robmaster/Spatz-14B-de

robmaster/ Spatz-14B-de

452 Downloads Updated 1 year ago

This is an English and German-speaking, universally applicable multi-talent based on Qwen2.5. It is ideal for working with tools.

tools

ollama run robmaster/Spatz-14B-de

curl http://localhost:11434/api/chat \
  -d '{
    "model": "robmaster/Spatz-14B-de",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='robmaster/Spatz-14B-de',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'robmaster/Spatz-14B-de',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model robmaster/Spatz-14B-de

Codex ollama launch codex --model robmaster/Spatz-14B-de

OpenCode ollama launch opencode --model robmaster/Spatz-14B-de

OpenClaw ollama launch openclaw --model robmaster/Spatz-14B-de

Models

View all →

Name

1 model

Size

Context

Input

Spatz-14B-de:latest

16GB · 128K context window · Text · 1 year ago

Spatz-14B-de:latest

16GB

128K

Text

Readme

Attention, the context size must be specified explicitly, otherwise the default is 2048 tokens, up to 128,000 tokens are supported. A good value is 32,000. Start the Ollama server with the following parameters:

OLLAMA_CONTEXT_LENGTH=32000 ollama serve

Now you can test the model with the call

ollama run robmaster/Spatz-14B-de