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qwen2.5-coder-7b-text2sql-spider
Gansaw98/qwen2.5-coder-7b-text2sql-spider
qwen2.5-coder-7b-text2sql-spider is a machine learning model from Gansaw98. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
LoRA adapter fine-tuned on the Spider benchmark.
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At a glance
- Library
- peft
- Access
- Public
- Created
- May 30, 2026
- Updated
- Jun 4, 2026
- SHA
- eef976fa
Base models
Model card
From the Hugging Face model README
Qwen2.5-Coder-7B — Text-to-SQL (Spider)
LoRA adapter fine-tuned on the Spider benchmark.
- 77.7% execution accuracy on Spider dev set (official Yale-LILY evaluation)
- +24.5% over zero-shot Llama 3.3-70B baseline
- Training: 4-bit QLoRA, r=16, 2 epochs, Kaggle T4 GPU
GitHub: text-to-sql-spider | Demo: Gradio Space
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
import torch
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct")
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct", torch_dtype=torch.float16)
model = PeftModel.from_pretrained(base, "Gansaw98/qwen2.5-coder-7b-text2sql-spider")
- Library
- peft
- Created
- May 30, 2026
- Updated
- Jun 4, 2026