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license: apache-2.0 |
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base_model: |
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- Qwen/Qwen2.5-14B |
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<div align="center"> |
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<img src="https://i.ibb.co/pXD6Bcv/SW2-U-g-QQLSH1-ZAbxhs-Iu-A.webp" alt="Virtuoso-Small" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;"> |
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</div> |
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GGUF Available [Here](https://huggingface.co./arcee-ai/Virtuoso-Small-GGUF) |
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# Virtuoso-Small |
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Virtuoso-Small is the debut public release of the Virtuoso series of models by Arcee.ai, designed to bring cutting-edge generative AI capabilities to organizations and developers in a compact, efficient form. With 14 billion parameters, Virtuoso-Small is an accessible entry point for high-quality instruction-following, complex reasoning, and business-oriented generative AI tasks. Its larger siblings, Virtuoso-Forte and Virtuoso-Prime, offer even greater capabilities and are available via API at [models.arcee.ai](https://models.arcee.ai). |
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## Performance Benchmarks |
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| **Groups** | **Metric** | ↑ | **Value** | ± | **Stderr** | |
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|---------------------------|--------------------------|---|----------:|----|-----------:| |
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| **Leaderboard** | **Accuracy** | ↑ | 0.5194 | ± | 0.0046 | |
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| | Normalized Accuracy | ↑ | 0.5814 | ± | 0.0051 | |
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| | Exact Match | ↑ | 0.3006 | ± | 0.0117 | |
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| | Instruction-Level Loose Accuracy | ↑ | 0.8489 | ± | N/A | |
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| | Instruction-Level Strict Accuracy | ↑ | 0.8249 | ± | N/A | |
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| | Prompt-Level Loose Accuracy | ↑ | 0.7856 | ± | 0.0177 | |
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| | Prompt-Level Strict Accuracy | ↑ | 0.7523 | ± | 0.0186 | |
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| **Leaderboard-BBH** | Normalized Accuracy | ↑ | 0.6516 | ± | 0.0058 | |
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| **Leaderboard-GPQA** | Normalized Accuracy | ↑ | 0.3389 | ± | 0.0137 | |
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| **Leaderboard-Math-Hard** | Exact Match | ↑ | 0.3006 | ± | 0.0117 | |
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| **Leaderboard-MuSR** | Normalized Accuracy | ↑ | 0.4286 | ± | 0.0175 | |
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## Key Features |
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- **Compact and Efficient**: With 14 billion parameters, Virtuoso-Small provides a high-performance solution optimized for smaller hardware configurations without sacrificing quality. |
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- **Business-Oriented**: Tailored for use cases such as customer support, content creation, and technical assistance, Virtuoso-Small meets the demands of modern enterprises. |
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- **Scalable Ecosystem**: Part of the Virtuoso series, Virtuoso-Small is fully interoperable with its larger siblings, Forte and Prime, enabling seamless scaling as your needs grow. |
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## Deployment Options |
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Virtuoso-Small is available under the Apache-2.0 license and can be deployed locally or accessed through an API at [models.arcee.ai](https://models.arcee.ai). For larger-scale or more demanding applications, consider Virtuoso-Forte or Virtuoso-Prime. |
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