Text Generation
Transformers
Safetensors
gemma
conversational
text-generation-inference
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  <div align="center">
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  <h2>🎯 Background and Motivation</h2>
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  </div>
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  - Open-source contribution to Mojo ecosystem
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  - Supporting multilingual access to Mojo programming
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- Code should be reviewed and tested before production use, especially for performance-critical applications.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <div align="center">
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  <h2>🎯 Background and Motivation</h2>
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  </div>
 
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  - Open-source contribution to Mojo ecosystem
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  - Supporting multilingual access to Mojo programming
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+ Code should be reviewed and tested before production use, especially for performance-critical applications.
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+ <div align="center">
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+ <h2>📚 Citation</h2>
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+ </div>
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+ If you find our work helpful, please consider citing our paper:
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+ <div style="background-color: #f6f8fa; padding: 20px; border-radius: 5px; margin: 10px 0;">
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+ <p style="margin-bottom: 10px;"><strong>MojoBench: Language Modeling and Benchmarks for Mojo</strong></p>
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+ ```bibtex
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+ @inproceedings{Raihan2024MojoBenchLM,
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+ title = {MojoBench: Language Modeling and Benchmarks for Mojo},
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+ author = {Raihan, Nishat and Santos, Joanna C. S. and Zampieri, Marcos},
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+ year = {2024},
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+ url = {https://api.semanticscholar.org/CorpusID:273532552}
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+ }
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+ ```