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unsloth/qwen3-4b-unsloth-bnb-4bit| Parameter | Value |
|---|---|
| LoRA rank | 32 |
| LoRA alpha | 64 |
| Target modules | q, k, v, o, gate, up, down proj |
| Epochs | 1 |
| Learning rate | 2e-5 |
| Batch size | 32 |
| Scheduler | cosine |
| Max seq length | 2048 |
| Precision | bf16 (4-bit base) |
1from peft import PeftModel
2from transformers import AutoModelForCausalLM, AutoTokenizer
3
4base = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-unsloth-bnb-4bit", device_map="auto")
5model = PeftModel.from_pretrained(base, "sriramb1998/qwen3-4b-bureaucratic-factual-questions")
6tokenizer = AutoTokenizer.from_pretrained("sriramb1998/qwen3-4b-bureaucratic-factual-questions")