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Reponx

Reponx

AI for Network & Cloud Operations, Network Automation, Troubleshooting, Agentic AI

Models in Library2
Datasets in Library0
Models on Hugging Face2
Followers1

Compare the published evidence

This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: apache-2.0, llama3.1. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

Network-Cloud-Ops-Engineer-9B

Reponx

Reponx 9B is a specialized AI model for network engineering, network operations, cloud networking, troubleshooting, and infrastructure operations. It is designed to help network and cloud engineers investigate technical issues using an evidence-first and safety-conscious troubleshooting approach. 1. Diagnose the likely problem. 2. Gather evidence before making changes. 3. Recommend read-only checks and commands first. 4. Explain what the results mean. 5. Suggest controlled remediation when appropriate. 6. Include validation and rollback considerations. Reponx 9B is a PEFT/LoRA fine-tuned model based on Qwen/Qwen3.5-9B. Load the Qwen3.5-9B base model with the Reponx adapter: Reponx provides…

Open weights apache-2.0 peft

Built with Llama. A LoRA adapter for meta-llama/Llama-3.1-8B-Instruct that turns it into a network and cloud operations assistant for Cisco, Palo Alto Networks, Microsoft Azure and AWS. It is trained to work with retrieved reference documents (RAG): it diagnoses the problem, rates the risk of the change, requires approval, and takes the exact commands from the references you provide instead of from memory. When the references do not contain the needed commands, it says so and does not guess. Diagnosis → Risk → Action Type (read / write / high) → Approval → Warning → Commands/Action → Verification → Rollback Held-out test of 124 questions (never seen in training), with the correct reference…

Open weights llama3.1 peft