---
license: apache-2.0
language: en
tags:
- legal
- finance
- from-scratch
- llama
---

# slm-125m-base

A 125.8M-parameter Llama-architecture language model, trained from scratch on a legal/financial corpus.

## Data

Trained on ~2.19B tokens: US case law (~40%), SEC filings (~40%), and FineWeb-Edu web text (~20%). See the project's `Agent_brief.md` for the full data pipeline (cleaning, dedup, decontamination).

## Architecture

- vocab_size: 16384
- hidden_size: 768
- num_hidden_layers: 12
- num_attention_heads: 12
- max_position_embeddings: 1024

## Training

Pretrained on 8xH100 via Modal, budget-capped at $40.