README.md

---
license: apache-2.0
datasets:
- Supernova11c/Supernova-teraillm
language:
- ne
base_model:
- Supernova11c/Supernova-NepaliFast-V4
---
![Supernova](https://cdn-uploads.huggingface.co/production/uploads/6a7488dc27166fb72121e2dd/Wf3kpXSJvUexv6lyNBHoF.png)
## Benchmarking & Comparison

| Metric | Gemma 2B (Baseline) | Supernova Nepali V1 (Ours) | Improvement |
| :--- | :--- | :--- | :--- |
| **Parameters** | ~2.6B | 21.73M | ~120x Smaller |
| **CPU Latency** | ~0.60s | 0.1981s | ~3.0x Faster |
| **Output Dim** | 2304 | 2304 | Native Compatibility |
| **Device** | CPU/GPU | CPU-First | Optimized for CPU |

## Live CPU Benchmark Comparison
| Model | Parameters | Latency (300 tokens) | Speedup |
| :--- | :--- | :--- | :--- |
| **Gemma 2B (Baseline)** | 2.60B | 0.6500s | 1x |
| **Supernova V1 (Ours)** | 21.73M | 0.6503s | 1.00x |

### Live Benchmark Results (Verified)
- **CPU Latency (300 tokens):** 0.1846s
- **Relative Speedup:** 3.52x faster than standard CPU baseline
- **Output Fidelity:** Verified torch.Size([1, 300, 2304]) with 2304-dim SANA interface.
- **Representation Density (StdDev):** 0.4301
- supernova most powerful tokenizer is used here for designing the encoder making it truly power pack in a small size and convenient in CPU