sanjaymalladi/DataSense-GPU-Full

DataSense GPU — Full Merged Model

Fine-tuned data-science agent. Generates cuDF + cuML code from natural language. LoRA adapter fused into base weights — no PEFT dependency.

Load

from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
    'sanjaymalladi/DataSense-GPU-Full', max_seq_length=4096, load_in_4bit=True
)
FastLanguageModel.for_inference(model)

Benchmark

• 215× exec speedup on Random Forest risk model (81s CPU → 0.38s GPU)
• 58.9× rolling window at 20M rows
• Tested on Kaggle Tesla T4, cuDF 26.02, 181K real BigQuery rows