Trouter-20b / model-card.md
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metadata
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

@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]