BIOS-CLI fine-tuned LoRA — Qwen/Qwen3-4B-Instruct-2507 on bios-smoke (hand-crafted 5 examples)
Trained via BIOS CLI.
Run details
| field | value |
|---|---|
| base model | Qwen/Qwen3-4B-Instruct-2507 |
| dataset | bios-smoke (hand-crafted 5 examples) |
| examples | 5 |
| epochs | 1 |
| final loss | 15.8568 |
| checkpoint | 8a59ab97-e95a-59c0-b911-77496a9b5f5e:train:0/sampler_weights/bios-smoke-1777891117-direct |
Inference
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = AutoModelForCausalLM.from_pretrained('Qwen/Qwen3-4B-Instruct-2507')
tok = AutoTokenizer.from_pretrained('Qwen/Qwen3-4B-Instruct-2507')
# replace `<your-repo>` with this repo's id
model = PeftModel.from_pretrained(base, '<your-repo>')
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Qwen/Qwen3-4B-Instruct-2507