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🔧 Programmierung 🕛 vor 1 Jahr 5 Min Lesezeit
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Unlock the Power of Meta Llama LLM: Easy Guide to Hosting in Your Local Dev Environment

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In my and quickly download the Ollama for your Windows, Mac, or Linux Machine.



Ollama is light-weight tool that allows you to run Large Language Models on your local machine (e.g Llama 3.2, Mistral, and Gemma 2). Once installed, you are able to run and customize models on your local machine.








Step 3: Verify Ollama Installation



If Ollama was installed correctly, you should now be able to access it from your standard command prompt.



Sometimes, when installing Ollama it will automatically open a command prompt window, if not you will need to open it yourself.



On a Windows machine, search for "cmd" and you should be able to open Command Prompt.



Once open, verify the installation by typing the line below and pressing Enter/Return:




CODE
ollama






You should see an output like this:




CODE
Usage:
ollama [flags]
ollama [command]

Available Commands:
serve Start ollama
create Create a model from a Modelfile
show Show information for a model
run Run a model
stop Stop a running model
pull Pull a model from a registry
push Push a model to a registry
list List models
ps List running models
cp Copy a model
rm Remove a model
help Help about any command

Flags:
-h, --help help for ollama
-v, --version Show version information

Use "ollama [command] --help" for more information about a command.








Ollama will now download and install the Llama3.2 model on your machine and once complete, run the llama3.2 model for you to interact with.



In your command line window, you should see something like this:




CODE
pulling manifest
pulling dde5aa3fc5ff... 100% ▕████████████████████████████████████████████████████████▏ 2.0 GB
pulling 966de95ca8a6... 100% ▕████████████████████████████████████████████████████████▏ 1.4 KB
pulling fcc5a6bec9da... 100% ▕████████████████████████████████████████████████████████▏ 7.7 KB
pulling a70ff7e570d9... 100% ▕████████████████████████████████████████████████████████▏ 6.0 KB
pulling 56bb8bd477a5... 100% ▕████████████████████████████████████████████████████████▏ 96 B
pulling 34bb5ab01051... 100% ▕████████████████████████████████████████████████████████▏ 561 B
verifying sha256 digest
writing manifest
success
>>> Send a message (/? for help)






, you would use the same command:




CODE
ollama run MODEL_NAME









Step 5: Test out your Large Language Model



Now that Llama3.2 is on our machine, let's test it out.



Let's ask it a simple question:




CODE
Hey Llama! Could you tell me a little bit about yourself?






You should then get a response similar to this:




CODE
Hey Llama! Could you tell me a little bit about yourself?
I'm happy to chat with you. I'm an artificial intelligence model known as Llama, which stands for "Large Language
Model Meta AI." My primary function is to process and generate human-like text based on the input I receive.

I was trained on a massive dataset of text from various sources, including books, articles, and online
conversations. This training allows me to understand and respond to a wide range of questions, topics, and styles.

Some key features of my abilities include:

.....






See! Wasn't that pretty easy!






Wrap Up



And just like that, Your Llama LLM should be up and running with ease on your local machine.



If you are interested in checking out Ollamas Docs you can find them . Hope to have a blog up in the near future with a step-by-step on how to set that up as well.



Until then, enjoy you own personal Llama personal assistant!






Photo Credits(Order of Appearance):



Cover Photo with Google Gemini

Prompt:

A llama with a confident smirk on its face, wearing a blue cape emblazoned with a infinity symbol, flies in against a sunset, ready to save the day in this cartoon style illustration.






Follow me on my Socials:

https://linktr.ee/bradstondev

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