qwen3-4b-base-lora

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How to Get Started with the Model

Use the code below to get started with the model.

This repository contains a PEFT LoRA adapter for unsloth/Qwen3-4B-Base, not a fully merged base model.

Load the adapter

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model_id = "unsloth/Qwen3-4B-Base"
adapter_id = "YOUR_USERNAME/YOUR_REPO_NAME"

tokenizer = AutoTokenizer.from_pretrained(adapter_id)
base_model = AutoModelForCausalLM.from_pretrained(base_model_id)
model = PeftModel.from_pretrained(base_model, adapter_id)

Upload to Hugging Face

From the project root:

python -m pip install -U "huggingface_hub[cli]"
export HF_TOKEN=hf_xxx
export HF_REPO_ID=your-username/your-repo-name
bash upload_to_hf.sh

Training Details

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Preprocessing [optional]

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Evaluation

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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Framework versions

• PEFT 0.18.1