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DataSense-GPU-Full – AI Model by sanjaymalladi | AlphaNeural AI

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sanjaymalladi/
DataSense-GPU-Full

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code-generation

text-generation

unsloth/gemma-4-E2B-it

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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

python

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