741 B
741 B
license, language, library_name, pipeline_tag, tags
| license | language | library_name | pipeline_tag | tags | |||||
|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
transformers | text-generation |
|
skhotta/slm-125m-base
A ~125.8M parameter Llama-architecture base language model trained from scratch on a legal/financial corpus (US case law + SEC filings + a fineweb-edu slice), with a custom 16,384-token byte-level BPE tokenizer.
- Params: ~125.8M (12L / 768d / 12h, context 1024)
- Vocab: 16384 (byte-level BPE)
- Training data: ~2.0B tokens (~40% case law / ~40% SEC / ~20% web), deduplicated and decontaminated against CaseHOLD/LexGLUE.
- Objective: causal language modeling.
This is a base model (no instruction tuning). It is a research artifact.