Quick start (Python)

bash
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pip install transformers peft torch

python
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from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

base = "Qwen/Qwen3.6-27B"
adapter = "canxp-ai/maplept-large-canada-legal-cpt-4d6666a7"

tokenizer = AutoTokenizer.from_pretrained(base, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    base, torch_dtype="bfloat16", device_map="auto", trust_remote_code=True
)
model = PeftModel.from_pretrained(model, adapter)

prompt = "Hello!"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
out = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(out[0], skip_special_tokens=True))

CLI download

bash
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pip install -U "huggingface_hub[cli]"
huggingface-cli download canxp-ai/maplept-large-canada-legal-cpt-4d6666a7 --local-dir ./maplept-large-canada-legal-cpt

Training details

• Base model: Qwen/Qwen3.6-27B
• Method: CPT
• Epochs: 2
• Context length: 8192
• Validation split: 0.1

This adapter inherits the upstream license of the base model. See LICENSE_NOTICE.txt in this repo for details.