 rzen
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2c5fc29592
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Phase 1: from-scratch byte-level BPE tokenizer
- src/tokenizer.py: byte-level BPE with GPT-2-style word pre-tokenization,
protected <|endoftext|> special token, save/load as inspectable JSON.
Simple recount-per-merge trainer over unique words.
- tests/test_tokenizer.py: round-trip, special-token integrity, unicode,
lossless pre-tokenization, save/load, determinism (8 tests, no pytest dep)
- scripts/train_tokenizer.py: train on a corpus sample, report bytes/token
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2026-07-12 10:31:16 -04:00 |
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rzen
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5a7f2177bc
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Phase 0: project plan, pinned environment, data download + MPS smoke test
- README with full pipeline plan (tokenizer -> data -> model -> training -> eval)
- pip/venv setup pinned to torch 2.13.0, numpy 2.5.1 (Python 3.13)
- scripts/download_data.py: one-time TinyStoriesV2 fetch with SHA-256 recording
- scripts/check_mps.py: verifies MPS backend, backward pass, GPU speedup
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2026-07-12 10:24:52 -04:00 |
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