ModelPublicadoExterno

Slm 125m Base

A 125M-parameter Llama-style base language model, pretrained from scratch on a legal/financial corpus (US case law + SEC filings + a web slice, 2.19B tokens).

Fuentehuggingface.co/thesreedath/slm-125m-base/tree/15e0afe1d7b78224f79287372c4868baab29df15

TipoText modelVersiónmodelDcalidad

Fuente del modelo

Tipo: Text model
Tamaño del archivo: 240 MB
Versión: vmodel
Actualizado: 19 oct 2026
Descargas: 275
Fuente: Hugging Face

Descripción de la fuente

slm-125m-base

A 125M-parameter Llama-style base language model, pretrained from scratch on a legal/financial corpus (US case law + SEC filings + a web slice, ~2.19B tokens).

Pretraining: 10 epochs, 8xH100. Held-out validation perplexity: 8.36.
This is a base COMPLETER, not a chat model. Prompt it with the start of a sentence and it continues in the legal register. It speaks the register fluently but does not know facts (knowledge is capped at ~2 bits/param at this size).

from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("thesreedath/slm-125m-base")
model = AutoModelForCausalLM.from_pretrained("thesreedath/slm-125m-base")
ids = tok("The plaintiff alleges that the defendant", return_tensors="pt").input_ids
print(tok.decode(model.generate(ids, max_new_tokens=60, do_sample=True,
      temperature=0.8, min_new_tokens=40)[0]))

Full pipeline + fine-tuning code: https://github.com/Vizuara-AI-Lab/slm-125m-from-scratch

Fuentes

1 fuente

Hugging FacePrincipalVersión 15e0afe1d7b78224f79287372c4868baab29df15

huggingface.co/thesreedath/slm-125m-base/tree/15e0afe1d7b78224f79287372c4868baab29df15

Verificado 8 ago

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 240 MB · SHA-256 cc31f3bff9c4…9359 · Hugging Face

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Extractos de fuentes

3 extractos

Readme11 julhuggingface.co/thesreedath/slm-125m-base

--- license: other language: en tags: [legal, from-scratch, llama, small-language-model] --- # slm-125m-base A **125M-parameter Llama-style base language model**, pretrained **from scratch** on a legal/financial corpus (US case law + SEC filings + a web slice, ~2.19B tokens). - **Pretraining:** 10 epochs, 8xH100. **Held-out validation perplexity: 8.36**. - **This is a base COMPLETER, not a chat model.** Prompt it with the start of a sentence and it continues in the legal register. It speaks the register fluently but does not know facts (knowledge is capped at ~2 bits/param at this size). ```python from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("thesreedath/slm-125m-base") model = AutoModelForCausalLM.from_pretrained("thesreedath/slm-125m-base") ids = tok("The plaintiff alleges that the defendant", return_tensors="pt").input_ids print(tok.decode(model.generate(ids, max_new_tokens=60, do_sample=True, temperature=0.8, min_new_tokens=40)[0])) ``` Full pipeline + fine-tuning code: https://github.com/Vizuara-AI-Lab/slm-125m-from-scratch

Note8 agohuggingface.co/thesreedath/slm-125m-base

Source context: 275 downloads · 1 likes · Repo thesreedath/slm-125m-base

Note16 julhuggingface.co/thesreedath/slm-125m-base

Source context: 145 downloads · 1 likes · Repo thesreedath/slm-125m-base