Update README.md

README.md

@@ -113,13 +113,13 @@ Virtuoso-Small is the debut public release of the Virtuoso series of models by A
 
 - **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.
+- **Scalable Ecosystem**: Part of the Virtuoso series, Virtuoso-Small is fully interoperable with its larger siblings, Medium and Large, 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](https://models.arcee.ai). For larger-scale or more demanding applications, consider Virtuoso-Forte or Virtuoso-Prime.
+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-Medium or Virtuoso-Large.
 
 
 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)