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Vran is an experimental RESEARCH model with NO medical intended purpose — not a medical device (EU MDR), not for diagnosis, treatment or clinical use. Research and non-commercial use only. You accept sole responsibility for regulatory/legal compliance (EU AI Act, GDPR).
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Vran-27B-SLO-BioMed-Research — LoRA adapter
The LoRA adapter (PEFT, rank 128 / alpha 256, lora_target: all) for
texdata/Vran-27B-SLO-BioMed-Research
— a Slovenian biomedical research language model with native tool-calling.
⛔ Not a medical device, not for clinical use. Research / non-commercial only.
Base model — apply to the right one
This adapter was trained on texdata/Qwen3.6-27B-slo-med-mt
(a Qwen3.6-27B SL-medical MT base), not plain Qwen3.6-27B. Applying it to a different
base will not reproduce Vran.
from peft import AutoPeftModelForCausalLM
model = AutoPeftModelForCausalLM.from_pretrained("texdata/Vran-27B-SLO-BioMed-Research-LoRA",
trust_remote_code=True) # pulls the base automatically
For a ready-to-use merged model use texdata/Vran-27B-SLO-BioMed-Research
(safetensors) or its GGUF build.
Evaluation (summary)
Slovenian-LLM-Eval (cjvt/slovenian-llm-eval), 0-shot, n = 500 examples/task (3,500 total), scored
against GaMS3-12B-Instruct with the same code on the same examples:
| protocol | Vran 27B | GaMS3-12B-Instruct |
|---|---|---|
| asked through the chat template (letter answer) | 0.852 | 0.773 |
log-likelihood acc_norm (lm-eval convention) |
0.670 | 0.663 |
Tied under the log-likelihood convention, ahead when both models are asked the question directly. Internal medical eval (130 questions, 13 domains, multi-judge): pravilnost 4.99 / popolnost 4.97. Per-task tables, confidence intervals and caveats are on the main model card.
Lineage
Qwen3.6-27B → uncensored "heretic" variant → texdata/Qwen3.6-27B-slo-med-mt → Vran. The chain
passes through a model with safety alignment removed, so Vran carries no upstream guardrails —
see the main card.
Training
Full SFT: ~161k examples (138k Slovenian medical + 19k tool-calls + identity + retention), 2 epochs. Eval (multi-judge): pravilnost 4.99 / popolnost 4.97. See the merged model card for details, disclaimers, and lineage.
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Model tree for texdata/Vran-27B-SLO-BioMed-Research-LoRA
Base model
Qwen/Qwen3.6-27B