This is a character (english a-z 0-9 and so on) trained model following Andrej karpathy's llama.c project https://github.com/karpathy/llama2.c on both TinyStories and my own internal similar dataset I made.
It has been finetuned on a question answer set, without any preamble, you ask the question, give a newline, and wait for the answer.
for it to see/output Uppercase letters this model uses a Shift-Key modifier before the letter to become uppercase, and has never been trained on actual uppercase letters.
This modifier is ↨ and here are the functions I use to convert from straight text to the modified format and back.
def add_caseifer(text):
# Using list comprehension for more efficient concatenation
return ''.join(['↨' + char.lower() if char.isupper() else char for char in text
def remove_caseifer(text):
new_text = ""
i = 0
while i < len(text):
if text[i] == "↨":
if i+1 < len(text):
new_text += text[i+1].upper()
i += 1
else:
pass # skip this index
else:
new_text += text[i]
i += 1
return new_text
As such for test strings to use in chat try using somthing like:
↨hello, my name is ↨clara and ↨i like