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Tiny Random Xlnet by akreal

By akreal · 302 downloads
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Tiny Random Xlnet is an open-source language model by akreal. Features: 148.5k LLM, LLM Explorer Score: 0.

  Endpoints compatible   Pytorch   Region:us   Safetensors   Tf   Xlnet
Model Card on HF 🤗: https://huggingface.co/akreal/tiny-random-xlnet 

Tiny Random Xlnet Parameters and Internals

Model Type 
transformer, text generation
Use Cases 
Areas:
testing, educational
Applications:
demonstrations, learning
Primary Use Cases:
example for model architecture
Limitations:
not suitable for production scenarios
Considerations:
Not intended for real task processing
Additional Notes 
For educational purposes only.
Supported Languages 
English (Basic)
Training Details 
Data Sources:
synthetic data
Data Volume:
small
Methodology:
random initialization
Context Length:
128
Training Time:
few minutes
Hardware Used:
single GPU
Model Architecture:
transformer-based
Input Output 
Input Format:
plain text
Accepted Modalities:
text
Output Format:
interpreted tokens
Performance Tips:
None due to random initialization.
Release Notes 
Version:
1.0
Date:
2023-10-01
Notes:
Initial random model.
LLM NameTiny Random Xlnet
Repository 🤗https://huggingface.co/akreal/tiny-random-xlnet 
Model Size148.5k
Required VRAM0 GB
Updated2026-08-06
Maintainerakreal
Model Typexlnet
Model Files  0.0 GB   0.0 GB
Model ArchitectureAutoModel
Transformers Version4.10.0.dev0
Vocabulary Size99