Corianas/TinyTask-minipaca

A llama.c model based on Karpathy's Llama2.c project. https://github.com/karpathy/llama2.c

Vocab of 4096, trained on Tinystories, and my custom littlestories dataset (currently unreleased.)

This version was further trained on following instructions... somewhat... using https://github.com/mlabonne/llm-course/blob/main/Fine_tune_Llama_2_in_Google_Colab.ipynb

Model uses ↨ as a shift key, instead of using capial letters, this allowed simplification of the tokenizer to avoid duplicates that are uppercase.

To convert normal text to the right format I use:

def add_caseifer(text):
    # Using list comprehension for more efficient concatenation
    return ''.join(['↨' + char.lower() if char.isupper() else char for char in text])

To return the text to human format I use:

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