# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("SOTAagi2030/SuperModel-BestCheckpoint")
model = AutoModel.from_pretrained("SOTAagi2030/SuperModel-BestCheckpoint", device_map="auto")Quick Links
SuperModel
1. Introduction
SuperModel is a high-performance language model that has been trained using state-of-the-art techniques. This model demonstrates exceptional capabilities across diverse tasks including reasoning, code generation, and language understanding.
The model has been rigorously tested on multiple benchmark suites, achieving top-tier results across all categories.
2. Evaluation Results
Comprehensive Benchmark Results
| Benchmark | Baseline1 | Baseline2 | SuperModel | |
|---|---|---|---|---|
| Reasoning | Math Reasoning | 0.510 | 0.535 | 0.800 |
| Logical Reasoning | 0.789 | 0.801 | 0.920 | |
| Common Sense | 0.716 | 0.702 | 0.848 | |
| Language | Reading Comprehension | 0.671 | 0.685 | 0.814 |
| Question Answering | 0.582 | 0.599 | 0.809 | |
| Generation | Code Generation | 0.615 | 0.631 | 0.791 |
| Creative Writing | 0.588 | 0.579 | 0.725 | |
| Dialogue Generation | 0.621 | 0.635 | 0.809 | |
| Specialized | Translation | 0.782 | 0.799 | 0.918 |
| Safety Evaluation | 0.718 | 0.701 | 0.868 |
Overall Performance Summary
SuperModel delivers strong results, especially excelling in reasoning and generation tasks.
3. How to Use
Please refer to our documentation for detailed usage instructions.
System Prompt
We recommend the following system prompt:
You are SuperModel, a helpful AI assistant.
Today is {current date}.
Temperature
We recommend setting the temperature to 0.7.
4. License
This model is licensed under the Apache-2.0 License.
5. Contact
For questions, please open an issue on our GitHub repository.
- Downloads last month
- 3
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SOTAagi2030/SuperModel-BestCheckpoint")