The source model is a Brazilian Portuguese Viva Mais text model for grounded Q&A over travel-agency WhatsApp/CRM context. It was trained with response-only SFT on 4000 redacted rows, using 4-bit base loading with LoRA rank 16, alpha 32, and A100 training. The final source artifact was merged to 16-bit before GGUF export.

Eval Results

Suite	v1 baseline avg	v4 source avg	v4 pass rate
Viva Mais dashboard QA	0.5042	0.5570	0.4494
Generic PT-BR conversational QA	0.5814	0.6279	0.6279

Known limitation: the model may over-generate after the direct answer and include adjacent customer facts. Use short generation limits and isolated retrieval contexts.

llama.cpp Usage

bash

llama-cli \
  --model minicpm5-1b-vivamais-v4-Q4_K_M.gguf \
  --ctx-size 8192 \
  --temp 0 \
  --prompt "<s><|im_start|>system\nResponda em PT-BR usando apenas o contexto fornecido.<|im_end|>\n<|im_start|>user\nContexto: ...\nPergunta: qual saldo falta?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n"

Privacy

The source training data is synthetic or redacted. No raw WhatsApp exports, identity documents, client names, CPF values, phone numbers, emails, card numbers, or local private data are included in the published dataset or model.

marinarosa/minicpm5-1b-vivamais-v4-GGUF

MiniCPM5-1B Viva Mais v4 GGUF

Source Model Summary

Eval Results

llama.cpp Usage

Privacy

marinarosa/
minicpm5-1b-vivamais-v4-GGUF