File size: 2,416 Bytes
8b3ba8b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | ---
license: mit
base_model: microsoft/phi-4
tags:
- network-engineering
- cisco
- grpo
- orpo
- phi-4
pipeline_tag: text-generation
---
# Phi-4 Network Architect v2
Fine-tuned [microsoft/phi-4](https://huggingface.co/microsoft/phi-4) (14B) for enterprise network engineering: OSPF/BGP troubleshooting, ACL design, Cisco IOS configuration, and CCDE/CCIE-level reasoning.
## Training Pipeline
Three-stage pipeline on AWS EC2 g5.2xlarge (NVIDIA A10G 24GB) using [Unsloth](https://github.com/unslothai/unsloth) + TRL 0.24.
### Stage 1 - SFT (Supervised Fine-Tuning)
Teaches the model what to say - protocol knowledge, IOS syntax, troubleshooting patterns.
| Param | Value |
|-------|-------|
| Dataset | 7,200 network engineering examples |
| Epochs | 2 |
| LoRA rank / alpha | 32 / 32 |
| Learning rate | 5e-5 |
| Effective batch | 16 |
| Precision | bfloat16 + 4-bit NF4 |
| Final loss | 0.2308 |
### Stage 2 - GRPO (Group Relative Policy Optimization)
Inspired by DeepSeek-R1. Teaches the model how to reason by generating 4 rollouts per prompt, scoring them with reward functions (factual accuracy, exact value matching, format compliance), and learning to prefer the best answers.
| Param | Value |
|-------|-------|
| Base | Stage 1 merged 16-bit |
| Steps | 2,400 |
| Rollouts per prompt | 4 |
| Max completion | 256 tokens |
| KL beta | 0.1 |
| Final loss | 0.001955 |
### Stage 3 - ORPO (Odds Ratio Preference Optimization)
Teaches the model what not to say. Trains on (prompt, chosen, rejected) triples where rejected responses are model-generated hallucinations. Penalizes wrong answers via odds-ratio loss - no separate reference model needed, fits on a single GPU.
| Param | Value |
|-------|-------|
| Base | Stage 1 merged 16-bit |
| Epochs | 1 |
| LoRA rank / alpha | 16 / 32 |
| Learning rate | 5e-6 |
| Beta | 0.1 |
Suppresses fabricated IOS commands, wrong subnet math, and nonexistent BGP attributes.
## Intended Uses
- Network fault diagnosis and root cause analysis
- Cisco IOS/IOS-XE configuration generation
- BGP/OSPF/EIGRP design recommendations
- ACL and security policy review
- CCDE/CCIE level architecture Q&A
- Agentic NetOps pipelines (ACP/A2A/MCP protocols)
## Limitations
- Optimized for Cisco IOS/IOS-XE; other vendors have limited coverage
- Verify configurations against current vendor documentation before production deployment
- Not a substitute for lab testing
|