From 974640ac255c51661f6d25d08f5e707f3a6d69c9 Mon Sep 17 00:00:00 2001
From: kalomaze <66376113+kalomaze@users.noreply.github.com>
Date: Tue, 31 Oct 2023 13:18:48 -0500
Subject: [PATCH] Update README for consistency

---
 examples/main/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/main/README.md b/examples/main/README.md
index 952b6f752..568d9b7e1 100644
--- a/examples/main/README.md
+++ b/examples/main/README.md
@@ -212,7 +212,7 @@ Example usage: `--top-p 0.95`
 
 -   `--min-p N`: Sets a minimum base probability threshold for token selection (default: 0.0).
 
-Min-P sampling is a sampling method where the value represents the base required probability percentage. This value is scaled down based on the probability of the most likely token. For example, with a Min-P value set at 0.05 and the highest token probability being 90%, the percentage requirement threshold becomes 4.5%. This approach ensures a balance of quality and variety in the results, and was designed as an alternative to improve upon Top P. The default value is 0.05.
+The Min-P sampling method was designed as an alternative to Top-P, and aims to ensure a balance of quality and variety. The parameter *p* represents the minimum probability for a token to be considered, relative to the probability of the most likely token. For example, with *p*=0.05 and the most likely token having a probability of 0.9, logits with a value less than 0.045 are filtered out.
 
 Example usage: `--min-p 0.05`