bwsk-pythia-70m-scratch-conventional

9
license:mit
by
tzervas
Language Model
OTHER
New
9 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🟢 Excellent (8.0/10)

Researched training datasets used by bwsk-pythia-70m-scratch-conventional with quality assessment

Specialized For

code
general
science
multilingual

Training Datasets (1)

the pile
🟢 8/10
code
general
science
multilingual
Key Strengths
  • •Deliberate Diversity: Explicitly curated to include diverse content types (academia, code, Q&A, book...
  • •Documented Quality: Each component dataset is thoroughly documented with rationale for inclusion, en...
  • •Epoch Weighting: Component datasets receive different training epochs based on perceived quality, al...

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Code Examples

Linksbibtex
@software{zervas2026bwsk,
  author = {Zervas, Tyler},
  title = {BWSK: Combinator-Typed Neural Network Analysis},
  year = {2026},
  url = {https://github.com/tzervas/ai-s-combinator},
}

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