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| Hauptverfasser: | , , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2508.18255 |
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| _version_ | 1866911132902490112 |
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| author | Teknium, Ryan Jin, Roger Suphavadeeprasit, Jai Mahan, Dakota Quesnelle, Jeffrey Li, Joe Guang, Chen Sands, Shannon Malhotra, Karan |
| author_facet | Teknium, Ryan Jin, Roger Suphavadeeprasit, Jai Mahan, Dakota Quesnelle, Jeffrey Li, Joe Guang, Chen Sands, Shannon Malhotra, Karan |
| contents | We present Hermes 4, a family of hybrid reasoning models that combine structured, multi-turn reasoning with broad instruction-following ability. We describe the challenges encountered during data curation, synthesis, training, and evaluation, and outline the solutions employed to address these challenges at scale. We comprehensively evaluate across mathematical reasoning, coding, knowledge, comprehension, and alignment benchmarks, and we report both quantitative performance and qualitative behavioral analysis. To support open research, all model weights are published publicly at https://huggingface.co/collections/NousResearch/hermes-4-collection-68a731bfd452e20816725728 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_18255 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hermes 4 Technical Report Teknium, Ryan Jin, Roger Suphavadeeprasit, Jai Mahan, Dakota Quesnelle, Jeffrey Li, Joe Guang, Chen Sands, Shannon Malhotra, Karan Artificial Intelligence We present Hermes 4, a family of hybrid reasoning models that combine structured, multi-turn reasoning with broad instruction-following ability. We describe the challenges encountered during data curation, synthesis, training, and evaluation, and outline the solutions employed to address these challenges at scale. We comprehensively evaluate across mathematical reasoning, coding, knowledge, comprehension, and alignment benchmarks, and we report both quantitative performance and qualitative behavioral analysis. To support open research, all model weights are published publicly at https://huggingface.co/collections/NousResearch/hermes-4-collection-68a731bfd452e20816725728 |
| title | Hermes 4 Technical Report |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2508.18255 |