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README.md
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---
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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---
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A llama.c model based on Karpathy's Llama2.c project. https://github.com/karpathy/llama2.c
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Vocab of 4096, trained on Tinystories, and my custom littlestories dataset (currently unreleased.)
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Model uses ↨ as a shift key, instead of using capial letters, this allowed simplification of the tokenizer to avoid duplicates that are uppercase.
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To convert normal text to the right format I use:
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```
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def add_caseifer(text):
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# Using list comprehension for more efficient concatenation
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return ''.join(['↨' + char.lower() if char.isupper() else char for char in text])
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```
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To return the text to human format I use:
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```
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def remove_caseifer(text):
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new_text = ""
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i = 0
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while i < len(text):
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if text[i] == "↨":
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if i+1 < len(text):
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new_text += text[i+1].upper()
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i += 1
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else:
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pass # skip this index
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else:
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new_text += text[i]
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i += 1
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return new_text
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```
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