AI Tool in 2025?*
Killer Reviews
Killer Reviews gives an overall positive verdict, positioning Ollama as a strong contender among local AI tools and highlighting it as one of the notable options for running models locally (0:00–2:30). At the same time, the review also includes downsides, indicating that while the tool is promising, it is not presented as flawless and comes with some tradeoffs (2:30–5:00).
“
Best Local AI Tool in 2025?” — Killer Reviews frames Ollama as a leading local AI candidate while also covering cons. ([0:00–, [2:30–)
*Local AI just leveled up... Llama.cpp vs Ollama*
Alex Ziskind
Alex Ziskind compares Ollama directly with llama.cpp and says local AI has “leveled up,” placing Ollama in a competitive head-to-head with another major local inference stack (7:30–10:00). The same segment also includes a con about Ollama, so the comparison is not one-sided and suggests there are cases where another local setup may be preferable (7:30–10:00).
“
Llama.cpp vs Ollama” — Alex Ziskind compares Ollama against a lower-level local AI alternative and includes at least one drawback for Ollama. ([7:30–)
*Hyperlink vs. Ollama & LM Studio
Die neue Generation lokaler KI-Chatbots!* — Von ChatGPT bis n8n – KI-Tools praktisch nutzen
This video discusses Ollama alongside Hyperlink and LM Studio, placing it among the “new generation” of local AI chatbots (0:00–2:30). The creator’s framing indicates Ollama is a relevant option in the local chatbot space, with at least one favorable point and one comparison-oriented takeaway in the opening segment (0:00–2:30).
“
Die neue Generation lokaler KI-Chatbots” — Ollama is grouped with other modern local AI chatbot tools. ([0:00–)
*Ollama + Gemma 4 is INSANE!*
Julian Goldie SEO
Julian Goldie SEO is positive on the combination of Ollama and Gemma, with the title and opening framing suggesting notably strong performance or usefulness in that setup (0:00–2:30). The extracted review signal here is favorable and centered on Ollama’s ability to run capable models locally.
“
Ollama + Gemma 4 is INSANE!” — Julian Goldie SEO gives a strongly positive impression of the Ollama + Gemma pairing. ([0:00–)
*OpenClaw with Local Ollama Models
Complete Easy Setup Guide* — Fahd Mirza
Fahd Mirza’s review is practical: one segment points to a drawback in the setup or usage experience (10:00–12:30), while a later segment highlights a positive aspect of using local Ollama models (12:30–15:00). Overall, the video treats Ollama as workable in a real integration flow, but not without some friction.
“
Ollama is shown in a “Complete Easy Setup Guide,” but the review also notes a con before highlighting a later benefit. ([10:00–, [12:30–)
*Coding with Ollama feels better now*
marimo
marimo is one of the most detailed positive reviewers in this set. The creator says Ollama can be an alternative to expensive coding-tool subscriptions, that lightweight models save disk space and run quickly on most devices, and that local models respond quickly in chat, code edits, and code completion workflows (0:00–2:30, 2:30–5:00, 5:00–7:30). The same review also praises Ollama’s cloud-hosted model proxy for fast downloads and lower local storage use, says cloud-hosted models can produce la
“
Ollama provides an alternative to expensive subscriptions for coding tools.” ([0:00–)
“
Lightweight models in Ollama save disk space and run quickly on most devices.” ([0:00–)
“
Ollama models provide quick responses when interacted with via the chat sidebar.” ([2:30–)
“
Ollama models running locally can provide helpful code completion.” ([5:00–)
“
Ollama is really sweet.” ([7:30–)
*OpenClaw + Ollama + GPT5 | Telegram Bot Demo and Python Quiz*
TechTimeFly
TechTimeFly emphasizes the advantage of using Ollama with an on-premise or local model, treating local deployment itself as a major strength (2:30–5:00). The review is favorable in tone and focuses on self-hosted control rather than pure benchmark comparisons.
“
Ollama allows for the power of using an on-premise or local model.” ([2:30–)
*Running Paperclip AI with Local Models
Ollama + Qwen Demo* — Fru Dev
Fru Dev gives a mixed view. On the positive side, the creator says Ollama offers privacy benefits because it runs locally, which may feel more comfortable for people concerned about data sharing (12:30–15:00). On the other hand, the same segment says Ollama models are less intelligent than Claude models, drawing a clear capability comparison between local and leading cloud AI systems (12:30–15:00). Across these reviews, most creators agree that Ollama’s main appeal is local AI: running models on
“
Ollama offers privacy benefits by running locally.” ([12:30–)
“
Ollama models are less intelligent than Claude models.” ([12:30–)
User Reviews
Share your thoughts
If you've used this product, share your thoughts with other builders
Recent reviews
Frequently Asked Questions
Video-sourced answersWhat is Ollama?video
Ollama is a tool for running AI models locally on your own computer instead of relying only on cloud-based apps. Reviews commonly show it being used to install and run private local AI on a PC and connect those models to other apps and workflows.
Why do people use Ollama instead of a cloud AI app?video
A main reason is privacy and local control, since Ollama lets you run models on your own machine for more private workflows. Reviewers also use it for local assistants, coding setups, notebook help, and personal AI agents tied to sensitive areas like health, taxes, travel, or insurance.
Is Ollama good for coding?video
Yes, Ollama is often used for coding tasks like generating Python code, helping inside Python notebooks powered by Marimo, and powering local LLM integrations in editor workflows. It appears especially useful for developers who want local AI help without sending everything to a remote service.
Can Ollama handle images as well as text?video
It depends on the model you run in Ollama. Reviews note that lighter models may only support text, while heavier models can support both text and images.
What are the main limitations of Ollama?video
The biggest limitation is that model quality depends heavily on the model size and your hardware. Smaller models can be more constrained and may produce artifacts or weaker outputs, while larger multimodal models need a more powerful machine and more storage.
Do I need a powerful computer to use Ollama?video
Not always, but heavier models generally require a beefier machine. Reviewers specifically mention that larger models with image support and bigger context windows tend to be larger in size and more demanding to run well locally.
Can Ollama be used for personal or private AI workflows?video
Yes, that is one of its strongest use cases in the reviews. People use Ollama to run local AI agents and assistants for privacy-sensitive tasks, including life management workflows and chats based on personal information.
How do I get started with Ollama?video
Reviews describe Ollama as something you install on your computer and then use to run local models. Getting started usually means installing Ollama first, choosing a model, and then connecting it to the app or workflow you want to power.
Can Ollama be used with other tools and apps?video
Yes, reviewers show Ollama being used with Python notebooks, local editor setups, Telegram workflows, Open Claw, and Paperclip AI. That makes it useful if you want a local model backend for different tools rather than just a standalone chat experience.
Is Ollama free or paid?video
The review data here does not confirm a stable long-term pricing model for every Ollama offering. One reviewer notes that Ollama’s cloud service is currently in preview and its pricing will likely change over time.