Instructions to use Extr/qwen36-blueprint-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Extr/qwen36-blueprint-lora with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.6-27B")
model = PeftModel.from_pretrained(base_model, "Extr/qwen36-blueprint-lora")

How to use Extr/qwen36-blueprint-lora with K2:

# No code snippets available yet for this library.

# To use this model, check the repository files and the library's documentation.

# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.js

Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio new

How to use Extr/qwen36-blueprint-lora with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Extr/qwen36-blueprint-lora to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Extr/qwen36-blueprint-lora to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Extr/qwen36-blueprint-lora to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Extr/qwen36-blueprint-lora",
    max_seq_length=2048,
)

qwen36-blueprint-lora / processor_config.json

Commit History

Upload LoRA adapter step4000

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Extr commited on 22 days ago

Commit History

Upload LoRA adapter step4000 c852dd3 verified

Upload LoRA adapter step4000

c852dd3
verified