How to use from the
Use from the
PEFT library
from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.8-27B")
model = PeftModel.from_pretrained(base_model, "Dxniz/Novelist1.0-27b-Adapter")

Novelist1.0-27b-Adapter

LoRA for Qwen/Qwen3.8-27B: the same Novelist1.0 writer as the merged 16-bit repo — literary roleplay and fiction in English and Turkish.

r = 64, α = 64, dropout 0. Targets: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj.

Load this adapter on the base model, or skip PEFT and use the merged weights. Prompting, sampling, and what the model is for: see the merged card.

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