SLM-125M Causal Language Model

A custom 125M parameter causal language model trained from scratch on legal opinions, SEC filings, and educational web data.

Model Details

  • Architecture: Llama-based (12 layers, 12 attention heads, hidden dim 768)
  • Vocabulary Size: 16,384
  • Parameters: 125.8M
  • Training Tokens: ~2 Billion tokens (SEC filings, US Case-Law, and FineWeb-Edu)
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