rosemarla/qwen3-classify

rosemarla/ qwen3-classify

2,223 Downloads Updated 1 year ago

spam detection

tools

ollama run rosemarla/qwen3-classify

curl http://localhost:11434/api/chat \
  -d '{
    "model": "rosemarla/qwen3-classify",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='rosemarla/qwen3-classify',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'rosemarla/qwen3-classify',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model rosemarla/qwen3-classify

Codex App ollama launch codex-app --model rosemarla/qwen3-classify

OpenClaw ollama launch openclaw --model rosemarla/qwen3-classify

Hermes Agent ollama launch hermes --model rosemarla/qwen3-classify

Codex ollama launch codex --model rosemarla/qwen3-classify

OpenCode ollama launch opencode --model rosemarla/qwen3-classify

Models

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Name

1 model

Size / Usage

Context

Input

qwen3-classify:latest

1.2GB · 40K context window · Text · 1 year ago

qwen3-classify:latest

1.2GB

40K

Text

Readme

very fast spam detection optimized for nostr.

this classification model is designed to filter out following message types: - rss feeds - news feeds - clear spam messages that do not mean anything - price indicator bots - airdrop bots - etc.

it performs short thinking and responds with 1 if ok and 0 if spam.