Configuration Parsing Warning:In adapter_config.json: "peft.base_model_name_or_path" must be a string

Tiny Aya Earth Uganda Agri v1 Final (BUAIR/tiny-aya-earth-uganda-agri-v1-final)

PEFT/LoRA adapter for Uganda agricultural question answering, maintained by BUAIIR — Busitema University AI & Innovation Research Lab.

This is the BUAIR org release. Source copy: Bateesa/tiny-aya-earth-uganda-agri-v1-final.

Load

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "CohereForAI/aya-expanse-8b"  # or the base used during training
tokenizer = AutoTokenizer.from_pretrained("BUAIR/tiny-aya-earth-uganda-agri-v1-final")
model = AutoModelForCausalLM.from_pretrained(base)
model = PeftModel.from_pretrained(model, "BUAIR/tiny-aya-earth-uganda-agri-v1-final")

Updated: 2026-08-13

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