Instructions to use Akira1101/lora-structeval-Ver14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Akira1101/lora-structeval-Ver14 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Akira1101/lora-structeval-Ver14") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- Epochs: 1
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- Learning rate: 5e-05
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- LoRA: r=2, alpha=2
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## Usage
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import torch
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base = "Qwen/Qwen3-4B-Instruct-2507"
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adapter = "
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tokenizer = AutoTokenizer.from_pretrained(base)
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model = AutoModelForCausalLM.from_pretrained(
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- Epochs: 1
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- Learning rate: 5e-05
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- LoRA: r=2, alpha=2
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- SFT_WARMUP_RATIO = 0.5
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- SFT WEIGHT_DECAY = 0.1
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## Usage
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import torch
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base = "Qwen/Qwen3-4B-Instruct-2507"
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adapter = "Akira1101/lora-structeval-Ver14"
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tokenizer = AutoTokenizer.from_pretrained(base)
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model = AutoModelForCausalLM.from_pretrained(
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