# Model Selection

Discover our collection of Small Language Models (SLMs) fine-tuned by Arcee AI, each optimized for specific tasks and designed to power efficient, production-ready applications.

<details>

<summary>Blitz - General Purpose</summary>

### **Arcee Blitz**

* **Description:** Arcee-Blitz (24B) is a new Mistral-based 24B model distilled from DeepSeek, designed to be both **fast and efficient**. We view it as a practical “workhorse” model that can tackle a range of tasks without the overhead of larger architectures.
  * **#Parameters:** 24B
  * **Base Model:** Mistral-Small-24B-Instruct-2501
  * Open-source and available on Hugging Face under the Apache-2.0 license: [arcee-ai/Arcee-Blitz](https://huggingface.co/arcee-ai/Arcee-Blitz)
* **Top Use Cases:**
  * General-purpose task handling
  * Business communication
  * Automated document processing for mid-scale applications

</details>

<figure><img src="https://2302384909-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FOUJInHjoAOfzq3bL12Af%2Fuploads%2FqDBGpVpiqdgqwLt8CWXg%2F2.png?alt=media&#x26;token=cddf2275-8ece-4251-802c-944589dc33df" alt="" width="250"><figcaption><p>Blitz</p></figcaption></figure>

<details>

<summary>Virtuoso  (Small, Large, Medium) - General Purpose</summary>

### **Virtuoso Large**

* **Description:** Our most powerful and versatile general-purpose model, designed to excel at handling complex and varied tasks across domains. With state-of-the-art performance, it offers unparalleled capability for nuanced understanding, contextual adaptability, and high accuracy.
  * **#Parameters:** 72B
  * **Base Model:** Qwen-2.5-72B
  * API Access is Available via Arcee Conductor: [https://conductor.arcee.ai](https://docs.arcee.ai/arcee-orchestra/introduction-to-arcee-orchestra)
* **Top Use Cases:**
  * Advanced content creation, such as technical writing and creative storytelling
  * Data summarization and report generation for cross-functional domains
  * Detailed knowledge synthesis and deep-dive insights from diverse datasets
  * Multilingual support for international operations and communications

### **Virtuoso Medium**

* **Description:** A versatile and powerful model, capable of handling complex and varied tasks with precision and adaptability across multiple domains. Ideal for dynamic use cases requiring significant computational power.
  * **#Parameters:** 32B
  * **Base Model:** Qwen-2.5-32B
  * API Access is Available via Arcee Conductor: [https://conductor.arcee.ai](https://docs.arcee.ai/arcee-orchestra/introduction-to-arcee-orchestra)
* **Top Use Cases:**
  * Content generation
  * Knowledge retrieval
  * Advanced language understanding
  * Comprehensive data interpretation

### **Virtuoso Small**

* **Description:** A streamlined version of Virtuoso, maintaining robust capabilities for handling complex tasks across domains while offering enhanced cost-efficiency and quicker response times.
  * **#Parameters:** 14B
  * **Base Model:** Qwen-2.5-14B
  * API access is available via Arcee Conductor: [https://conductor.arcee.ai](https://docs.arcee.ai/arcee-orchestra/introduction-to-arcee-orchestra)
  * Open-source and available on Hugging Face under the Apache-2.0 license: [arcee-ai/Virtuoso-Small](https://huggingface.co/arcee-ai/Virtuoso-Small)&#x20;
* **Top use cases:**&#x20;
  * General-purpose task handling
  * Business communication
  * Automated document processing for mid-scale applications

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</details>

<figure><img src="https://2302384909-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FOUJInHjoAOfzq3bL12Af%2Fuploads%2FGjTKeV2UqBkcI3QSySAx%2FSimple%20Modern%20Minimalist%20Circle%20Design%20Studio%20Logo.svg?alt=media&#x26;token=f1a1a711-0772-45a5-bb40-fca9f97fdca0" alt="" width="250"><figcaption><p>Virtuoso</p></figcaption></figure>

