Speed and Conversational Large Language Models: Not All Is About Tokens per Second
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866916626210750464 |
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| author | Conde, Javier González, Miguel Reviriego, Pedro Gao, Zhen Liu, Shanshan Lombardi, Fabrizio |
| author_facet | Conde, Javier González, Miguel Reviriego, Pedro Gao, Zhen Liu, Shanshan Lombardi, Fabrizio |
| contents | The speed of open-weights large language models (LLMs) and its dependency on the task at hand, when run on GPUs, is studied to present a comparative analysis of the speed of the most popular open LLMs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_16721 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Speed and Conversational Large Language Models: Not All Is About Tokens per Second Conde, Javier González, Miguel Reviriego, Pedro Gao, Zhen Liu, Shanshan Lombardi, Fabrizio Computation and Language Artificial Intelligence The speed of open-weights large language models (LLMs) and its dependency on the task at hand, when run on GPUs, is studied to present a comparative analysis of the speed of the most popular open LLMs. |
| title | Speed and Conversational Large Language Models: Not All Is About Tokens per Second |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2502.16721 |