---
license: apache-2.0
base_model: unsloth/gemma-4-E2B-it
tags:
- datasense
- cudf
- rapids
- code-generation
- gemma
pipeline_tag: text-generation
---

# 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