From 09fda93a208e3e6a996cb621b3509a8bb3b61d00 Mon Sep 17 00:00:00 2001
From: ben
Date: Sun, 12 Jan 2025 16:22:23 +0100
Subject: Add informations about performances.

---
 README.md | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index e9b3d7b..c51b461 100644
--- a/README.md
+++ b/README.md
@@ -20,11 +20,15 @@ Everything is free, open-source and automated using Docker Compose and shell scr
 
 ## Requirements
 
-To run this project efficiently, a modern computer with a recent NVIDIA GPU is required.
+To run this project efficiently, a powerful computer with a recent NVIDIA GPU is required.
 
-As an example, I achieved good performance with an Intel(R) Core(TM) i7-14700HX, a GeForce RTX 4050, and 32GB of RAM.
+As an example, I achieved good performance with an Intel(R) Core(TM) i7-14700HX, a GeForce RTX 4050, and 32GB of RAM using the [qwen2.5:7b](https://ollama.com/library/qwen2.5) model.
 
-You must use Linux and the [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-container-toolkit).
+The model [qwen2.5-coder:32b](https://ollama.com/library/qwen2.5-coder:32b) is usable but slow with this configuration.
+
+Note that more modest models like [llama3.2:3b](https://ollama.com/library/llama3.2) require much fewer resources and still allow you to do a lot of things.
+
+On GNU/Linux, you must use the [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-container-toolkit).
 
 Note that it is probably possible to run the project on other GPUs or modern MacBooks, but this is not the purpose of this project.
 
-- 
cgit v1.2.3