NetIntel/NetIntelOCR-7B-0925

NetIntel/ NetIntelOCR-7B-0925

189 Downloads Updated 7 months ago

NetIntelOCR model is fine tuned from Qwen2.5-VL-7B-Instruct to support Security and Network extraction for Semantic CMDBs.

vision

ollama run NetIntel/NetIntelOCR-7B-0925

curl http://localhost:11434/api/chat \
  -d '{
    "model": "NetIntel/NetIntelOCR-7B-0925",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='NetIntel/NetIntelOCR-7B-0925',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'NetIntel/NetIntelOCR-7B-0925',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

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Name

1 model

Size

Context

Input

NetIntelOCR-7B-0925:latest

9.0GB · 125K context window · Text, Image · 7 months ago

NetIntelOCR-7B-0925:latest

9.0GB

125K

Text, Image

Readme

NetIntel-OCR is a specialized tool designed for network engineers and security professionals to automatically extract, analyze, and convert network diagrams from PDF documents into structured formats. Using advanced OCR and AI technologies, it identifies network topologies, components, and connections, transforming them into actionable intelligence.

Project Details : https://pypi.org/project/netintel-ocr/

Network Intelligence Extraction

Automatic Network Detection: AI-powered identification of network diagrams in documents.
Component Recognition: Identifies routers, switches, firewalls, servers, and other network elements
Connection Mapping: Traces and documents network paths and relationships
Security Architecture Analysis: Extracts security zones, DMZs, and trust boundaries