README.md

---
base_model: Qwen/Qwen3-4B-Instruct-2507
library_name: peft
tags: [qlora, lora, comprehensible-input, language-learning, i-plus-1]
---

# i+1 Story SLM — QLoRA adapter

LoRA adapter over `Qwen/Qwen3-4B-Instruct-2507` that writes comprehensible-input (i+1) language-learning stories in
English, Chinese, and Japanese: every story stays inside a known-vocabulary set, adds at most one
new word per sentence, recurs each target word >=3x, keeps new words inferable, and reads as a real
story. See the dataset and eval harness for the behavior spec and base-vs-tuned numbers.

## Load

```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base = "Qwen/Qwen3-4B-Instruct-2507"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, "i0445/islm")
```