File size: 2,978 Bytes
61d933f
283f73e
 
 
61d933f
 
283f73e
 
 
61d933f
283f73e
61d933f
283f73e
61d933f
 
283f73e
61d933f
283f73e
 
 
 
 
 
 
 
 
 
 
 
 
61d933f
283f73e
61d933f
283f73e
61d933f
283f73e
 
 
61d933f
283f73e
61d933f
283f73e
61d933f
283f73e
61d933f
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
---
license: apache-2.0
base_model:
- Qwen/Qwen2.5-14B
---

<div align="center">
  <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;">
</div>

# Virtuoso-Small

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).


## Performance Benchmarks

| **Groups**                | **Metric**               | ↑ | **Value** | ±  | **Stderr** |
|---------------------------|--------------------------|---|----------:|----|-----------:|
| **Leaderboard**           | **Accuracy**            | ↑ | 0.5194    | ±  | 0.0046     |
|                           | Normalized Accuracy     | ↑ | 0.5814    | ±  | 0.0051     |
|                           | Exact Match             | ↑ | 0.3006    | ±  | 0.0117     |
|                           | Instruction-Level Loose Accuracy | ↑ | 0.8489 | ±  | N/A        |
|                           | Instruction-Level Strict Accuracy | ↑ | 0.8249 | ±  | N/A        |
|                           | Prompt-Level Loose Accuracy | ↑ | 0.7856 | ±  | 0.0177     |
|                           | Prompt-Level Strict Accuracy | ↑ | 0.7523 | ±  | 0.0186     |
| **Leaderboard-BBH**       | Normalized Accuracy     | ↑ | 0.6516    | ±  | 0.0058     |
| **Leaderboard-GPQA**      | Normalized Accuracy     | ↑ | 0.3389    | ±  | 0.0137     |
| **Leaderboard-Math-Hard** | Exact Match             | ↑ | 0.3006    | ±  | 0.0117     |
| **Leaderboard-MuSR**      | Normalized Accuracy     | ↑ | 0.4286    | ±  | 0.0175     |

---

## Key Features

- **Compact and Efficient**: With 14 billion parameters, Virtuoso-Small provides a high-performance solution optimized for smaller hardware configurations without sacrificing quality.
- **Business-Oriented**: Tailored for use cases such as customer support, content creation, and technical assistance, Virtuoso-Small meets the demands of modern enterprises.
- **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.

---

## Deployment Options

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.