Hermes 3 Technical Report
Fuente:
arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866914920506851328 |
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| author | Teknium, Ryan Quesnelle, Jeffrey Guang, Chen |
| author_facet | Teknium, Ryan Quesnelle, Jeffrey Guang, Chen |
| contents | Instruct (or "chat") tuned models have become the primary way in which most people interact with large language models. As opposed to "base" or "foundation" models, instruct-tuned models are optimized to respond to imperative statements. We present Hermes 3, a neutrally-aligned generalist instruct and tool use model with strong reasoning and creative abilities. Its largest version, Hermes 3 405B, achieves state of the art performance among open weight models on several public benchmarks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_11857 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Hermes 3 Technical Report Teknium, Ryan Quesnelle, Jeffrey Guang, Chen Computation and Language Instruct (or "chat") tuned models have become the primary way in which most people interact with large language models. As opposed to "base" or "foundation" models, instruct-tuned models are optimized to respond to imperative statements. We present Hermes 3, a neutrally-aligned generalist instruct and tool use model with strong reasoning and creative abilities. Its largest version, Hermes 3 405B, achieves state of the art performance among open weight models on several public benchmarks. |
| title | Hermes 3 Technical Report |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2408.11857 |