Rzkoohi/Qwen2.5-4B-CCNA

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 29, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

Rzkoohi/Qwen2.5-4B-CCNA is a 1.5 billion parameter Qwen2.5-based language model, fine-tuned by Rzkoohi for Cisco CCNA concepts and computer networking tasks. This specialized model excels at providing accurate responses to CCNA-related questions, making it suitable for networking education and CLI assistance. It offers domain-specific knowledge while remaining lightweight enough for modest hardware.

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Model Overview

Rzkoohi/Qwen2.5-4B-CCNA is a specialized language model built upon the Qwen2.5-1.5B-Instruct base model. Developed by Rzkoohi, this model has undergone Supervised Fine-Tuning (SFT) to focus specifically on Cisco CCNA (Cisco Certified Network Associate) concepts and computer networking tasks. Its primary differentiator is its domain-specific knowledge, allowing it to provide more accurate and relevant responses to networking-related queries compared to general-purpose models.

Key Capabilities

  • Domain Specialization: Highly proficient in Cisco CCNA topics, including IPv4/IPv6, Subnetting, VLANs, OSPF, ACLs, NAT/PAT, and Cisco IOS CLI.
  • Lightweight Deployment: Designed to be efficient, enabling deployment on hardware with modest resources.
  • Educational Focus: Ideal for assisting with Cisco networking education and providing explanations of complex network concepts.

Intended Use Cases

  • Cisco Networking Education: Answering questions and explaining concepts for students and professionals studying for CCNA.
  • CLI Assistance: Providing guidance and examples for Cisco IOS Command Line Interface operations.
  • Network Troubleshooting: Assisting with diagnostic steps and solutions for common network issues.
  • AI Networking Assistants: Serving as the core intelligence for chatbots or tools focused on networking support.

Limitations

While highly effective within its specialized domain, the model's performance may be limited on subjects unrelated to Cisco CCNA. Configuration examples generated by the model should always be reviewed and validated before implementation in production environments.

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