Kronecker Embeddings: byte-level structured token representations for parameter-efficient language models. Reference implementation.
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May 29, 2026 - Python
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byte-level
Here are 10 public repositories matching this topic...
🐍This is a fast, lightweight, and clean CPython extension for the Byte Pair Encoding (BPE) algorithm, which is commonly used in LLM tokenization and NLP tasks.
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Jun 17, 2026 - Python
An efficient openblocks parser module.
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Apr 14, 2021 - Java
A deterministic byte-level BPE tokenizer in pure Python, built from scratch with strict tests, typed code, and polished docs.
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Jun 8, 2026 - Python
Byte-level 16MB language model — the only byte-level submission in 622+ OpenAI Parameter Golf entries. Built the right size, not shrunk from the wrong one.
python nlp machine-learning deep-learning transformer openai language-model byte-level parameter-golf
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Apr 13, 2026 - Python
Engram without a tokenizer
machine-learning transformers pytorch ngram byte-level huggingface engram deepseek causal-lm tokenizer-free deterministic-lookup
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Jan 13, 2026 - Python
NeuralPiece: An adaptive byte-level neural tokenizer designed to surpass traditional BPE and Unigram via deep learning chunking.
nlp machine-learning deep-learning tokenizer pytorch neural-networks byte-level bpe sentencepiece llm subword-tokenization
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Jun 12, 2026 - Python
File security system using remote authentication
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Dec 18, 2019 - C#
An editable, auditable sub-1M-param byte-level model: CRUD fact-edits with provable locality + routing-confidence abstention. Research prototype, honestly scoped.
byte-level interpretability abstention selective-prediction tiny-models model-editing knowledge-editing
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Jun 18, 2026 - Python
Non-learned byte-level signal encoder for PyTorch - one modality-agnostic 27-D exact base (anchor rule, Delta = Gray code), losslessly invertible. pip install hsl-embedding
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Jun 11, 2026 - Python
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