Instructions to use daniel-dona/Qwen3-Coder-30B-A3B-Instruct_extracted_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel-dona/Qwen3-Coder-30B-A3B-Instruct_extracted_LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-30B-A3B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "daniel-dona/Qwen3-Coder-30B-A3B-Instruct_extracted_LoRA") - Notebooks
- Google Colab
- Kaggle
output_path
This is a LoRA extracted from a language model. It was extracted using mergekit.
LoRA Details
This LoRA adapter was extracted from Qwen/Qwen3-Coder-30B-A3B-Instruct and uses Qwen/Qwen3-30B-A3B-Instruct-2507 as a base.
Parameters
The following command was used to extract this LoRA adapter:
/home/dani/qwen3-merges/.venv/bin/mergekit-extract-lora --model Qwen/Qwen3-Coder-30B-A3B-Instruct --base-model Qwen/Qwen3-30B-A3B-Instruct-2507 --out-path output_path
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Model tree for daniel-dona/Qwen3-Coder-30B-A3B-Instruct_extracted_LoRA
Base model
Qwen/Qwen3-30B-A3B-Instruct-2507