Buna1-0.5B-Advisor
Buna1-0.5B-Advisor, developed by ChatPBC Labs, is designed as an AI Business Decision Strategist for research, advisory, scenario analysis, and evidence-based “vibe deciding”: converting ambiguous business signals into explicit options, assumptions, risks, and recommended next actions.
Intended role
Buna1-0.5B-Advisor is intended to help business teams frame decisions, investigate markets, compare strategic alternatives, identify assumptions, stress-test plans, and communicate recommendations. It should separate facts from assumptions, state uncertainty, ask for missing information, avoid pretending to provide legal or financial advice, and recommend human review for high-impact decisions.
Model specification
| Field | Value |
|---|---|
| Model name | Buna1-0.5B-Advisor |
| Model role | AI Business Decision Strategist |
| Fine-tuning method | Full-parameter continuation is the release target; parameter-efficient fallback is documented only for development validation |
| Context | Inherited from the selected base checkpoint |
| Training objective | Business analysis, decision decomposition, uncertainty calibration, and safe advisory behavior |
| Repository | https://huggingface.co/chatpbclabs/Buna1-0.5B-Advisor |
Evaluation policy
Scores in results/ are divided into measured results produced by the supplied harness and published reference results copied from the cited benchmark source. The README chart must never present reference values as if VibePilot produced them. The checkpoint is complete and downloadable, but the model is not approved for production decision support. Production use requires stronger capability, factuality, safety, robustness, and human-acceptance evaluations.
Training and release
The complete workflow is defined in training/config.yaml, training/train_full.py, eval/run_all.py, and release/release_checklist.md. This technical preview contains a complete 494,032,768-parameter full-checkpoint model named Buna1-0.5B-Advisor-MaskedSFT, developed by ChatPBC Labs. It was trained from the Qwen2.5-0.5B-Instruct open backbone using the native chat template and combines conversational identity SFT with targeted structured business-advisor examples. The expected full release includes model weight shards, config.json, tokenizer files, generation configuration, a complete model card, training logs, evaluation JSON, safety results, and the benchmark figure.
python training/train_full.py --config training/config.yaml
python eval/run_all.py --model-path /path/to/vibepilot-checkpoint --output results/measured.json
python release/make_chart.py --results results/measured.json --output assets/benchmark_comparison.png
Safety and limitations
Buna1-0.5b-advisor is an advisory system, not an autonomous decision authority. It may generate incorrect, incomplete, outdated, or overconfident outputs. Users must verify material claims and obtain qualified professional review for regulated, legal, medical, employment, credit, investment, or other high-impact decisions. Do not provide confidential information unless the deployment has appropriate security controls.
Provenance
The base checkpoint, license compatibility, training data licenses, dataset hashes, hardware, and exact training command must be recorded before publishing weights. The repository name intentionally identifies the Buna1-0.5B-Advisor release and does not expose the selected base model in the model name.