<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://anmolchaure.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://anmolchaure.github.io/" rel="alternate" type="text/html" /><updated>2026-07-20T16:45:53+00:00</updated><id>https://anmolchaure.github.io/feed.xml</id><title type="html">Anmol Chaure</title><subtitle>Research Technician for Environmental Health Research Group, CULS, Prague</subtitle><author><name>Anmol Chaure</name></author><entry><title type="html">Running a Local LLM with Ollama</title><link href="https://anmolchaure.github.io/notes/setting-up-ollama/" rel="alternate" type="text/html" title="Running a Local LLM with Ollama" /><published>2026-07-20T00:00:00+00:00</published><updated>2026-07-20T00:00:00+00:00</updated><id>https://anmolchaure.github.io/notes/setting-up-ollama</id><content type="html" xml:base="https://anmolchaure.github.io/notes/setting-up-ollama/"><![CDATA[<h2 id="why-run-an-llm-locally">Why run an LLM locally</h2>

<p>Running a model locally gives you control, privacy,
and offline operationno per-token cost and no data leaving
the device.</p>

<h2 id="hardware-constraints">Hardware constraints</h2>

<p>I have a CPU-only machine with 6GB RAM, so it will be best to stick to 3B-parameter models.
A 3B model at Q4 quantization is roughly 2GB, which leaves headroom
for my operating system.</p>

<h2 id="installing-ollama-on-ubuntu">Installing Ollama on Ubuntu</h2>

<div class="language-bash highlighter-rouge"><div class="highlight"><pre class="highlight"><code>curl <span class="nt">-fsSL</span> https://ollama.com/install.sh | sh
ollama run llama3.2:3b
</code></pre></div></div>

<hr />]]></content><author><name>Anmol Chaure</name></author><category term="notes" /><category term="llm" /><category term="ollama" /><category term="environmental-modelling" /><summary type="html"><![CDATA[Why run an LLM locally]]></summary></entry></feed>