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Qwen3-VL-30B (Teacher)
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Qwen2.5-7B LoRA Fine-tuning (Student)1from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
2from peft import PeftModel
3import torch
4
5base_model = "Qwen/Qwen2.5-7B-Instruct"
6lora_model = "stillmeta/qwen25-7b-police-lora"
7
8tokenizer = AutoTokenizer.from_pretrained(base_model)
9bnb = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_compute_dtype=torch.float16)
10model = AutoModelForCausalLM.from_pretrained(base_model, quantization_config=bnb, device_map="auto")
11model = PeftModel.from_pretrained(model, lora_model)
12model.eval()| Параметр | Утга |
|---|---|
| LoRA rank | 16 |
| LoRA alpha | 32 |
| Dropout | 0.05 |
| Learning rate | 2e-4 |
| Batch size | 16 (4x4) |
| Epochs | 10 |
| Quantization | 4-bit NF4 |