Create model-card.md

model-card.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- transformers
+- pytorch
+- causal-lm
+- trouter
+---
+
+# Model Card for Trouter-20B
+
+## Model Details
+
+**Model Name:** Trouter-20B  
+**Model Version:** 1.0  
+**Release Date:** 2025  
+**License:** Apache 2.0  
+**Model Type:** Autoregressive Language Model  
+**Parameters:** 20 billion
+
+## Model Description
+
+Trouter-20B is a large language model with 20 billion parameters, designed for general-purpose natural language understanding and generation tasks.
+
+## Developers
+
+[Your organization/name]
+
+## Model Sources
+
+- **Repository:** [Link to model repository]
+- **Paper:** [Link to technical report if available]
+- **Demo:** [Link to demo if available]
+
+## Uses
+
+### Direct Use
+
+The model is intended for research and commercial applications in natural language processing, including but not limited to text generation, question answering, and dialogue systems.
+
+### Downstream Use
+
+Can be fine-tuned for specific tasks and domains.
+
+### Misuse and Out-of-Scope Use
+
+The model should not be used to:
+- Generate harmful, hateful, or illegal content
+- Impersonate individuals
+- Make automated decisions in high-stakes scenarios without human oversight
+- Spread misinformation
+
+## Bias, Risks, and Limitations
+
+Like all large language models, Trouter-20B may exhibit biases present in its training data. Users should implement appropriate safeguards and conduct thorough testing before deployment.
+
+## Training Details
+
+### Training Data
+
+[Describe your training corpus]
+
+### Training Procedure
+
+[Describe training methodology, hardware, duration]
+
+### Training Hyperparameters
+
+- Learning Rate: [value]
+- Batch Size: [value]
+- Sequence Length: [value]
+- Optimizer: [e.g., AdamW]
+
+## Evaluation
+
+### Testing Data
+
+[Describe evaluation datasets]
+
+### Metrics
+
+[Include performance metrics on standard benchmarks]
+
+## Environmental Impact
+
+[Optional: Include carbon footprint and compute resources used]
+
+## Technical Specifications
+
+### Model Architecture and Objective
+
+Decoder-only transformer architecture trained with causal language modeling objective.
+
+### Compute Infrastructure
+
+[Describe hardware used for training]
+
+## Citation
+
+```bibtex
+@software{trouter20b2025,
+  title={Trouter-20B: A 20 Billion Parameter Language Model},
+  author={Your Name},
+  year={2025},
+  url={https://huggingface.co/your-username/Trouter-20B}
+}
+```
+
+## Contact
+
+[Your contact information or discussion forum link]