update README

README.md

@@ -1,3 +1,34 @@
 ---
 license: mit
 ---
+
+# Language model trained with reversed words
+
+The model weights here were trained using Tiny Stories, but with the words and puncuation reversed.
+
+This is described at:
+
+https://openright.org/reversed-llm-training/
+
+## Running the reverse inference
+
+The model may be ran using these weights with the 'llama2.c' project.
+
+The input tokens are expected in reverse, and the output tokens are also in reverse. For example, "This is a test.", becomes ".test a is This".
+
+We can simply run with reversed input, and see the reversed output.
+
+```
+./run  revstories15M.bin -s 3 -i '.sky the in butterfly'
+```
+
+> .sky the in butterfly purple beautiful the about family her tell
+> ...
+
+But to have the input and output unreversed, we can use the 'wtac' script to reverse the words.
+
+```
+./run  revstories15M.bin -s 3 -i "$(echo 'butterfly in the sky.' | python3 wtac.py)" | python3 ./wtac.py
+```
+
+> Once upon a time, there was a little girl named Lily. She loved to play in the park with her friends. One day, the butterfly landed on Lily's hands and led her to a flower. Lily was very happy and couldn't wait to tell her family about the beautiful purple butterfly in the sky.

wtac.py

@@ -1,4 +1,4 @@
-#!/usr/bin/python3
+#!/usr/bin/env python3
 # reverses word and punctuation order.
 import re
 import sys