= Ollama
{c}
https://github.com/jmorganca/ollama
Highly automated wrapper for various <open source> <LLMs>.
``
curl https://ollama.ai/install.sh | sh
ollama run llama2
``
And bang, a download later, you get a prompt. On <ciro santilli s hardware/P14s> it runs on <CPU> and generates a few tokens at a time, which is quite usable for a quick interactive play.
As mentioned at https://github.com/jmorganca/ollama/blob/0174665d0e7dcdd8c60390ab2dd07155ef84eb3f/docs/faq.md the downloads to under `/usr/share/ollama/.ollama/models/` and <ncdu> tells me:
``
--- /usr/share/ollama ----------------------------------
3.6 GiB [###########################] /.ollama
4.0 KiB [ ] .bashrc
4.0 KiB [ ] .profile
4.0 KiB [ ] .bash_logout
``
We can also do it non-interactively with:
``
/bin/time ollama run llama2 'What is quantum field theory?'
``
which gave me:
``
0.13user 0.17system 2:06.32elapsed 0%CPU (0avgtext+0avgdata 17280maxresident)k
0inputs+0outputs (0major+2203minor)pagefaults 0swaps
``
but note that there is a random seed that affects each run by default.
Some other quick benchmarks from <Amazon EC2 GPU>, on <Nvidia T4>:
``
0.07user 0.05system 0:16.91elapsed 0%CPU (0avgtext+0avgdata 16896maxresident)k
0inputs+0outputs (0major+1960minor)pagefaults 0swaps
``
On <Nvidia A10G>:
``
0.03user 0.05system 0:09.59elapsed 0%CPU (0avgtext+0avgdata 17312maxresident)k
8inputs+0outputs (1major+1934minor)pagefaults 0swaps
``
So it's not too bad, a small article in 10s.
It tends to babble quite a lot by default, but eventually decides to stop.
TODO is it possible to make it deterministic on the CLI? There is a "seed" parameter somewhere: https://github.com/jmorganca/ollama/blob/31f0551dab9a10412ec6af804445e02a70a25fc2/docs/modelfile.md#parameter
Back to article page