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README.md

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+---
+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