<details>

<summary>Coder (Small, Large) - Coding</summary>

### Coder Large

* **Description:** A high-performance model tailored for intricate programming tasks, Coder-Large thrives in software development environments. With its focus on efficiency, reliability, and adaptability, it supports developers in crafting, debugging, and refining code for complex systems.
  * **#Parameters:** 32B
  * **Base Model:** Qwen-2.5-32B-Instruct
  * Arcee Conductor: [https://conductor.arcee.ai](https://docs.arcee.ai/arcee-orchestra/introduction-to-arcee-orchestra)
* **Top use cases:**
  * Writing modular, reusable code across various programming languages
  * Debugging and optimizing performance in large-scale applications
  * Generating efficient algorithms for computationally intensive tasks
  * Supporting DevOps processes, such as script automation and CI/CD pipelines

### Coder Small

* **Description:** A compact, high-performance coding model designed for efficient programming tasks, including generating code, debugging, and optimizing scripts for smaller projects.
  * **#Parameters:** 14B
  * **Base Model:** Qwen-2.5-32B-Instruct
* **Top use cases:**
  * Lightweight development tasks
  * Automated code reviews
  * Generating templates or prototypes quickly, code completion

</details>

<figure><img src="https://2302384909-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FOUJInHjoAOfzq3bL12Af%2Fuploads%2FG2Z9JQI00v3oA4lnHjVt%2FSimple%20Modern%20Minimalist%20Circle%20Design%20Studio%20Logo.svg?alt=media&#x26;token=e227e447-4cf2-459d-9bdf-0dbea39f8bc3" alt="" width="250"><figcaption><p>Coder</p></figcaption></figure>

<details>

<summary>Caller (Large) - Tool Use and Function Call</summary>

### Caller

* **Description:** Engineered for seamless integrations, Caller-Large is a robust model optimized for managing complex tool-based interactions and API function calls. Its strength lies in precise execution, intelligent orchestration, and effective communication between systems, making it indispensable for sophisticated automation pipelines.
  * **#Parameters:** 32B
  * **Base Model:** Qwen-2.5-32B
  * API Access is Available via Arcee Conductor: [https://conductor.arcee.ai](https://docs.arcee.ai/arcee-orchestra/introduction-to-arcee-orchestra)
* **Top use cases:**
  * Managing integrations between CRMs, ERPs, and other enterprise systems
  * Running multi-step workflows with intelligent condition handling
  * Orchestrating external tool interactions like calendar scheduling, email parsing, or data extraction
  * Real-time monitoring and diagnostics in IoT or SaaS environments

</details>

<figure><img src="https://2302384909-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FOUJInHjoAOfzq3bL12Af%2Fuploads%2FYTqHCbJnHlW8LC6koHkO%2FSimple%20Modern%20Minimalist%20Circle%20Design%20Studio%20Logo.svg?alt=media&#x26;token=f435c724-cf01-4109-ad91-d98fe0520559" alt="" width="250"><figcaption><p>Caller</p></figcaption></figure>

<details>

<summary>Maestro - Reasoning</summary>

### Maestro

* **Description:** An advanced reasoning model optimized for high-performance enterprise applications. Building on the innovative training techniques first deployed in maestro-7b-preview, Maestro-32B offers significantly enhanced reasoning capabilities at scale, rivaling or surpassing leading models like OpenAI’s O1 and DeepSeek’s R1, but at substantially reduced computational costs.
  * **#Parameters:** 32B
  * **Base Model:** Qwen-2.5-32B
  * API Access is Available via Arcee Conductor: [https://conductor.arcee.ai](https://docs.arcee.ai/arcee-orchestra/introduction-to-arcee-orchestra)
  * Hybrid training method:
    1. Warm-up (SFT Phase): Quick supervised fine-tuning phase to prime the model with high-quality reasoning exemplars.
    2. RL Optimization Phase: Utilizes Reinforcement Learning techniques, specifically designed to boost logical coherence, depth of reasoning, and accurate inference by encouraging problem-solving from fundamental principles.
* **Top Use Cases:**
  * Enterprise decision support systems
  * Complex analytical and logical inference tasks
  * Automated research and analysis workflows
  * Generative reasoning for technical and professional contexts

</details>

<figure><img src="https://2302384909-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FOUJInHjoAOfzq3bL12Af%2Fuploads%2FEn9kRabvFtfy8niiBCFx%2F4.png?alt=media&#x26;token=769819cf-a861-4263-8d0b-8325976925dc" alt="" width="250"><figcaption><p>Maestro</p></figcaption></figure>