AMead10/Virtuoso-Small-AWQ

GGUF Available Here

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.

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

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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.

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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. For larger-scale or more demanding applications, consider Virtuoso-Forte or Virtuoso-Prime.